[hpc-announce] (CALL FOR PAPERS) PAW-ATM: Parallel Applications Workshop, Alternatives To MPI+X

Rosa M. Badia rosa.m.badia at bsc.es
Wed Apr 28 11:21:08 CDT 2021


     ************************************************

                     Call for Papers

                      PAW-ATM 2021:

             Parallel Applications Workshop,
                 Alternatives To MPI+X

        Held in conjunction with SC21, St. Louis, MO

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

     ************************************************


     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.

     Papers that include description of applications that demonstrate 
the use of
     alternative programming models will be given higher priority.

     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 to the proceedings publisher.

     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 SC21.  For more
     information, please refer to:
https://sc21.supercomputing.org/submit/reproducibility-initiative/
       http://sourceryinstitute.github.io/PAW/


     WORKSHOP CHAIR
     * Karla Morris - Sandia National Laboratories

     ORGANIZING COMMITTEE
     * Rosa M. Badia - Barcelona Supercomputing Center
     * Michael Ferguson - Hewlett Packard Enterprise

     PROGRAM COMMITTEE CHAIRS
     * Bill Long - Hewlett Packard Enterprise
     * Sean Treichler - NVIDIA

     PROGRAM COMMITTEE
     * Vicenç Bertran - Barcelona Supercomputing Center
     * Dan Bonachea - Lawrence Berkeley National Laboratory
     * Peter Braam - University of Oxford
     * Harold Castro - Los Andes University (Colombia)
     * Bradford L. Chamberlain - Hewlett Packard Enterprise
     * John Feo - Pacific Northwest National Laboratory
     * Michael Ferguson - Hewlett Packard Enterprise
     * Salvatore Filippone - University of Rome Tor Vergata
     * Fernanda Foertter - The BioTeam, Inc.
     * Max Grossman - Georgia Institute of Technology
     * Hideto Iwashita - HPFPC
     * Daniel S. Katz - University of Illinois, Urbana-Champaign
     * Wonchan Lee - Stanford University
     * Daniele Lezzi - Barcelona Supercomputing Center
     * Bill Long - Hewlett Packard Enterprise
     * Karla Morris - Sandia National Laboratories
     * Irene Moulitsas - Cranfield University
     * Mitsuhisa Sato - RIKEN Advanced Institute for Computational Science
     * Sean Treichler - NVIDIA

     ADVISORY COMMITTEE
     * Bradford L. Chamberlain - Hewlett Packard Enterprise
     * Damian W. I. Rouson - Sourcery Institute
     * Katherine A. Yelick - Lawrence Berkeley National Laboratory


     IMPORTANT DATES
     * Submissions deadline: July 23, 2021
     * Manuscripts review period: August 6-20, 2021
     * Rebuttal submission: September 3, 2021
     * Building consensus: September 4-10, 2021
     * Notification to authors: September 13, 2021
     * Final program: September 15, 2021
     * Camera-ready papers due from authors: October 1, 2021
     * Workshop date: November 14|15|19, 2021



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


http://bsc.es/disclaimer


More information about the hpc-announce mailing list