This is the 1st February 2023 digest of SIGARCH Messages.

In This Issue


SIGARCH ELECTIONS CANDIDATE SLATE
https://www.acm.org/elections/sigs/2023-candidate-slate
Submitted by Boris Grot

ACM has announced the candidate slate for the upcoming SIGARCH elections, which can be viewed here: https://www.acm.org/elections/sigs/2023-candidate-slate.

Elections will commence on April 3.

Note that the cut-off date to register as an ACM SIGARCH member in order to be eligible to vote is March 15.


Call for Nominations: Call for Nominations: ACM SIGARCH Maurice Wilkes Award
https://www.sigarch.org/benefit/awards/acm-sigarch-maurice-wilkes-award
Submitted by Boris Grot

ACM SIGARCH Maurice Wilkes Award

The award is given annually for an outstanding contribution to computer architecture made by an individual whose computer-related professional career started no more than 20 years prior to the year of the award. The award is presented annually at the International Symposium on Computer Architecture (ISCA) Awards Banquet. This year’s recipient will be invited to accept the award at ISCA 2023.

For full details, including nomination instructions, visit: https://www.sigarch.org/benefit/awards/acm-sigarch-maurice-wilkes-award

Deadline: March 1, 2023


Call for Nominations: Call for Nominations: ACM SIGARCH Alan D. Berenbaum Distinguished Service Award
https://www.sigarch.org/benefit/awards/acm-sigarch-distinguished-service-award
Submitted by Boris Grot

ACM SIGARCH Alan D. Berenbaum Distinguished Service Award

The award is presented to an individual who has contributed important service to the computer architecture community. The award is presented annually at the International Symposium on Computer Architecture (ISCA) Awards Banquet. This year’s recipient will be invited to accept the award at ISCA 2023.

For full details, including nomination instructions, visit: https://www.sigarch.org/benefit/awards/acm-sigarch-distinguished-service-award

Deadline: March 1, 2023


Call for Nominations: Call for Nominations: SIGARCH/TCCA Outstanding Dissertation Award
https://www.sigarch.org/benefit/awards/acm-sigarch-ieee-cs-tcca-outstanding-dissertation-award
Submitted by Boris Grot

The SIGARCH/TCCA Outstanding Dissertation award recognizes excellent thesis research by doctoral candidates in the field of computer architecture. Eligible dissertations must have been successfully defended and deposited in the previous calendar year.

Full details, including nomination instructions: https://www.sigarch.org/benefit/awards/acm-sigarch-ieee-cs-tcca-outstanding-dissertation-award

Deadline: February 1, 2022


Call for Nominations: SIGARCH Elections

Submitted by Babak Falsafi

The SIGARCH elections nominating committee invites nominations (including self-nominations) for candidates to serve on the SIGARCH Executive Committee (EC). The nominating committee will select the final slate of candidates for elections to be held according to ACM rules. The initial term for the EC is for two years, beginning July 1st, 2023, with a possible extension for another two years.

The EC positions are:
Chair
Vice-chair
Secretary/Treasurer
Board of Directors (4 members) 

The SIGARCH EC is a working committee where each member is responsible for at least one substantive project in the service of the architecture community. Besides overseeing a  rich portfolio of conferences and awards, the EC has launched a number of initiatives in recent years including (but not limited to) the Computer Architecture Today blog and Computer Architecture Podcast, student mentoring (now in collaboration with CASA), the CARES committee (with SIGMICRO) and best practices guidelines (with IEEE CS TCCA) and more – see the last SIGARCH annual report for the portfolio of current activities. Joining the SIGARCH EC therefore requires a significant time commitment in exchange for an opportunity to make an impact on our community and enjoy a rewarding service experience.

The nominating committee will select the final slate of candidates based on enthusiasm, vision, past record of service (commensurate with seniority), and multiple dimensions of diversity.

Please submit a nomination with the following information to chair_sigarch@acm.org by 5pm (Anywhere on Earth) November 7th, 2022.

  • Name, affiliation, and email address of the nominee.
  • Position sought (chair/vice-chair/treasurer/director).
  • Previous significant service to SIGARCH and ACM.
  • Other significant service and relevant experience.
  • A brief biography or curriculum vitae.
  • Recent institutional affiliations.
  • Areas of research expertise within computer architecture.
  • A brief statement from the nominee (e.g., 150 words) in support of the nomination (e.g., a description of their ideas and commitment if elected).

All final candidates must be professional ACM members and SIGARCH members by the time of final selection. The nominating committee consists of current and past SIGARCH chairs: Babak Falsafi (chair), Sarita Adve, David Wood.


Call for Nominations: MICRO Test of Time Award 2022
https://www.microarch.org/tot/cfn.html
Submitted by Saugata Ghose

The MICRO Test of Time (ToT) Award Committee is soliciting nominations for the ninth MICRO ToT Award. This award recognizes the most influential papers published in past MICRO conferences that have had significant impact in the field.

The award will recognize an influential MICRO paper whose influence is still felt 18-22 years after its initial publication. In other words, the award will be given to at most one paper that was published at MICRO conferences in any of the years N-22, N-21, N-20, N-19, or N-18. This year, N = 2022, so only papers published at MICRO conferences held in 2000, 2001, 2002, 2003, or 2004 are eligible. An eligible paper that has received at least 100 citations (according to Google Scholar) is automatically nominated, but explicit nominations of such papers are still encouraged.

Nominating A Paper

To nominate a paper, send an email to micro-tot-award-nominations@googlegroups.com by September 9, 2022, with the following:

  1. The title, the author list, and publication year of the nominated paper
  2. A 100-word (maximum) nomination statement, describing why the paper deserves the Test of Time Award
  3. The name, title, affiliation of the nominator, and if appropriate, the relationship of the nominator to the authors

Only one paper can be nominated in a single email. There is a maximum of five nominations per person. You cannot nominate a paper that you are a co-author on. One paper will be selected as the award winner from the pool of nominees by the award committee.

For more information on the nomination and selection process, a list of all eligible papers, this year’s committee members, prior award winners, and other information, please visit https://www.microarch.org/tot/cfn.html


Call for Participation: CGO 2023
https://www.cgo.org
Submitted by Bernhard Egger

ACM/IEEE International Symposium on Code Generation and Optimization (CGO 2023)
Call for Participation
Co-located with PPoPP, HPCA, and CC
Montreal, Canada
February 25 – March 1, 2023
https://www.cgo.org/

The International Symposium on Code Generation and Optimization (CGO) is a premier venue to bring together researchers and practitioners working at the interface of hardware and software on a wide range of optimization and code generation techniques and related issues. The conference spans the spectrum from purely static to fully dynamic approaches, and from pure software-based methods to specific architectural features and support for code generation and optimization.

Registration (early-bird deadline: January 31)
https://conf.researchr.org/attending/cgo-2023/registration
Registration to CGO will give you full access to all co-located events on the day(s) selected (CC, PPoPP, HPCA).

Detailed program:
https://conf.researchr.org/program/cgo-2023/program-cgo-2023/

List of accepted papers:
https://conf.researchr.org/track/cgo-2023/cgo-2023-main-conference#event-overview

List of workshops/tutorials:
https://conf.researchr.org/track/cgo-2023/cgo-2023-workshops-and-tutorials#Accepted-Workshops-and-Tutorials

For more information, please visit the CGO conference website at https://www.cgo.org.


Call for Participation: gem5 Tutorial at HPCA 2023
https://www.gem5.org/events/hpca-2023
Submitted by Bobby Bruce

We wish to make the computer architecture research community aware of a gem5 tutorial to be held at HPCA 2023 (Montreal, February 25th). This gem5 tutorial is designed to give computer architecture researchers a “crash course” in using gem5. No prior experience is required and the event is open to anyone wanting to attend.

The gem5 tutorial will be carried out over the course of a 3 hour session with attendees working from their own laptops. A tentative schedule is shown here:

– Getting started with gem5 [1.5 hours]
This will cover a basic introduction of gem5, gem5’s (software) architecture, compiling gem5, running simple systems using the gem5 standard library, and analyzing the gem5 statistical output.

– Extending gem5 [~1 hour]
This will go deeper into the structure of gem5 code and how to create a gem5 SimObject, a gem5 library component, and incorporating them into a working simulation.

– Deeper gem5 topics [~1 hour]
Here we will discuss the gem5 memory system, ruby, and go over other gem5 features such as checkpointing, KVM-mode, and the gem5 Simulator module. This session will conclude with a general discussion about gem5’s strengths and limitations.

Previous gem5 tutorials were well-attended and provided a good opportunity to network with others in the gem5 community.


Call for Participation: ESWEEK 2022
https://esweek.org
Submitted by Lars Bauer

EMBEDDED SYSTEMS WEEK
Call for Participation
Hybrid-Shanghai-Phoenix, October 07-14, 2022

Home

About Embedded Systems Week (ESWEEK)

Embedded Systems Week (ESWEEK) is the premier event covering all aspects of hardware and software design for intelligent and connected computing systems. By bringing together three leading conferences (CASES, CODES+ISSS, EMSOFT), two symposia (NOCS, MEMOCODE), and several workshops, tutorials, and education classes, ESWEEK allows attendees to benefit from a wide range of topics covering the state of the art in embedded systems research and development.

ESWEEK 2022 will be a week-long and truly hybrid event, with in-person and online events in Shanghai and Phoenix as well as online-only events. All sessions, except for offline social events, will be accessible through the ESWEEK Gather space. The program of ESWEEK 2022 will run from Oct 7-14, 2022, around the clock. A short teaser video (1 min) of each talk and a PDF file of each journal-track and work-in-progress (WiP) paper will be made available in the program two weeks before the conference.

