[hpc-announce] CFP workshop PAW-ATM (together with SC20)

Mon May 4 05:46:58 CDT 2020

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                 Call for Papers

                  PAW-ATM 2020:

         Parallel Applications Workshop,
             Alternatives To MPI+X

           Monday, November 16th, 2020

    Held in conjunction with SC20, Atlanta, GA

    <http://sourceryinstitute.github.io/PAW/>

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Summary

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

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:
   https://submissions.supercomputing.org

Submissions must use 10pt font in the IEEE format:
   https://www.ieee.org/conferences/publishing/templates.html

PAW-ATM follows the reproducibility initiative of SC20.  For more
information, please refer to:
https://sc20.supercomputing.org/submit/transparency-reproducibility-initiative/
   http://sourceryinstitute.github.io/PAW/

WORKSHOP CHAIR

* Karla Morris - Sandia National Laboratory

ORGANIZING COMMITTEE

* Rosa M. Badia - Barcelona Supercomputing Center

* Bradford L. Chamberlain - HPE

PROGRAM COMMITTEE CHAIRS

* Bill Long - HPE

* Sean Treichler - NVIDIA

PROGRAM COMMITTEE

* Scott Baden - University of California San Diego

* Rosa M. Badia - Barcelona Supercomputing Center

* Bradford L. Chamberlain - HPE

* Kyle Chard - University of Chicago

* Valentin Churavy - Massachusetts Institute of Technology

* Magne Haveraaen - University of Bergen

* Engin Kayraklioglu - HPE

* Elisabeth Larsson - Uppsala University

* Bill Long - HPE

* Xavier Martorell - Barcelona Supercomputing Center

* Patrick McCormick - Los Alamos National Laboratory

* Esteban Meneses Rojas - National High Technology Center

* Karla Morris - Sandia National Laboratories

* Francesco Rizzi - NextGen Analytics

* Mitsuhisa Sato - RIKEN Advanced Institute for Computational Science

* Gabriel Tanase - Amazon Web Services (AWS)

* Kenjiro Taura - University of Tokyo

* Sean Treichler - NVIDIA

ADVISORY COMMITTEE

* Salvatore Filippone - Cranfield University

* Damian W. I. Rouson - Sourcery Institute

* Katherine A. Yelick - Lawrence Berkeley National Laboratory

IMPORTANT DATES:

* Submission Deadline: July 24, 2020

* Author Notification: September 23, 2020

* Camera Ready:        October 1, 2020

* Workshop Date:       November 16, 2020

-- 
Rosa M Badia
Barcelona Supercomputing Center
+34 93 413 4075

http://bsc.es/disclaimer