PAW-ATM: Parallel Applications Workshop, Alternatives To MPI+X

Hi Chapel Users -

If you are programming with Chapel, consider submitting a paper or talk to PAW-ATM 2021. PAW-ATM is a workshop at SC that focuses on applications work being done in alternatives to MPI+X programming like Chapel.

The workshop will be held at SC21 on November 14, 15, or 19th. Submissions are due on July 23. We are expecting the workshop to be an in-person event in St. Louis, MO.

For more information about PAW-ATM and the submission process, see the workshop website

or the more detailed Call for Papers included below.

            Call for Papers
             PAW-ATM 2021:

    Parallel Applications Workshop,
        Alternatives To MPI+X

Held in conjunction with SC21, St. Louis, MO


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

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


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.
  1. 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:
IEEE - Manuscript Templates for Conference Proceedings

PAW-ATM follows the reproducibility initiative of SC21. For more
information, please refer to:
Reproducibility Initiative • SC21


  • Karla Morris - Sandia National Laboratories


  • Rosa M. Badia - Barcelona Supercomputing Center
  • Michael Ferguson - Hewlett Packard Enterprise


  • Bill Long - Hewlett Packard Enterprise
  • Sean Treichler - NVIDIA


  • 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 - NVIDIA
  • 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


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


  • 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