Shanghai Program

Phoenix Program

Virtual Program

Registered attendees can attend sessions in any of the online events, including three leading conferences (CASES, CODES+ISSS, EMSOFT), two symposia (NOCS and MEMOCODE), tutorials, workshops, and education classes. Early registration deadline: Sept. 20, 2022, 12:00pm GMT

Registration

Plenary Talks

Keynotes

  • Keynote 1: “Blockchain, Big Data, and AI Empower High-Quality Development of Industrial Internet”, by Dr. Jie Li, Shanghai Jiao Tong University
  • Keynote 2: “Outracing Champion Gran Turismo Drivers with Deep Reinforcement Learning”, by Peter Stone, The University of Texas at Austin
  • Keynote 3: “The Computing and Information Science and Engineering Landscape: A Look Forward”, by Margaret Martonosi, National Science Foundation (NSF)
  • Skytalk 1: “AI for EDA”, by Yu Huang, HiSilicon, Huawei
  • Skytalk 2: “Open Source Software Stacks for Heterogeneous SoCs”, by Tomas Evensen, AMD/Xilinx
  • Panel: “Waferscale Computing Systems: Are We There Yet?”,
    Organizers: Puneet Gupta (UCLA), Saptadeep Pal (Auradine Inc.)
    Panelists: Rakesh Kumar (University of Illinois at Urbana Champaign), Gabriel H. Loh (AMD Research), Joel Hestness (Cerebras Systems), Dave Nellans (NVIDIA)

Conferences

  • CASES: International Conference on Compilers, Architecture, and Synthesis for Embedded Systems

    Cases


    Program Chairs: Preeti Panda, IIT Delhi, IN
    Swarup Bhunia, University of Florida, US

  • CODES+ISSS: International Conference on Hardware/Software Codesign and System Synthesis

    Codes+ISSS


    Program Chairs: Chengmo Yang, University of Delaware, US
    Mohammad Abdullah Al Faruque, UC Irvine, US

  • EMSOFT: International Conference on Embedded Software

    EMSOFT


    Program Chairs: David Broman, KTH Royal Institute of Technology, SE
    Claire Pagetti, ONERA, FR

Symposia

  • MEMOCODE: International Symposium on Formal Methods and Models for System Design
    https://esweek.org/memocode/
  • NOCS: International Symposium on Networks-on-Chip
    https://esweek.org/nocs/

Workshops

Workshops

  • Workshop on Compilers, Deployment, and Tooling for Edge AI (CODAI)
  • International Workshop on Heterogeneous Edge Computing for Embedded System (HEC)
  • International Workshop on Memory and Storage Computing (MSC)
  • International Workshop on Edge Intelligent Computing (EIC)
  • International Workshop on Rapid System Prototyping (RSP)
  • International Workshop on Secure RISC-V Architecture Design Exploration (SECRISC-V)
  • SIGBED x SIGDA Workshop on Emerging Techniques in System Design and Design Automation for Embedded Systems

Tutorials

Tutorials

  • T1: Tutorials on Quantum Control
  • T2: Taming Delays in Cyber-Physical Systems
  • T3: Tutorial on QuantumFlow+VACSEN: A Visualization System for Quantum Neural Networks on Noisy Quantum Device
  • T4: Integrating Compute Acceleration Into Embedded System Design Using Vitis
  • T5: Embedded Machine Learning: Design, Optimizations, and Applications
  • T6: Manycore processing-in-memory systems for accelerating deep learning applications
  • T7: Hardware Security and Trust Verification

Education Classes

Education

  • EC1: A Hitchhiker’s Guide to Systems Security: The Art and Science of Building and Breaking Secure Computing Systems
  • EC2: A synchronous approach for the design of biomedical cyber-physical systems
  • EC3: FPGA design for cryptography and security
  • EC4: Robustness against Poisoning Attacks in Centralized and Federated Deep Learning Scenarios: A Survey
  • EC5: Confidential Computing – protecting the confidentiality, integrity, and consistency of applications
  • EC6: An Exposition of Fault Based Attacks on Modern Cryptosystems
  • EC7: Fuzzing and automated repair of security vulnerabilities in embedded software
  • EC8: You better act normal! Ubiquitous electronic observation: Threats and Attempted Solutions
  • EC9: ML-Assisted Hardware Trojan Detection
  • EC10: High-Level Approaches to Hardware Security

Competitions

Student Competitions

  • ACM SIGBED Student Research Competition (SRC)
  • Embedded Human Activity Recognition Student Competition
  • F1-tenth Car Race

Organization

ESWEEK | 2022 Organizing Committee

ESWEEK 2022 General Chairs:
Aviral Shrivastava, Arizona State University, US (General Chair)
Xiaobo Sharon Hu, Notre Dame, US (Vice General Chair)

Shanghai Chair:
Edwin Sha, East China Normal University, CN


Call for Participation: Workshop on Artificial Intelligence and Machine Learning for Scientific Applications at SC’22
https://ai4s.github.io/
Submitted by Murali Emani

[AI4S]: The 3rd Workshop on Artificial Intelligence and Machine Learning for Scientific Applications
To be held in conjunction with SC22
Monday, 14 November 2022, 1:30pm – 5pm CST
Kay Bailey Hutchison Convention Center, Dallas, TX, USA
Website: https://ai4s.github.io/

Overview
The purpose of this workshop is to bring together computer scientists and domain scientists from academia, government, and industry to share recent advances in the use of AI/ML to various scientific applications, introduce new scientific application problems to the broader community, and stimulate tools and infrastructures to support the application of AI/ML in scientific applications.The workshop will be organized as a series of plenary talks based on peer-reviewed paper submissions accompanied by keynotes from distinguished researchers in the area and a panel discussion. We encourage participation and submissions from universities, industry, and DOE National Laboratories.

Artificial intelligence (AI)/machine learning (ML) is a game-changing technology that has shown tremendous advantages and improvements in algorithms, implementation, and applications. We have seen many successful stories of applying AI/ML to scientific applications, such as predicting extreme weather events, identifying exoplanets in trillions of sky pixels, and accelerating numerical solvers in fluid simulation. However, there are a number of problems remaining to be studied to enhance the usability of AI/ML to scientific applications. For example, how to systematically and automatically apply AI/ML to scientific applications? How to incorporate domain knowledge (e.g., conservation laws, invariants, causality and symmetries) into AI/ML models? How to make the models interpretable and robust for HPC? How to make AI/ML more approachable to the HPC community? Addressing the above problems will bridge the gap between AI/ML and scientific applications and enable wider employment of AI/ML in HPC.

Call for Papers
We solicit research papers in the following topic areas, but not be limited to:

  • Innovative AI/ML models to analyze, accelerate, or improve performance of scientific applications in terms of execution time and simulation accuracy;
  • Innovative methods to incorporate complex constraints imposed by physical principles to scientific applications;
  • Innovative methods to completely or partially replace first-order computation with efficient AI/ML models;
  • Tools and infrastructure to improve the usability of AI/ML to scientific applications;
  • Performance characterization and study on the possibility of using AI/ML to specific scientific applications;
  • Workflow of applying AI/ML to scientific applications;
  • Innovative methods to make AI models interpretable and robust for scientific applications.

Submissions

Authors are invited to submit manuscripts in English structured as technical papers up to 6 pages, letter size (8.5in x 11in) and including figures, tables, and references. Submissions not conforming to these guidelines may be returned without review. Your paper should be formatted using IEEE conference format which can be found from https://www.ieee.org/conferences/publishing/templates.html.

All manuscripts will be peer-reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. At least one author of an accepted paper must register for and attend the workshop. Authors may contact the workshop organizers for more information.

Papers should be submitted electronically at: https://submissions.supercomputing.org, SC22 Workshop: AI4S’22: Workshop on Artificial Intelligence and Machine Learning for Scientific Applications”.

The final papers are planned to be published through IEEE. Published proceedings will be included in the IEEE Xplore digital library.

Important Dates:

Submission Deadline: August 2, 2022 (AoE)
Notification of acceptance: September 8, 2022
Camera Ready: September 23, 2022
Workshop: November 14, 2022

Organizers

Gokcen Kestor, Pacific Northwest National Laboratory
Dong Li, University of California, Merced
Murali Krishna Emani, Argonne National Laboratory

Program Committee

Debbie Bard, Lawrence Berkeley National Laboratory
Kevin Barker, Pacific Northwest National Laboratory
Aparna Chandramowlishwaran, University of California, Irvine
Wenqian Dong, University of California, Merced
Yao Fehlis, AMD Research
Olexandr Isayev, Carnegie Mellon University
Jiawen Liu, Facebook
Brian C Van Essen, Lawrence Livermore National Laboratory
Natalia Vassilieva, Cerebras
Venkatram Vishwanath, Argonne National Laboratory
Laurent White, AMD Research


Call for Participation: IEEE/ACM MICRO-55
https://www.microarch.org/micro55/
Submitted by Georgios Tziantzioulis

55th IEEE/ACM International Symposium on Microarchitecture (MICRO-55)
October 1-5, 2022, Chicago, IL
https://www.microarch.org/micro55/

The IEEE/ACM International Symposium on Microarchitecture® is the premier forum for presenting, discussing, and debating innovative microarchitecture ideas and techniques for advanced computing and communication systems. The symposium brings together researchers in fields related to microarchitecture, compilers, chips, and systems for technical exchange on traditional microarchitecture topics and emerging research areas. The MICRO community has enjoyed a close interaction between academic researchers and industrial designers, and this tradition continues at MICRO-55. In 2022, MICRO will be held again in-person in Chicago, IL.

MICRO-55 Technical Program

  • 3 exciting live keynote talks and 83 technical papers
  • 21 weekend workshops/tutorials
  • Social events
    • Sunday evening reception at Westin Chicago River North
    • Monday evening excursion/banquet in one of Chicago’s most exciting museums
    • Conference grounds right next to the Chicago River Boardwalk and the River North neighborhood, a stylish district of art galleries, history-defining buildings, and home to one of the city’s most energetic culinary and nightlife scenes.

MICRO-55 Registration

Registration gives full access to all the symposium live events (all keynotes and all regular paper sessions), all live workshops/tutorials, and all recordings that are made as part of MICRO. Information about the full fee structure, along with details on when materials will be made available to registered attendees, can be found on the registration information https://www.microarch.org/micro55/attend/register.php.

Early registration ends on September 15th, at 9:59 PM PDT.


Call for Papers: ICS 2023
https://nschiele.github.io/ICS2023/cfp.html
Submitted by Kristian Rietveld

The ACM International Conference on Supercomputing (ICS) is the premier international forum for the presentation of research results in high-performance computing systems. The 37th edition of ICS will be part of ACM FCRC in Orlando June 21-23, 2023. Papers are solicited on all aspects of the architecture, software, and applications of high-performance computing systems of all scales (from chips to supercomputing systems), including but not limited to:

  • Processor, accelerator, memory, storage, interconnect and system architectures, including architectures based on future and emerging hardware (e.g. quantum, photonic, neuromorphic).
  • Programming languages, paradigms and execution models, including domain-specific languages and scientific problem-solving software environments.
  • Compilers, runtime systems and system software, including optimization and support for hardware resources and energy management.
  • High-performance algorithms and applications including machine learning and large-scale data analytics, as well as the implementation and deployment of algorithms and applications on large-scale systems.
  • Tools for measurement, modeling, analysis and visualization of performance, energy, or other quantitative properties of high-performance computing systems.

The review process will include a rebuttal period, and the papers will be evaluated based on novelty, technical soundness, and potential impact on the field.

General Chairs
Kyle Gallivan, Florida State University, USA
Efstratios Gallopoulos, University of Patras, Greece

Program Chairs
Ramon Beivide, University of Cantabria, Spain
Moh Haghighat, Intel

Important dates;
Abstract submission: January 27th, 2023
Paper submission: February 3th, 2023
Rebuttal period: April 3-4, 2023
Author notification: April 14th, 2023
Camera-ready paper submission: May 4th, 2023
Dates of the conference: June 21-23, 2023
All submission dates above are AOE (Anywhere on Earth). Consult the conference website, https://ics-conference.org/, for the most up-to-date information.


