July 24, 2020
July 24, 2020
PAW-ATM 2020: Parallel Applications Workshop, Alternatives To MPI+X
November 16, 2020
Held in conjunction with SC20
Atlanta, GA, USA
Submissions Due: July 24, 2020
Architectural hierarchy and heterogeneity makes programming supercomputers challenging. In practice, HPC applications tend to be written using a mix of programming models—like C++, MPI, CUDA, and/or OpenMP—each of which is becoming more complex over time. This negatively impacts the costs of developing, maintaining, and porting HPC applications.
Meanwhile, alternative HPC programming models strive to improve things by raising the level of abstraction; incorporating modern features; and/or leveraging the respective strengths of programmers, compilers, and runtimes. These alternatives take the form of new languages (e.g., Chapel, Regent, XcalableMP), frameworks for large-scale data science (e.g., Arkouda, Dask, Spark), or extensions to existing languages (e.g., Charm++, COMPSs, Fortran, Legion, UPC++).
PAW-ATM is a forum for discussing HPC applications written in alternatives to MPI+X. Its goal is to bring together application experts and proponents of high-level languages to present concrete example uses of such alternatives, describing their benefits and challenges.
Scope and Aims
The PAW-ATM workshop aims to serve as a forum for exhibiting parallel applications developed using high-level parallel programming models that serve as alternatives to MPI+X-based programming. We encourage the submission of papers and talks from the community detailing practical distributed-memory applications written using alternatives to MPI+X, including characterizations of scalability and performance, expressiveness and programmability, as well as any downsides or areas for improvement in such models. In doing so, our hope is to create a setting in which application authors, language designers, and architects can present and discuss the state of the art in alternative scalable programming models while also wrestling with how to increase their effectiveness and adoption. Beyond well-established HPC scientific simulations, we also encourage submissions exploring artificial intelligence, big data analytics, machine learning, and other emerging application areas.
Topics of interest include, but are not limited to:
* Novel application development using high-level parallel programming languages and frameworks.
* Examples that demonstrate performance, compiler optimization, error checking, and reduced software complexity.
* Applications from artificial intelligence, data analytics, bioinformatics, and other novel areas.
* Performance evaluation of applications developed using alternatives to MPI+X and comparisons to standard programming models.
* Novel algorithms enabled by high-level parallel abstractions.
* Experience with the use of new compilers and runtime environments.
* Libraries using or supporting alternatives to MPI+X.
* Benefits of hardware abstraction and data locality on algorithm implementation.
Submissions are solicited in two categories:
1) Full-length papers presenting novel research results:
* Full-length papers will be published in the workshop proceedings (+). Submitted papers must describe original work that has not appeared in, nor is under consideration for, another conference or journal. Papers shall be eight (8) pages minimum and not exceed ten (10) including text, appendices, and figures. Appendix pages related to the reproducibility initiative dependencies, namely the Artifact Description (AD) and Artifact Evaluation (AE), are not included in the page count.
+ The specific publisher of the proceedings is TBA pending acceptance of our proposal.
2) Extended abstracts summarizing preliminary/published results:
* Extended abstracts will be evaluated separately and will not be included in the published proceedings; they are intended to propose timely communications of novel work that will be formally submitted elsewhere at a later stage, and/or of already published work that would be of interest to the PAW-ATM audience in terms of topic and timeliness. Extended abstracts shall not exceed four (4) pages.
When deciding between submissions with similar merit, submissions whose focus relates more directly to the key themes of the workshop (application studies, computing at scale, high-level alternatives to MPI+X) will be given priority over those that don’t. In addition, full-length paper submissions will be given preference over extended abstracts.
Submissions shall be submitted through Linklings:
Submissions must use 10pt font in the IEEE format:
PAW-ATM follows the reproducibility initiative of SC20. For more information, please refer to:
* Karla Morris – Sandia National Laboratory
* Rosa M. Badia – Barcelona Supercomputing Center
* Bradford L. Chamberlain – HPE
PROGRAM COMMITTEE CHAIRS
* Bill Long – HPE
* Sean Treichler – NVIDIA
* Submission Deadline: July 24, 2020
* Author Notification: September 23, 2020
* Camera Ready: October 1, 2020
* Workshop Date: November 16, 2020