Call for Papers: LCTES 2017

ACM SIGPLAN/SIGBED Conference on Languages, Compilers and Tools for Embedded systems (LCTES)
in conjunction with PLDI 2017
http://conf.researchr.org/track/LCTES-2017/LCTES-2017-papers
Barcelona, Spain
June 21-22, 2017

IMPORTANT DATES:
Paper submission: February 14, 2017
Author notification: March 31, 2017
Final version: April 15, 2017

LCTES provides a link between the programming languages and embedded systems engineering communities. Researchers and developers in these areas are addressing many similar problems, but with different backgrounds and approaches. LCTES is intended to expose researchers and developers from either area to relevant work and interesting problems in the other area and provide a forum where they can interact. To that end, LCTES ’17 solicits papers presenting original work on programming languages, compilers, tools, theory, and architectures that help in overcoming these challenges. Research papers on innovative techniques are welcome, as well as experience papers on insights obtained by experimenting with real-world systems and applications.

Papers are solicited on, but not limited to, the following topics in embedded systems:
– Programming language challenges, including:
      Domain-specific languages
      Features to exploit multicore, reconfigurable, and other emerging architectures
      Virtual machines, concurrency, inter-processor synchronization, and memory management
– Compiler challenges, including:
      Interaction between embedded architectures, operating systems, and compilers
      Support for enhanced programmer productivity, debugging and profiling
      Optimization for low power/energy, code and data size, and best-effort and real-time performance
– Tools for analysis, specification, design, and implementation, including:
      Hardware, system software, application software, and their interfaces
      Performance estimation, monitoring, and tuning
      Design space exploration tools
– Theory and foundations of embedded systems, including:
      Predictability of resource behaviour: energy, space, time
      Validation and verification, in particular of concurrent and distributed systems
– Novel embedded architectures, including:
      Design and implementation of novel architectures
      Workload analysis and performance evaluation
      Architecture support for new language features, virtualization, compiler techniques, debugging tools
      Architectural features to improve power/energy, code/data size, and predictability
– Mobile systems and IoT, including:
      Operating systems, compilers, and software tools for mobile and IoT devices
      Compiler and software tools for mobile and IoT systems
      Memory and IO techniques for mobile and IoT devices
– Empirical studies and their reproduction, and confirmation

SUBMISSION GUIDELINES:
Submissions must be in ACM proceedings format, 9-point type, and may not exceed 10 pages (all inclusive). Word and LaTeX templates for this format are available on the ACM website (http://www.sigplan.org/Resources/Author/). Submissions must be in PDF, printable on US Letter and A4 sized paper. To enable double-blind reviewing, submissions must adhere to two rules:
– author names and their affiliations should be omitted; and,
– references to related work by the authors should be in the third person (e.g., not “We build on our previous work …” but rather “We build on the work of …”).

However, nothing should be done in the name of anonymity that weakens the submission or makes the job of reviewing the paper more difficult (e.g., important background references should not be omitted or anonymized). Papers must describe unpublished work that is not currently submitted for publication elsewhere as discussed here. Authors of accepted papers will be required to sign an ACM copyright release.

Submission site: https://lctes17.hotcrp.com

All accepted papers will appear in the published proceedings. We expect to make a best paper award.

ORGANIZERS:
General Chair: Vijay Nagarajan, University of Edinburgh
Program Chair: Zili Shao, The Hong Kong Polytechnic University