Call for Papers: ASAP 2023
http://www.asap2023.org
Submitted by Joao MP Cardoso

ASAP 2023
34th IEEE International Conference on Application-specific Systems, Architectures and Processors
Porto, Portugal – July 19-21, 2023
http://www.asap2023.org

The 34th IEEE International Conference on Application-specific Systems, Architectures, and Processors (ASAP 2023) is organized by the Faculty of Engineering of the University of Porto in Porto, Portugal, July 19 – July 21, 2023. The history of the ASAP conference traces back to the International Workshop on Systolic Arrays, organized in 1986 in Oxford, UK. It later developed into the International Conference on Application-Specific Array Processors. With its current title, it was organized for the first time in Chicago, USA, in 1996. Since then, it has alternated between Europe and North America.

Topics
The conference covers the theory and practice of application-specific systems, architectures, and processors. Further, the conference will build upon traditional strengths in areas such as:

  • Accelerator design for complex workloads, e.g., AI, big data, computational genomics, finance, and network processing
  • Application-specific instruction-set processors and architectures
  • Approximate computing
  • Autonomous computing systems
  • Cloud computing accelerators
  • Compression
  • Computer arithmetic
  • Cryptography and security
  • Design methods, tools, and compilers
  • Edge computing, wireless, mobile, IoT, and Cyber-Physical Systems
  • Embedded systems and domain-specific solutions
  • Heterogeneous computing, ranging from embedded to HPC systems and data centers
  • Reconfigurable and custom computing (FPGAs, CGRAs, etc.)
  • Signal and image processing
  • Simulation and prototyping (e.g., validation, performance analysis)
  • System quality attributes (energy efficiency, fault tolerance, security, etc.)
  • Systems using emerging technologies (e.g., optical computing or communication, 3D devices and interconnects, memristors for storage and logic, in-memory computing)

Authors are invited to submit original, unpublished research manuscripts on the above topics.

Important Dates

  • Abstract submission deadline: Feb 20, 2023
  • Paper submission deadline: Feb 27, 2023
  • Notification of acceptance: May 2, 2023
  • Camera-ready papers: May 29, 2023

Guidelines for Submissions

All papers will be reviewed by at least three members of the program committee, with a double-blind review process.

Manuscripts for full papers should not exceed 8 single-spaced, double-column pages using 10-point size font on 8.5×11 inch pages (IEEE conference style), including references, figures, and tables. Manuscripts for short papers should not exceed 4 single-spaced, double-column pages. Manuscripts for posters should not exceed 2 single-spaced, double-column pages.

All papers must be submitted electronically in PDF format.

Submission link: https://easychair.org/conferences/?conf=asap2023

All accepted papers must be presented by one of the authors in order to be included in the proceedings and published in the IEEE Xplore Digital Library.

Organizing Committee

General Chair:
João MP Cardoso, University of Porto, Faculty of Engineering / INESC TEC, Portugal

Program Co-Chairs:
Alexandra Jimborean, University of Murcia, Spain
Nele Mentens, Leiden University, The Netherlands, and KU Leuven, Belgium

Local Chair:
Pedro C. Diniz, University of Porto, Faculty of Engineering / INESC TEC, Portugal

Publicity Co-Chairs:
Seda Ogrenci, Northwestern University, USA
Vanderlei Bonato, University of São Paulo, ICMC, Brazil
Gianluca Palermo. Politecnico di Milano, Italy

Proceedings Chair:
José G. F. Coutinho, Imperial College London, UK

Finance Chair:
João Canas Ferreira, University of Porto, Faculty Of Engineering / INESC TEC, Portugal

Web and Registration Co-Chairs:
Nuno Paulino, University of Porto, Faculty Of Engineering / INESC TEC, Portugal

Student Volunteers Chair:
João Bispo, University of Porto, Faculty Of Engineering / INESC TEC, Portugal

Sponsorship Chair:
José T. Sousa, University of Lisbon / INESC-ID, Portugal

Steering Committee
José A.B. Fortes, University of Florida, USA
Sun-YuanKung, Princeton University, USA
Wayne Luk, Imperial College London, UK
Michael J. Schulte, AMD Research, USA
Earl Swartzlander, The University of Texas at Austin, USA


Call for Papers: DSN 2023
https://dsn2023.dei.uc.pt/calls_cfp-research.html
Submitted by Onur Mutlu

DSN 2023
The 53rd IEEE/IFIP International Conference on Dependable Systems and Networks
Porto, Portugal
June 27 – 30, 2023
http://dsn.org

Important dates:
All dates refer to AoE time (Anywhere on Earth)
Dec. 1, 2022: Abstract submission deadline
Dec. 7, 2022: Paper submission deadline
Jan. 28, 2023: Early reject notification
Feb. 15 – 28, 2023: Author rebuttal period & revision period
Mar. 17, 2023: Notification to authors

The society today is increasingly dependent on the correct functioning of computer systems, edge devices and networks for systems and services we use every day, such as aviation, energy production & power grids, intelligent/autonomous vehicles, medical devices & electronic health records, and many others.

The Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) is devoted to the mission of ensuring that the computing systems and networks on which society relies are dependable and secure.

DSN, one of the longest running IEEE conferences organizing its 53rd edition in 2023, has pioneered the fusion between dependability and security research under a common body of knowledge, understanding the need to simultaneously fight against accidental faults, intentional cyber-attacks, design errors, and unexpected operating conditions. Its distinctive approach to both accidental faults and malicious attacks made DSN the most prestigious international forum for presenting research furthering robustness and resilience of today’s wide spectrum of computing systems and networks.

All aspects of the research and practice of dependability and applied security are within the scope of DSN. Relevant topics include innovative architectures, protocols, and algorithms, for preventing, detecting, recovering, diagnosing or eliminating accidental and malicious threats as well as experimentation with and assessment of dependable and secure systems and networks.

Authors are invited to submit original papers on the current thematic areas of DSN:

  • Hardware (e.g., microprocessors, memory systems, systems on chip, I/O devices, storage systems,Trusted Execution Environments (TEEs), edge and mobile devices, data center infrastructure, hardware accelerators)
  • Software (e.g., applications, middleware, distributed algorithms, operating systems, software security, dependable software design)
  • Networked systems and clouds (e.g., wireless networks, mobility, software-defined networking, edge computing, cloud computing/storage, networks on chip, network security)
  • Autonomous systems (e.g., self-driving vehicles, autonomous robots, assured autonomy, explainable decision making, acceptability, privacy issues)
  • Cyber-physical systems (e.g., embedded systems, real-time control of critical systems, internet of things, smart grid, automotive, aerospace, railway, medical systems)
  • Distributed ledgers/Blockchain (e.g., BFT/consensus algorithms, cryptocurrencies, decentralized storage, zero knowledge proofs)
  • AI/Machine Learning for resilient systems (e.g., robust, resilient, secure, and explainable AI/Machine Learning techniques; applications of AI/ML techniques for dependability and security, robustness issues in ML/AI systems)
  • Models and methodologies for programming, evaluating, verifying, and assessing robust (dependable and secure) systems (e.g., performance and dependability evaluation, analytical and numerical methods, simulation, experimentation, benchmarking, verification, field data analysis)
  • Emerging technologies and computing paradigms (e.g., robustness, security, dependability issues of emerging memory and storage systems, emerging computing paradigms like quantum computing, processing in memory/sensors/storage/network, 3-dimensional architectures, new hardware/software cooperative paradigms, emerging programming and system paradigms)

Information to authors
Innovative papers in all areas of robust (dependable and secure) systems and networks will be considered. Papers will be assessed with criteria appropriate to each category. The conference broadly and inclusively favors innovative and insightful research that explores new territory, continues a significant research dialogue, or reflects on experience with (or measurements of) state-of-the-art systems. Submissions will be judged on insight, originality, significance, correctness and potential impact.

Research Papers, Practical Experience Reports, and Tool Descriptions will be refereed and included in the Proceedings of the DSN 2023, if accepted.

All contributions must be written in English. IEEE Computer Society will publish accepted contributions.

At least one author of every accepted paper is expected to register (as a regular registration) for the conference and present the work.

Paper Categories
Submissions can be made in one of the following categories (authors are required to indicate the category as part of the paper’s title).

Regular papers (11 pages): full paper describing research contribution, including experimental work focused on implementation and evaluation of existing techniques in the DSN thematic areas. Papers should clearly describe a novel scientific contribution and a significant advancement of the state of knowledge in DSN relevant topics. The paper should address a significant problem with a compelling solution whose validity and practical applicability are clearly discussed.

Practical experience reports (7 pages): a shorter paper describing practitioner experiences or lessons learned applying tools and techniques to real-world problems and systems, or based on the empirical analysis of field data using a rigorous scientific approach. A paper in this category is expected to show new insights and experiences informing the research and practice of robust computing system design. Contributions reporting on industry practical experiences and lessons learned are highly encouraged, including studies reporting negative results or challenges about the practical applicability or scalability of research results in industry

Tool descriptions/demonstrations (7 pages): descriptions of the architecture, implementation and usage of substantive tools to aid the research and practice of dependability. A tool paper is expected to describe and demonstrate the value that the tool brings to the dependability community. Making the tool publicly available, whenever possible, is strongly encouraged.

The number of pages indicated above includes everything except the references: title page, text, figures, appendices, etc. Papers that exceed the number of pages for that submission category will be rejected without review.

Independently of the paper category, we expect all papers to provide enough detail to enable reproducibility of their experimental results and encourage authors, whenever possible, to make both the artifacts and datasets related to the paper publicly available.

Awards
DSN awards a Distinguished Paper Award to one of the accepted scientific papers and Best Paper Awards to multiple (e.g., 3) of the accepted papers. Both the Distinguished Paper Award and Best Paper Award winning papers should be presented in a special Best Paper Session at the conference.

The selection of the candidate papers for the awards is carried out as a three-step process. First, the Program Committee picks 6-7 of the accepted papers based on the review and revision process & committee discussion. Second, the Steering Committee (in consultation with the Program Chairs) chooses among these papers the 3 Best Papers that are to be presented in the Best Paper Session at the conference (all these papers receive the Best Paper Award). Third, and finally, the audience at the conference votes among these Best Papers to select the one that should receive the Distinguished Paper Award. Attendees are strongly encouraged to read the Best Papers as well as carefully listen to their presentations, and make their Distinguished Paper Award choice based on all information they have about the finalized Best Papers and their presentations at the conference.

DSN also attributes a group of awards based on nominations. These awards are the William C. Carter Ph.D. Dissertation Award in Dependability, the Rising Star in Dependability Award, the Test-of-Time Award, and the Jean-Claude Laprie Award. Please check the relevant page on the DSN website for additional details.

For more information, please visit the DSN web site
(http://dsn.org) or contact pc_chairs@dsn.org

Program Committee Co-Chairs

Xavier Défago, Tokyo Institute of Technology, Japan
Onur Mutlu, ETH Zurich, Switzerland


Call for Papers: SYSTOR 2023
https://www.systor.org/2023/
Submitted by Oleg Kolosov

The ACM International Systems and Storage Conference (SYSTOR) is an international forum for interaction across the systems research community. The program includes innovative, peer-reviewed research papers in the broad area of systems and storage, as well as distinguished keynote lecturers, a poster session, and social events. ACM SYSTOR is designed to appeal to academic and industrial researchers and practitioners, welcoming both students and seasoned professionals.

Topics:
SYSTOR welcomes academic and industrial papers in systems and storage, broadly construed. SYSTOR encourages submissions that describe results from experimental system prototypes, as well as experience papers describing practical deployments, and valuable lessons learned from them. Topics of interest include, but are not limited to:

  • Big Data infrastructure
  • Cloud, edge, data center, and distributed systems
  • Embedded and real-time systems
  • Fault tolerance, reliability, and availability
  • File and storage systems
  • Networked, mobile, wireless, peer-to-peer, and sensor systems
  • Operating systems, computer architecture, and their interactions
  • Performance evaluation and workload characterization
  • Runtime systems and compiler/programming-language support
  • System deployment, usage, and experience
  • System design or adaptation for emerging storage technologies
  • System security and trust
  • Systems for machine learning/machine learning for systems
  • Virtualization and containers

Tracks:

  • Full Papers Track – original research, at most 10 pages, excluding references
  • Short Papers Track – original research, at most 5 pages, excluding references
  • Highlight Papers Track – papers accepted at top-tier conferences
  • Posters with Extended Abstract Track – original work presented as a poster, accompanied by an extended abstract in the conference proceedings

Important Dates:

Full and Short Papers Track
Paper Submission              Thursday, March 2, 2023
Acceptance Notification      Thursday, April 13, 2023
Camera-ready                     Monday, May 8, 202

Highlight Papers Track
Extended Abstract Submission  Monday, April 3, 2023
Acceptance Notification             Monday, May 1, 2023

Posters with Extended Abstract Track
Poster & Abstract Submission     Wednesday, March 15, 2023
Acceptance Notification               Monday, April 17, 2023
Camera-ready                             Monday, May 8, 2023 

Conference                    June 5-7, 2023 

Program Chairs:
Yossi Gilad (Hebrew University of Jerusalem, Israel)
Dejan Kostic (KTH Royal Institute of Technology, Sweden) 

Program Committee:
Abutalib Aghayev (Pennsylvania State University)
Aishwarya Ganesan (University of Illinois Urbana-Champaign)
Amit Klein (Hebrew University)
Andromachi Chatzieleftheriou (Microsoft Research)
Animesh Trivedi (VU Amsterdam)
Ashvin Goel (University of Toronto)
Avani Wildani (University of California, Santa Cruz)
Aviad Zuck (Technion-Israel Institute of Technology)
Charlie Hu (Purdue University)
Cristina Abad (Escuela Superior Politecnica del Litoral)
Huaicheng Li (Virginia Tech)
Lluís Vilanova (Imperial College London)
Marco Chiesa (KTH Royal Institute of Technology)
Ming Liu (University of Wisconsin at Madison/ VMware Research)
Orna Agmon Ben-Yehuda (Haifa University)
Patrick P. C. Lee (The Chinese University of Hong Kong)
Ramnatthan Alagappan (University of Illinois Urbana-Champaign)
Rob Johnson (VMWare Research)
Rodrigo Fonseca (Microsoft Research)
Sam H. Noh  Ulsan (National Institute of Science and Technology)
Shir Landau Feibish (Open University Israel)
Thanumalayan Sankaranarayana Pillai (Google)
Thomas Shull (Oracle Labs)
Vasily Tarasov (IBM Research – Almaden)
Waleed Reda (KTH Royal Institute of Technology)
Youjip Won (Korea Advanced Institute of Science and Technology (KAIST))
Youngjin Kwon (Korea Advanced Institute of Science and Technology (KAIST))
Youyou Lu (Tsinghua University)

General Chair:
Ofer Biran (IBM Research – Haifa, Israel)
Yosef Moatti (IBM Research – Haifa, Israel)

Poster Chair:
Dean Lorenz (IBM Research – Haifa, Israel) 

Publicity Chair:
Oleg Kolosov (Technion, Israel)

Steering Committee Head:
Dalit Naor (The Academic College of Tel Aviv-Yaffo, Israel)

Steering Committee:
Michael Factor (IBM Research – Haifa, Israel)
Ethan Miller (University of California Santa Cruz, USA)
Liuba Shrira (Brandeis University, USA)
Dan Tsafrir (Technion, Israel & VMware Research Group, USA)
Gala Yadgar (Technion, Israel)
Erez Zadok (Stony Brook University, USA)


Call for Papers: ISCA 2023: Industry Track
https://www.iscaconf.org/isca2023/submit/industry.php
Submitted by Viji Srinivasan

The 50th International Symposium of Computer Architecture includes a separate industry session in the main program following the success of the industry track inaugurated in ISCA 2020. The ISCA Industry Track was established under a different vision and motive to bringing the values, trends, and perspectives of real hardware product and system design from the industries. It also serves as a venue to encourage more participation from industries to interact with academia for forward-looking research challenges and solutions. In light of the very specific purpose of the industry track, the submission guidelines are also very specific.

  • First author, and most authors, must be from industry
  • Not for student internship projects
  • Submissions must include all author names and affiliations for review (authors may remain blinded)
  • All ISCA formatting guidelines apply (11 pages without references, 10pt font)
  • Abstract Deadline: January 6, 2023 at 11:59 PM EST
  • Full Paper Deadline: January 13, 2023 at 11:59 PM EST

Upload Abstracts and Papers to Industry Track HotCRP


Call for Papers: ISPASS 2023
https://ispass.org/ispass2023/
Submitted by Elaheh Sadredini

The IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) provides a forum for sharing advanced academic and industrial research focused on performance analysis in the design of computer systems and software. ISPASS 2023 will be held on April 23-25, 2023 in Raleigh, North Carolina. Authors are invited to submit previously unpublished work for possible presentation at the conference.

Papers are solicited in fields that include the following:

  • Performance and efficiency (power, area, etc.) evaluation methodologies
    • Analytical modeling
    • Statistical approaches
    • Tracing and profiling tools
    • Simulation techniques
    • Hardware (e.g., FPGA) accelerated simulation
    • Hardware performance counter architectures
    • Power, temperature, variability and/or reliability models for computer systems
    • Microbenchmark-based hardware analysis techniques
  • Foundations of performance and efficiency analysis
    • Metrics
    • Bottleneck identification and analysis
    • Visualization
  • Efficiency and performance analysis of commercial and experimental hardware
    • Multi-threaded, multicore and many-core architectures
    • Accelerators and graphics processing units
    • Memory systems, including storage-class memory
    • Embedded and mobile systems
    • Enterprise systems and data centers
    • HPC and Supercomputers
    • Computer networks
    • Quantum computing
    • Emerging technologies
  • Efficiency and performance analysis of emerging workloads and software
    • Software written in managed languages
    • Virtualization and consolidation workloads
    • Datacenter, internet-sector workloads
    • Embedded, multimedia, games, telepresence
    • Deep learning and convolutional neural networks
  • Application and system code tuning and optimization
  • Confirmations or refutations of important prior results

In addition to research papers, ISPASS welcomes tool and benchmark paper submissions. The conference is an ideal forum to introduce new tools and benchmarks to the community. These papers, which can detail tools and benchmarks in the above fields of interest, will be judged primarily on their potential to enable and amplify future research.

Important Dates

  • Paper abstract submission deadline: November 29, 2022, 11:59:59 PM, Eastern Time
  • Full submission deadline: December 6, 2022, 11:59:59 PM, Eastern Time
  • Rebuttal: February 7-9, 2023
  • Paper notification: February 28, 2023

More information here: https://ispass.org/ispass2023/


Call for Papers: DATE 2023
https://www.date-conference.com/call-for-papers
Submitted by Anja Zeun

Call for Papers
Design, Automation, and Test in Europe 2023
https://www.date-conference.com/call-for-papers

Submission                            Deadline
D, A, T and E papers 18 September 2022 (abstract)
25 September 2022 (full paper)
21 November 2022 (notification of acceptance)
27 January 2023 (camera-ready paper)
Late Breaking Results papers 04 December 2022 (abstract)
11 December 2022 (full paper)
20 January 2023 (notification of acceptance)
Paper presentation video 24 February 2023
Embedded Tutorials proposals 02 October 2022
Workshop proposals 02 October 2022
Focus Session proposals 02 October 2022
Multi-Partner Projects 21 November 2022
PhD Forum 21 November 2022
Careers Fair-Industry & Student Group Fair 21 November 2022
Careers Fair-Academia & University Fair 21 November 2022

 

Kindly note that all deadline days apply to anywhere on earth (AoE). Deadlines are strict and no extensions will be given.

For its 2023 edition, DATE presents itself in a renewed format: After three years of online editions due to COVID-19, DATE 2023 focusses on interaction as well as reinforcing and rebuilding links in the community. Accordingly, we employ some substantial changes to the established format intending for significant added value for in-person participation: Rather than spreading the attendance throughout an entire week, we condense DATE to three days – and make them count! Furthermore, the vast majority of regular papers will be presented in a renewed format of technical sessions focussing on live interactions (in addition to the common full-length presentations available before, during and after the conference by video). By this, we make sure that the community can actually do what conferences are for: meeting, discussing and exchanging.

In case of any questions, please contact:

DATE Conference Organisation
c/o K.I.T. Group GmbH Dresden
Bautzner Str. 117–119
01099 Dresden, Germany

Phone: +49 351 65573 137
E-mail: date@kitdresden.de
www.date-conference.com


Call for Papers: HOST 2023
http://www.hostsymposium.org/
Submitted by Hadi Mardani Kamali

IEEE International Symposium on Hardware Oriented Security and Trust (HOST) – the premier event aiming to facilitate the rapid growth of hardware security research and development – has opened the call for contributions. The 16th annual HOST will be held May 1-4, 2023 in San Jose, California. HOST 2023 invites original contributions in all areas of overlap between hardware and security, including but not limited to the following:

  • Hardware Trojans
  • TRNGs and PUFs
  • Side-Channel Attacks and Countermeasures
  • Hardware Obfuscation
  • Architecture-level Security
  • System/Board-level hardware security
  • Cryptography-PQC
  • Fault Injection Attacks and Countermeasures
HOST 2023 has two submission windows. The page limit is 10 pages (excluding references), in double column, IEEE format. There is no limit on the length of the bibliography. Only work that has not been previously published at the time of the submission will be considered. Duplicate submissions to concurrent conferences/journals are not permissible, and if encountered will be rejected and reported to IEEE. The paper selection will involve a double-blind review – the identity of authors must not be revealed, directly or indirectly, over the course of the entire process, with all references to the author(s)’ own previous work or affiliations in the bibliographic citations being in the third person. Avoid the use of “omitted for blind review” in the bibliography section and make sure that the PDF metadata does not contain author information.
Fall Submission
October 17, 2022: Submission of Paper
December 15, 2022: Notification of Acceptance
December 30, 2022: Camera-ready Version
Winter Submission
January 16, 2023: Submission of Paper
March 1, 2023: Notification of Acceptance
March 10, 2023: Camera-ready Version
HOST 2023 also accepts proposals for tutorials and demos. More information will be disseminated in future calls. For detailed submission information, please visit the HOST website: http://www.hostsymposium.org
Contact Information:
Program Chairs:
– Farimah Farahmandi (Email: ffarahmandi@ufl.edu)
– Sheng Wei (Email: sheng.wei@rutgers.edu)

Call for Papers: Serverless Systems, Applications and Methodologies (SESAME) Workshop
https://sesame23.github.io
Submitted by Boris Grot

Serverless Systems, Applications and Methodologies (SESAME) Workshop
co-located with EuroSys 2023
Rome, ItalyMay 8, 2023
https://sesame23.github.io

The 1st Workshop on SErverless Systems, Applications and MEthodologies (SESAME) aims to bring together industry and academia to discuss serverless computing and emerging cloud computing models. The goal of the workshop is to foster the discussion on the design and implementation of serverless platforms (i.e., how to deploy, optimize, and manage serverless infrastructure), and leverage their full potential (i.e., what types of applications and eco-systems of services need to exist to support serverless computing). The workshop is designed to ensure that industry and academia come together to discuss early ideas and promote cutting-edge research.

The workshop welcomes short papers (up to 6 pages) and work-in-progress submissions (2 pages).

Submissions due: February 27, 2023
Author notification: March 27, 2023

ORGANIZERS: Dmitrii Ustiugov (NTU Singapore), Rodrigo Bruno (University of Lisbon), Antonio Barbalace (University of Edinburgh) Pedro Fonseca (Purdue University), Boris Grot (University of Edinburgh)

For further details, including topics of interest and submission guidelines, visit https://sesame23.github.io.


Call for Papers: RAGE 2023 @ CPS-IoT Week
https://rage2023.github.io/
Submitted by Miguel Gutiérrez Gaitán | CISTER Research Centre

RAGE 2023
2nd Workshop on Real-time And intelliGent Edge computing
https://rage-workshop.github.io/2023/
May 9, 2023, San Antonio, Texas, USA
co-located with the CPS-IoT Week 2023
Technically co-sponsored by EMSIG and IEEE Future Networks

Important Dates

Submission deadline: February 1st, 2023 (Anywhere on Earth)
Notification to authors: March 1st, 2023
Workshop date: May 9th, 2023

Workshop Proceedings

Accepted papers will be published by the ACM Digital Library.

About

The edge computing paradigm is becoming increasingly popular as it facilitates real-time computation, reduces energy consumption and carbon footprint, and fosters security and privacy preservation by processing the data closer to its origin, thereby drastically reducing the amount of data sent to the cloud. On the application side, there is a growing interest in using edge computing as a key pillar to support decentralized artificial intelligence by implementing federated learning and adaptive deep learning inference at the edge. However, many edge applications tightly interact with the surrounding environment and are required to deliver a result (e.g., perform actuation or send a message through a 5G network) within a predefined deadline. Therefore, a key requirement in edge computing is the need to be predictable across the edge-to-cloud continuum while also efficiently utilizing the system resources.

However, meeting the above requirements is non-trivial. Modern edge devices can be very diverse, ranging from hand-held devices to large in-premise servers, and can include complex embedded platforms with multiple heterogeneous cores and hardware accelerators such as GPUs, TPUs, and FPGAs. This complexity introduces considerable challenges when trying to guarantee timing requirements of real-time applications: for example, due to scheduling policies implemented by the hardware accelerators (often not publicly disclosed by vendors) or due to the memory contention experienced by applications when accessing main memory concurrently in a multi-core setup. Secondly, network transmission time (TSN over Ethernet to 5G links) can lead to variability in the end-to-end latencies incurred by edge applications. Thirdly, a distributed infrastructure is naturally exposed to security attacks potentially able to compromise the execution of one or multiple devices or threaten their corresponding communications.

Furthermore, the operating system (OS) also plays a crucial role in enabling the edge computing paradigm, but quite often at the price of increasing the difficulty in deriving timing guarantees: for example, think of a complex deep neural network that needs to leverage a Linux-based OS (which is far more complicated than a real-time operating system), since it provides all the software stacks (e.g., TensorRT) and device drivers to interact with NVIDIA GPUs.

The complexity of the problem is further increased by the usage of middleware frameworks, which simplify the development of applications, but at the cost of introducing scheduling policies in addition to the one offered by the underlying operating system, hindering predictability. Some relevant examples are ROS, in the context of robotics, TensorFlow for artificial intelligence, TensorRT for efficient deep neural network inference on GPUs, and others. Virtualization technologies are also becoming crucial in implementing the edge paradigm, but again, at the expense of creating a more complex operating environment, where guaranteeing temporal properties is a challenging endeavor. These problems are common to many application domains, including cyber-physical systems, future-generation autonomous driving applications, robotics, Industry 4.0, smart buildings, and more.

Workshop topics include, but are not limited to:

  • Real-time edge computing
  • QoS mechanisms for temporal isolation in light-weight virtualization mechanisms (Docker, WebAssembly)
  • Mechanisms for end-to-end latency guarantees in the edge-to-cloud continuum
  • Methods for functional decomposition between the edge and cloud
  • Predictability in middleware frameworks (ROS, TensorFlow, TensorRT, and more)
  • Real-time edge computing use cases
  • Real-time network protocols for edge computing
  • Real-time distributed artificial intelligence
  • Resource scheduling and allocation in embedded real-time systems
  • Predictable and efficient parallel applications
  • Energy- and power-aware allocation in the edge-to-cloud Continuum
  • Timing predictability for artificial intelligence
  • Security and safety verification techniques for edge computing and infrastructures
  • Software/hardware/communication mechanisms, analysis, and/or tools supporting security in edge computing or in critical infrastructures.

Workshop Format

The workshop will include the following three types of contributions:

  • Submissions of workshop papers, which will be peer-reviewed by the workshop’s technical program committee. Accepted papers will be presented with an envisioned time slot of 15 minutes (including the Q&A).
  • Invited talks from expert speakers from both academia and industry, with slots of 30-45 minutes, depending on the number of talks.
  • An open discussion that will include experts both from academia and industry as well as the workshop’s audience to further support the discussion and community building in the workshop.

We plan for an 8 hours workshop.

Organizers

Technical Program Co-Chairs

Dr. Francesco Restuccia,
University of California San Diego, CA, USA

Dr. Inés Álvarez,
Mälardalen University, Västerås, Sweden

Prof. Matthias Becker,
KTH Royal Institute of Technology, Sweden

Steering Committee

Prof. Daniel Casini,
Scuola Superiore Sant’Anna, Italy

Dr. Dakshina Dasari,
Robert Bosch GmbH, Germany

Prof. Matthias Becker,
KTH Royal Institute of Technology, Sweden

Web Chair
Gabriel Serra,
Scuola Superiore Sant’Anna, Pisa, Italy

Publicity Chair
Miguel Gutiérrez Gaitán,
Andrés Bello University (UNAB), Chile
CISTER Research Centre, Porto, Portugal


Call for Papers: ASPLOS’23 Young Architect Workshop
https://web.mit.edu/yarch2023/
Submitted by Suvinay Subramanian

YArch 2023: The Fifth Young Architect Workshop
March 26, 2023 (Co-located with ASPLOS)
Website: https://web.mit.edu/yarch2023/

Submissions Due: January 27, 2023

YArch is a workshop for junior researchers with an interest in computer architecture (broadly defined) who may have early research ideas they’d like to get feedback on. The goal of YArch is to facilitate contacts between junior computer architecture researchers and more senior researchers in the field. It is also an opportunity to get feedback on early research ideas. 

Two-page double-blind submissions should describe the scope of the problem, the proposed idea/solution, the intended evaluation methodology, and related work.

Topics of interest include, but are not limited to:

  • Datacenter systems
  • Hardware acceleration
  • Memory hierarchy
  • Virtualization
  • Security
  • Microarchitecture
  • GPUs
  • Parallel architectures
  • Emerging technologies

To qualify, a researcher must have completed fewer than 3 years of graduate studies. YArch is primarily targeting early graduate students in computer science/engineering, but exceptional undergrads with research experience are also welcome to submit ideas. We intend to cover the travel and registration costs for presenters of accepted submissions.

The workshop is not a venue for publication; there will be no published proceedings. Simultaneous submissions are allowed from the perspective of YArch.

More information can be found on the workshop’s website: https://web.mit.edu/yarch2023/
For any questions, please contact us at youngarchitectw@gmail.com

Organizers

Dimitrios Skarlatos, CMU
Suvinay Subramanian, Google
Mengjia Yan, MIT

Important dates

Paper registration deadline: January 20th, 2023
Paper submission deadline: January 27th, 2023
Notification of acceptance: February 22nd, 2023
Workshop date: March 26th, 2023 (Co-located with ASPLOS)


Call for Papers: HCM 2023 (HPCA Workshop)
https://hcm-workshop.github.io
Submitted by Hyeran Jeon

The memory systems are becoming heterogeneous and composable. Increasing memory heterogeneity and composability is beneficial to increase memory capacity and improve memory utilization in a cost-effective way, and reduce total cost of ownership. The heterogenous and composable memory (HCM) provides a feasible solution to support terabyte- or petabye-scale big memory systems, meeting the performance and efficiency requirements of emerging big-data applications.

However, building and using HCM is challenging. We must answer a series of questions, such as how to interconnect memory components based on different memory technologies (e.g., using compute express link or CXL), how to organize those memory components in HCM for high performance, how to evolve (or even revolutionize) existing system software that traditionally handles homogeneous memory systems with small capacity, and how to build memory abstract and program constructs for HCM management. In general, HCM brings many unique opportunities and challenges, and we lack knowledge on how to build and use HCM.

The workshop on HCM aims to deepen our knowledge on HCM and bring together researchers in academia and industry to share early discoveries, successful examples, and opinions on opportunities and challenges regarding HCM.

Submission Guidelines

All submissions should be made electronically through the Easychair website. Submissions must be double blind, i.e., authors should remove their names, institutions or hints found in references to earlier work. When discussing past work, they need to refer to themselves in the third person, as if they were discussing another researcher’s work. Furthermore, authors must identify any conflict of interest with the PC chair or PC members. Each paper is a 2-page abstract, using IEEE conference format. The page limit includes figures, tables, and your appendices, but does not include references, for which there is no page limit. Papers should be submitted in PDF format. We kindly refer authors to the necessary template.

We encourage researchers from all institutions to submit their work for review. Preliminary results of interesting ideas and work-in-progress are welcome. A paper accepted to HCM’23 would not preclude its future publication in a major conference. Submissions that are likely to generate vigorous discussion will be favored!

Submission Timeline

Submission link : https://easychair.org/conferences/?conf=hcm23
Submission deadline : December 12, 2022
Notification : January 25, 2023

List of Topics

  • HCM architectures, such as interconnect technologies (such as CXL), memory pooling, and memory disaggregation;
  • Operating system designs to support HCM, such as memory profiling methods, page migration and allocation, and huge pages;
  • Characterization of HCM from the perspectives of performance, energy consumption, and reliability;
  • Use cases for HCM, such as deep-learning training and scientific applications;
  • Tools (such as simulators or platforms) for HCM research and engineering;
  • New programming models and program constructs to enable easy programming of HCMs;
  • HCM in virtualization environments;
  • New algorithms and performance models to manage and use HCM;
  • Runtime systems to manage HCM

Committees

Program Committee

  • Cyril Guyot, HGST
  • Youngjae Kim, Sogang University
  • Michael Lang, Los Alamos National Laboratory
  • Jason Lowe-Power, University of California Davis
  • Antonio J. Peña, Barcelona Supercomputing Center (BSC)
  • Frank Mueller,  North Carolina State University
  • Kwangsik Shin, SK Hynix
  • Jishen Zhao, University of California San Diego

Organizing committee

  • Dong Li, University of California Merced
  • Hyeran Jeon, University of California Merced
  • Jie Ren, College of William and Mary

Contact

All questions about submissions should be emailed to Jie Ren (jren03@wm.edu)


Call for Papers: 8th Workshop on Energy Efficient Machine Learning and Cognitive Computing
https://www.emc2-ai.org/aaai-23
Submitted by Sushant Kondguli

Transformers are the foundational principles of large deep learning language models. Recent successes of Transformer-based models in image classification and action prediction use cases indicate their wide applicability. In this workshop, we want to focus on the leading ideas using Transformer models such as PALM from Google. We will learn what have been their key observations on performance of the model, optimizations for inference and power consumption of both mixed-precision inference and training.

The goal of this Workshop is to provide a forum for researchers and industry experts who are exploring novel ideas, tools, and techniques to improve the energy efficiency of machine learning and deep learning as it is practiced today and would evolve in the next decade. We envision that only through close collaboration between industry and the academia we will be able to address the difficult challenges and opportunities of reducing the carbon footprint of AI and its uses. We have tailored our program to best serve the participants in a fully digital setting.  Our forum facilitates active exchange of ideas through

  • Keynotes, invited talks and discussion panels by leading researchers from industry and academia
  • Peer-reviewed papers on latest solutions including works-in-progress to seek directed feedback from experts
  • Independent publication of proceedings through IEEE CPS

We invite full-length papers describing original, cutting-edge, and even work-in-progress research projects about efficient machine learning. Suggested topics for papers include, but are not limited to:

  • Neural network architectures for resource constrained applications
  • Efficient hardware designs to implement neural networks including sparsity, locality, and systolic designs
  • Power and performance efficient memory architectures suited for neural networks
  • Network reduction techniques – approximation, quantization, reduced precision, pruning, distillation, and reconfiguration
  • Exploring interplay of precision, performance, power, and energy through benchmarks, workloads, and characterization
  • Simulation and emulation techniques, frameworks, tools, and platforms for machine learning
  • Optimizations to improve performance of training techniques including on-device and large-scale learning
  • Load balancing and efficient task distribution, communication and computation overlapping for optimal performance
  • Verification, validation, determinism, robustness, bias, safety, and privacy challenges in AI systems

The proceedings from previous instances have been published through the prestigious IEEE Conference Publishing Services (CPS) and are available to the community via IEEE Xplore. In each instance, IEEE conducted independent assessment of the papers for quality.


Call for Papers: 5th Workshop on Accelerated Machine Learning (AccML) at HiPEAC 2023
https://accml.dcs.gla.ac.uk/
Submitted by José Cano

5th Workshop on Accelerated Machine Learning (AccML)
Co-located with the HiPEAC 2023 Conference
(https://www.hipeac.net/2023/toulouse/)
January 18, 2023
Toulouse, France

The remarkable performance achieved in a variety of application areas (natural language processing, computer vision, games, etc.) has led to the emergence of heterogeneous architectures to accelerate machine learning workloads. In parallel, production deployment, model complexity and diversity pushed for higher productivity systems, more powerful programming abstractions, software and system architectures, dedicated runtime systems and numerical libraries, deployment and analysis tools. Deep learning models are generally memory and computationally intensive, for both training and inference. Accelerating these operations has obvious advantages, first by reducing the energy consumption (e.g. in data centers), and secondly, making these models usable on smaller devices at the edge of the Internet. In addition, while convolutional neural networks have motivated much of this effort, numerous applications and models involve a wider variety of operations, network architectures, and data processing. These applications and models permanently challenge computer architecture, the system stack, and programming abstractions. The high level of interest in these areas calls for a dedicated forum to discuss emerging acceleration techniques and computation paradigms for machine learning algorithms, as well as the applications of machine learning to the construction of such systems.

Links to the Workshop pages

Organizers: https://accml.dcs.gla.ac.uk/
HiPEAC: https://www.hipeac.net/2023/toulouse/#/program/sessions/8030/

Topics of interest include (but are not limited to):

– Novel ML systems: heterogeneous multi/many-core systems, GPUs, FPGAs;
– Software ML acceleration: languages, primitives, libraries, compilers and frameworks;
– Novel ML hardware accelerators and associated software;
– Emerging semiconductor technologies with applications to ML hardware acceleration;
– ML for the construction and tuning of systems;
– Cloud and edge ML computing: hardware and software to accelerate training and inference;
– Computing systems research addressing the privacy and security of ML-dominated systems.

Submission
Papers will be reviewed by the workshop’s technical program committee according to criteria regarding the submission’s quality, relevance to the workshop’s topics, and, foremost, its potential to spark discussions about directions, insights, and solutions in the context of accelerating machine learning. Research papers, case studies, and position papers are all welcome.

In particular, we encourage authors to submit work-in-progress papers: To facilitate sharing of thought-provoking ideas and high-potential though preliminary research, authors are welcome to make submissions describing early-stage, in-progress, and/or exploratory work in order to elicit feedback, discover collaboration opportunities, and spark productive discussions.

The workshop does not have formal proceedings.

Important Dates
Submission deadline: November 30, 2022
Notification of decision: December 15, 2022

Organizers
José Cano (University of Glasgow)
Valentin Radu (University of Sheffield)
José L. Abellán (Catholic University of Murcia)
Marco Cornero (DeepMind)
Dominik Grewe (DeepMind)
Ulysse Beaugnon (Google)


Call for Papers: FastPath: Workshop on Performance Analysis of Machine Learning Systems
https://fastpathconference.github.io/FastPath2022/
Submitted by Erik Altman

Call for Papers
FastPath: Workshop on Performance Analysis of Machine Learning Systems
In conjunction with MICRO 2022

FastPath 2022 brings together researchers and practitioners involved in cross-stack hardware/software performance analysis, modeling, and evaluation for efficient machine learning systems. Machine learning demands tremendous amount of computing. Current machine learning systems are diverse, including cellphones, high performance computing systems, database systems, self-driving cars, robotics, and in-home appliances. Many machine-learning systems have customized hardware and/or software. The types and components of such systems vary, but a partial list includes traditional CPUs assisted with accelerators (ASICs, FPGAs, GPUs), memory accelerators, I/O accelerators, hybrid systems, converged infrastructure, and IT appliances. Designing efficient machine learning systems poses several challenges.

These include distributed training on big data, hyper-parameter tuning for models, emerging accelerators, fast I/O for random inputs, approximate computing for training and inference, programming models for a diverse machine-learning workloads, high-bandwidth interconnect, efficient mapping of processing logic on hardware, and cross system stack performance optimization. Emerging infrastructure supporting big data analytics, cognitive computing, large-scale machine learning, mobile computing, and internet-of-things, exemplify system designs optimized for machine learning at large.

Topics

FastPath seeks to facilitate the exchange of ideas on performance analysis and evaluation of machine learning/AI systems and seeks papers on a wide range of topics including, but not limited to:

  • Workload characterization, performance modeling and profiling of machine learning applications
  • GPUs, FPGAs, ASIC accelerators
  • Memory, I/O, storage, network accelerators
  • Hardware/software co-design
  • Efficient machine learning algorithms
  • Approximate computing in machine learning
  • Power/Energy and learning acceleration
  • Software, library, and runtime for machine learning systems
  • Workload scheduling and orchestration
  • Machine learning in cloud systems
  • Large-scale machine learning systems
  • Emerging intelligent/cognitive systems
  • Converged/integrated infrastructure
  • Machine learning systems for specific domains, e.g., financial, biological, education, commerce, healthcare

Submission

Prospective authors must submit a 2-4 page extended abstract electronically on EasyChair

Authors of selected abstracts will be invited to give a 30-min presentation at the workshop.

Key Dates

  • Submission: September 9, 2022
  • Notification: September 19, 2022

Organizers

  • General Chair: Erik Altman (IBM)
  • Program Chairs: Parijat Dube (IBM), Nandita Vijaykumar (University of Toronto)
  • Web Chair: Gavin Guan (University of Toronto)

 


Call for Papers: RoboARCH (co-located with MICRO 2022)
https://sites.google.com/g.harvard.edu/roboarch2022
Submitted by Sabrina Neuman

Call for Abstracts and Participation: RoboARCH at MICRO 2022
Workshop on Robotics Acceleration with Computing Hardware (RoboARCH)
October 2, 2022 in Chicago, IL
Co-located with the IEEE/ACM International Symposium on Microarchitecture (MICRO)

Robotics is pushing the limits of conventional computing. Autonomous robots must operate untethered in dynamic and unpredictable environments, requiring many robotics software applications to run online in real-time. Conventional CPU systems are proving unable to deliver the high performance needed by essential latency-critical robotics applications. This is a call to action for researchers across academia and industry: we must leverage nontraditional computing hardware (e.g., custom accelerator ASICs, FPGAs, and GPUs) and navigate enormous design spaces spanning across algorithms, hardware, and physical robot parameters in order to design new high performance systems enabling critical tasks in robotics. This workshop aims to gather pioneers and innovators working at the intersection of robotics and computer architecture, and to provide an introduction to this exciting emerging field to the computer architecture community.

We welcome submission of 1-page abstracts on any topic related to accelerating robotics applications (e.g., computer vision, mapping, localization, motion planning, control, and end-to-end learning, for all robotics systems) using nontraditional computing hardware (e.g., ASICs, FPGAs, GPUs), as well as real-time, distributed, cloud, and edge computing systems that might be leveraged by robotics platforms. We especially encourage early work, and work-in-progress.

Accepted authors will be invited to present a 2-minute single-slide lightning talk during the main program and a poster at the poster sessions. Submissions are anonymous, so please remove author names and all identifying information from the submission. See submission instructions on the workshop website: https://sites.google.com/g.harvard.edu/roboarch2022/call-for-abstracts

Important Dates:

Abstract Submission Deadline: September 19, 2022 (extended)
Author Notification: September 23, 2022
Workshop Date: October 2, 2022


Call for Papers: DISCC 2022 (Co-located with MICRO)
https://disccworkshop.org/
Submitted by David Trilla

Recent papers from Meta (Facebook) and Google have created a major concern about data integrity in large-scale computing in cloud data centers. The term “mercurial cores” has been coined to refer to errant processor cores that have been clearly diagnosed as being the source of generating silent data errors – and recent panels (as referred to above) have brought together experts from cloud service providers and processor chip designers with the objective of raising awareness of this acute problem, and also encouraging leading-edge research to devise affordable chip and system-level mitigation solutions. In addition to such data integrity concerns, the rise of data security and privacy breaches in cloud computing environments has accelerated research and development of practical solutions that enable computing with encrypted data (e.g., advanced cryptographic methods like Fully Homomorphic Computing or FHE); e.g., recent papers.

This workshop (DISCC-2022) proposes to bring together aspects of data integrity and security in a single, unified forum. The workshop will comprise a keynote speech, several contributed papers and, time permitting, a closing panel session involving leading edge experts in data integrity and security in a hyper-scale cloud computing setting. Potential speakers are encouraged to submit an extended abstract (1-2 pages) highlighting the key contributions in the light of the above-stated technical scope of the problem. Solution approaches at the algorithm, software/firmware and/or hardware level are encouraged for early dissemination and discussion in a workshop setting.

Topics of interest include but are not limited to:

  • Testing (including detection and/or diagnosis) of silent data errors (SDEs) for plaintext and/or HE-mode ciphertext computation.
  • Detection and mitigation of malicious attacks that can lead to SDEs.
  • Privacy-preserving data-secure computation: novel software and/or hardware solutions.
  • Characterization of HE workloads for “discovery” of hardware acceleration primitives.
  • Simulation and/or emulation based modeling methods to evaluate DISCC domain software-hardware solutions.
  • Modeling of cloud-edge solutions for specific safety-, security- and/or privacy-critical applications: e.g., autonomous vehicles, internet banking, credit card fraud detection, etc.

Call for Papers: WDDSA at MICRO 2022
https://www.escalab.org/wddsa2022
Submitted by Christopher Torng

Domain-specific accelerators (DSAs) require tremendous effort to achieve a working end-to-end system. These systems are often designed independently for different domains, despite sharing common needs across applications and systems programming, compiler and architectural support, as well as rapid prototyping and analysis of design metrics. This workshop aims to bring together experts from academia and industry to share their efforts in democratizing domain-specific accelerators.

We are interested in work that attempts to broaden support for general-purpose computing on recent DSAs. However, we also welcome submissions in general on DSAs and their infrastructure. This workshop is interested in but is not limited to the following topics.

  • Novel use cases of an accelerator where applications are outside accelerators’ original application domains.
  • Systems, programming, and software for democratizing domain-specific accelerators.
  • Architectural support for democratizing domain-specific accelerators.
  • Performance/power/energy evaluation/analysis of democratizing domain-specific accelerators.
  • Implications to future “democratized” accelerator design.

Call for Papers: Special Issue on Near-Memory and In-Memory Processing, IEEE TC

Submitted by Per Stenstrom

IEEE Transactions on Computers Special Issue on Near-Memory and In-Memory Processing Link: https://www.computer.org/digital-library/journals/tc/cfp-near-in-memory-processing


Call for Papers: Special Issue on Real-Time Computing in the IoT-to-Edge-to-Cloud Continuum, ACM TECS
https://dl.acm.org/pb-assets/static_journal_pages/tecs/pdf/TECS-SI-Real-Time-Computing-1652724584890.pdf
Submitted by Daniel Casini

ACM Transactions on Embedded Computing Systems (ACM TECS)
Special Issue on Real-Time Computing in the IoT-to-Edge-to-Cloud Continuum

Link: https://dl.acm.org/pb-assets/static_journal_pages/tecs/pdf/TECS-SI-Real-Time-Computing-1652724584890.pdf

Guest Editors:

Daniel Casini, Scuola Superiore Sant’Anna, Italy, daniel.casini@santannapisa.it
Dakshina Dasari, Robert Bosch GmbH, Germany, dakshina.dasari@de.bosch.com
Matthias Becker, KTH Royal Institute of Technology, Sweden, mabecker@kth.se
Giorgio Buttazzo, Scuola Superiore Sant’Anna, Italy, giorgio.buttazzo@santannapisa.it

The edge computing paradigm is becoming increasingly popular as it facilitates real-time computation, reduces energy consumption and carbon footprint, and fosters security and privacy preservation by processing the data closer to its origin, thereby drastically reducing the amount of data sent to the cloud. However, some computations still need to occur in the cloud, thus connecting the IoT, the edge, and the cloud and originating the so-called IoT-to-Edge-to-Cloud Compute Continuum. Many edge applications tightly interact with the surrounding
environment and are required to deliver a result (e.g., perform actuation or send a message through a 5G network) within a well-defined deadline. Therefore, a key requirement in edge computing is the need to ensure predictability when communicating across the IoT-to-Edge-to-Cloud Compute Continuum while also efficiently utilizing the system resources.
However, meeting the above requirements is non-trivial. Modern edge devices can be very diverse, ranging from hand-held devices to large in-premise servers, and can include complex embedded platforms with multiple heterogeneous cores and hardware accelerators such as GPUs, TPUs, and FPGAs. Secondly, the network transmission time (TSN over Ethernet to 5G links) can lead to variability in the end-to-end latencies incurred by edge applications. Timing guarantees must also be provided for the involved middlewares, virtualization technologies, and communication protocols to ensure meeting end-to-end requirements for applications deployed across the compute continuum.
When connected to the cloud, massively distributed applications must be managed by orchestrators capable of allocating workloads on a vast realm of heterogeneous resources, each characterized by a diverse computing capacity and processing capability. Consequently, the IoT-to-Edge-to-Cloud Compute Continuum needs to be empowered with new algorithms to guarantee real-time constraints and monitoring mechanisms and provide dynamic load balancing and adaptation while accounting for the heterogeneous nature of computing platforms
and communication latencies over the network.
This special issue will solicit regular papers from an open call as well as extended versions of best-selected papers from the 1st International Workshop on Real-time And intelliGent Edge computing (RAGE) 2022, see https://rage2022.github.io/. Invited speakers of RAGE 2022 will also be invited to submit a contribution related to their talk. The standard peer-review process of ACM TECS will be followed in all cases.

Topics
All submissions must address real-time requirements in the edge computing domain to be in scope in the special issue. Topics of interest include, but are not limited to:

• Temporal isolation in light-weight virtualization mechanisms (Docker, WebAssembly) for serverless edge computing
• Real-time scheduling policies for containers in edge virtualized systems
• End-to-end latency analysis in the IoT-to-Edge-to-Cloud Compute Continuum
• Methods for timing-aware functional decomposition between the edge and cloud
• Timing guarantees for communication protocols and middlewares for edge computing (e.g., DDS, Zenoh, MQTT, ROS 2, and more)
• Timing and resource-aware orchestration for the IoT-to-Edge-to-Cloud Compute Continuum
• Real-time edge computing industrial use cases, best practices, and experience reports

Important Dates
• Submissions deadline: October 10, 2022.
• First-round review decisions: December 10, 2022.
• Deadline for revision submissions: February 4, 2023.
• Notification of final decisions: April 4, 2023.
• Tentative publication: Spring/Summer, 2023.

Submission Information
Prospective authors are invited to submit their manuscripts electronically adhering to the ACM Transactions on Embedded Computing Systems guidelines (https://tecs.acm.org/authors.cfm). Please submit your papers through the online system (https://mc.manuscriptcentral.com/tecs) and be sure to select the “Special Issue on Real-Time Computing in the IoT-to-Edge-to-Cloud Continuum” option for the paper-type. Please indicate that you are submitting to the Special Issue on Real-Time Computing in the IoT-to-Edge-to-Cloud Continuum in the author’s
cover letter. Manuscripts should not be published or currently submitted for publication elsewhere.
Extended versions of conference papers (including RAGE 2022) must include at least 30% new research-based technical content, and be less than 50% verbatim similarity as reported by a tool (such as CrossRef).
The cover letter should clearly state which are the key new contributions with respect to the previous version, and the title of the extended journal version should be different from the title of the published conference version.

For questions and further information, please contact Daniel Casini (daniel.casini@santannapisa.it).


Call for Papers: HaSS Special Issue on Multi-tenant Computing Security Challenges and Solutions
https://submission.nature.com/new-submission/41635/3
Submitted by Domenic Forte

On-demand availability of computing resources or “cloud computing” offers more scalable, reliable, and cost-effective information technology (IT) infrastructure. One of the main drivers of these benefits is multi-tenancy where multiple customers of a cloud service provider (CSP) share the same computing resources (CPUs, GPUs, and most recently FPGAs), either temporally, spatially, or both. However, it’s been shown time and again that failure to effectively isolate tenants in cloud computing system implementations can compromise availability (e.g., DoS), integrity (e.g., through RowHammer, fault injection, etc.) and confidentiality (e.g., through side- or covert-channels).

For CPUs, Meltdown and Spectre demonstrated that user/kernel isolations could be bypassed in every widely deployed ISA for decades. Even elaborate attempts to provide isolation, such as address space separation and trust execution environments (TEEs), still fail since other tenants may observe an isolated execution’s effect on shared resources through timing channels. Further, communication between isolated components of the same tenant must occur over untrusted communication mediums. Even with encryption, it is possible to ascertain secrets from the size and/or timing of messages, thus necessitating secure communication to also be made oblivious of any secret data.

Meanwhile, FPGA-acceleration in the cloud is still in its infancy. Although current FPGA deployments only support multi-tenancy though temporal multiplexing, closing the resource utilization gap will eventually require efficient spatial allocation of FPGA resources across multiple tenants. Here, the situation is even more challenging. Prior FPGA deployments only required trust in the FPGA vendor. However, in FPGA-as-a-service, additional security risks arise from untrusted tenants, third-party developers of accelerators, and CSPs. FPGA platforms are not yet equipped with a trusted computing base nor mechanisms that only allow only trusted designs on the hardware. FPGAs are also vulnerable to a growing number of remotely exploitable physical attacks such as power leakage and power drop attacks, crosstalk attacks, and thermal leakage attacks.

This HaSS special issue focuses on the security of multi-tenant computing systems. The aim is to provide a spectrum of challenges, approaches, and solutions, and provide an authoritative reference of the state-of-the-art. Its scope includes CPUs, GPUs, and FPGAs. Submissions from academia, industry, and government are encouraged.


Call for Papers: Call for Papers: IEEE Micro Top Picks 2023
https://toppicks2023.hotcrp.com
Submitted by Jae W. Lee

IEEE Micro Special Issue on Top Picks from the 2022 Computer Architecture Conferences

IEEE Micro will publish its annual “Top Picks from the Computer Architecture Conferences” issue in July/August 2023. This issue collects some of the most significant research papers in computer architecture based on novelty and potential for long-term impact. Any computer architecture paper published in the top conferences of 2022 (including MICRO-55) is eligible. Each Top Picks submission must be based on a single paper, not a combination of multiple papers. The Top Picks Selection Committee will recognize those significant and insightful papers that have the potential to influence the work of computer architects for years to come.

Important Dates

  • Submission website opens: October 3, 2022
  • Submission deadline: October 28, 2022
  • Author notification: January 16, 2023
  • Revised papers due: February 17, 2023
  • Publication: July/August 2023

Submission Guidelines

To simplify reviewing, there is a mandatory format for submissions. Authors will need to upload the following two documents:

1. A three-page (including all references), two-column document using 10-point type. The first two pages should summarize the paper. The third page should argue for the potential of the work to have long-term impact, clearly articulating why and how it will influence other researchers and/or industry.

2. The final version of the original conference paper.

Submissions that do not follow this format will not be reviewed. The first document should contain the names of the authors with a footnote that includes the title of the original conference paper, the full name of the conference, and date of publication.

Please submit here: https://toppicks2023.hotcrp.com

Accepted Paper Guidelines

Authors of accepted papers will receive further instructions on how to prepare the final papers to conform to IEEE Micro‘s guidelines. Final papers should not exceed 6,000 words including no more than 15 references and short bios of authors, with each average-size figure counting as 250 words toward this limit. Papers must have at least 30 percent new content. Final papers will be reviewed again before publication and edited for structure, style, clarity, and readability.

Guest Editors (and Selection Committee Co-Chairs)

Christopher Batten, Cornell University
Jae W. Lee, Seoul National University/Google Brain

Contact the guest editors at toppicks2023@gmail.com.


Call for Papers: IEEE MICRO Special Issue on Security and Privacy Preserving Execution Environments
https://www.computer.org/digital-library/magazine/mi/cfp-security-privacy-environments
Submitted by Guru Venkataramani

Call for Papers
IEEE MICRO Special Issue on Security and Privacy Preserving Execution Environments

Important Dates

  • Submissions Due: 8 October 2022
  • Initial Notifications: 4 December 2022
  • Final Version Due: 23 March 2023
  • Publication: May/June 2023

Security and privacy violations have increased in recent times due to the adversaries exploiting the loopholes in the processor hardware and system designs. The spate of attacks reported in the literature has reinforced a greater need in formulating robust design principles for future generation computer systems. This special issue is to advance the understanding of this critical research topic among the computer architecture, systems and security community researchers.

Contributions are solicited in topics overlapping architecture, operating system and programming models for secure/private execution, but not limited to:

  • Novel designs enhancing security and privacy in GPUs, accelerators, FPGAs
  • Novel cryptographic hardware
  • Designs that enhance security/privacy in post-Moore’s law technologies and quantum computing
  • Metrics for measuring vulnerabilities in hardware and systems
  • Compiler, hardware, and code generation methods to mitigate architecture-induced side/covert channels and other vulnerabilities

Here are the guidelines for this special issue:

  • Contributions must clearly show the overlap between computer architecture/systems and security. The threat model under consideration must be clearly described.
  • Evaluation of proposed designs must include experimental results or theoretical proofs to show how security or privacy is achieved.
  • Research contributions from prior IEEE International Symposium on Secure and Private Execution Environment Design (SEED) conference are encouraged. All previously published papers must have at least one-third new content compared to any overlapping publication(s). Concurrent submissions are not permitted.
  • Papers that do not match guidelines will be rejected without review.

Submission Guidelines

For author information and guidelines on submission criteria, please visit IEEE Micro‘s Author Information page. Please submit papers through the ScholarOne system, and be sure to select the special-issue name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts, to the ScholarOne portal.

Questions?

Please contact the guest editors at micro3-23@computer.org.

Guest Editor 

Guru Prasadh Venkataramani


Call for Workshops/Tutorials: ASPLOS 2023 Call for Workshops and Tutorials
https://asplos-conference.org/calls-workshop/
Submitted by Onur Mutlu

ASPLOS 2023 Call for Workshops and Tutorials

We solicit workshop and tutorial proposals for ASPLOS 2023 in Vancouver, Canada. Workshops and tutorials will be held on Saturday, March 25th 2023, and Sunday, March 26th 2023.

Workshops: We encourage proposals in the interplay between programming languages, computer architecture, operating systems, and user interfaces to deal with challenges such as power, performance, resilience, and programmer productivity in emerging areas (e.g., datacenter/cloud computing, systems based on non-volatile memory technologies, large-scale data analysis, smart infrastructure, and extreme-scale computing).

Tutorials: We solicit proposals for both half- and full-day tutorials on any topic that is relevant to the ASPLOS audience. In previous years, tutorials seeking to achieve either of the following goals have been particularly successful:

– Describe an important piece of research infrastructure.
– Educate the community on an emerging topic.

Important Dates
Workshop Submission Deadline: December 15th 2022
Tutorial Submission Deadline: December 15th 2022

Notification
We will evaluate proposals as they come in and give notification as soon as possible.
Latest Workshop Notification: January 1st 2023
Latest Tutorial Notification: January 1st 2023

Feel free to reach out to Meni Orenbach at morenbach@nvidia.com and Mark Silberstein at mark@ee.technion.ac.il with any questions.


Call for Workshops/Tutorials: HPCA 2023 Call for Workshop and Tutorial
https://hpca-conf.org/2023/workshop-tutorial-cfp/
Submitted by Wenjie Xiong

The International Symposium on High-Performance Computer Architecture (HPCA) seeks proposals for workshops and tutorials. Workshops and tutorials will be held on Saturday and Sunday before the main conference, on the 25th and 26th of February 2023. Barring extraordinary circumstances, HPCA will be held in person in Montreal, Canada.

Proposal Format

Proposals should be one to two pages, and must include the following information:

Workshop Proposals:

  • The title of the workshop/tutorial,
  • The organizers, their affiliations, and short bios,
  • The expected duration of the workshop/tutorial (i.e., half day or full day),
  • A sample call for papers, including the main workshop topics, and
  • If the workshop was held previously, the location (which conference), date, number of published papers, and number of attendees.

Tutorial Proposals:

  • The title of the workshop/tutorial,
  • The organizers, their affiliations, and short bios,
  • The expected duration of the workshop/tutorial (i.e., half day or full day),
  • An abstract,
  • A tentative outline of the tutorial program / topics covered, and
  • If the tutorial was held previously, the location (which conference), date, and the attendance count.

Call for Posters: ACM Student Research Competition @ PACT 2022
https://pact22.cs.illinois.edu/src.html
Submitted by Saugata Ghose

PACT 2022 invites students to participate in the ACM Student Research Competition (SRC). The SRC is a forum for graduate and undergraduate students to share their research results, exchange ideas, and improve their communication skills while competing for prizes. The SRC consists of three rounds: (1) an online abstract submission, (2) a poster session at PACT 2022 for accepted abstracts, and (3) a presentation at PACT 2022 by poster session finalists.

All authors of accepted abstracts will receive free conference registration to PACT (October 10-12, 2022, in Chicago), to help offset costs of attendance. Students must attend PACT 2022 in person to take part in the poster session and finalist presentation.

Student winners receive prizes of $500, $300, and $200 for first/second/third place, respectively, in each of the undergraduate and graduate divisions, along with a framed certificate.

800-word poster abstracts are due September 1, 2022 (AoE), and authors are expected to be notified on September 15.

For more details, please see the ACM SRC @ PACT 2022 website at https://pact22.cs.illinois.edu/src.html


Episode 10 of Computer Architecture Podcast Released! Featuring guest Prof. Brandon Lucia
https://comparchpodcast.podbean.com/
Submitted by Suvinay Subramanian

Computer Architecture Podcast: a series of conversations on cutting-edge work in computer architecture and the remarkable people behind it.

Announcing the release of Episode 10: Physically-constrained Computing Systems with Dr. Brandon Lucia who is a professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University. Prof. Lucia has made significant contributions to enabling capable and reliable intermittent computing systems, developing techniques that span the hardware-software stack from novel microarchitectures, to programming models and tools. He is a recipient of the IEEE TCCA Young Computer Architect Award, the Sloan Research Fellowship, and several best paper awards.

Listen to the episode at https://comparchpodcast.podbean.com/. Also available on your favorite podcast player — iTunes, Spotify, Stitcher, etc.


Tool Release: Argus – An End-to-End Framework for Accelerating CNNs on FPGAs
https://argus-webgen.compas.cs.stonybrook.edu/
Submitted by Michael Ferdman

https://argus-webgen.compas.cs.stonybrook.edu/

We are pleased to announce the release of the Argus online Verilog Code Generator tool. Argus is an end-to-end framework for accelerating CNNs on FPGAs. The core of Argus is an accelerator generator that translates high-level CNN descriptions into efficient multi-core accelerator designs. Argus explores an extensive design space, jointly optimizing all design aspects for the target FPGA and generating multi-core accelerator designs that achieve near-perfect dynamic arithmetic unit utilization.

Our online code generator allows anyone to use Argus to produce network-optimized and FPGA-optimized CNN accelerators in Verilog. To minimize user effort, Argus includes a model parser for importing CNN models from popular machine learning frameworks and a software stack for running an FPGA-backed CNN inference microservice.  The tool can be accessed online at https://argus-webgen.compas.cs.stonybrook.edu/

The Argus tool was built by researchers in the COMPAS Lab at Stony Brook University’s departments of Computer Science and Electrical and Computer Engineering. Argus is part of a larger research effort studying efficient hardware acceleration of machine learning.


Episode 9 of Computer Architecture Podcast Released! Featuring guest Prof. Yungang Bao
https://comparchpodcast.podbean.com/
Submitted by Suvinay Subramanian

Computer Architecture Podcast: a series of conversations on cutting-edge work in computer architecture and the remarkable people behind it.

Announcing the release of Episode 9: Hyperscale Cloud and Agile Hardware Design in China with Dr. Yungang Bao who is a professor at the Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS) and the deputy director of ICT-CAS. Prof. Bao founded the China RISC-V Alliance (CRVA) and serves as the secretary-general of CRVA. His research interests include open-source hardware and agile chip design, datacenter architecture and memory systems. Prof. Bao’s contributions include developing the PARSEC 3.0 benchmark suite which has been adopted by leading industry players in China (like Alibaba and Huawei), the labeled von Neumann paradigm to enable a software-defined cloud, Hybrid Memory Trace Tool (HMTT), and Partition-Based DMA Cache. He was awarded the CCF-Intel Young Faculty Award, was the winner of CCF-IEEE CS Young Computer Scientist Award, and received China’s National Honor for Youth under 40.

Listen to the episode at https://comparchpodcast.podbean.com/. Also available on your favorite podcast player — iTunes, Spotify, Stitcher, etc.


Please view the SIGARCH website for the latest postings, to submit new posts, and for general SIGARCH information. We also encourage you to visit the Computer Architecture Today Blog.

- Akanksha Jain
SIGARCH Content Editor

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