[CfP] Parallel Application Workshop, Alternatives to MPI+X -- Supercomputing 2019

            Call for Papers

             PAW-ATM 2019:

    Parallel Applications Workshop,
        Alternatives To MPI+X

Held in conjunction with SC 19, Denver, CO



Supercomputers are becoming increasingly complex due to the prevalence
of hierarchy and heterogeneity in emerging node and system
architectures. As a result of these trends, users of conventional
programming models for scalable high-performance applications
increasingly find themselves writing applications using a mix of
distinct programming models—such as Fortran90, C, C++, MPI, OpenMP,
and CUDA—which are also often becoming more complex and
detail-oriented themselves. These trends negatively impact the costs
of developing, porting, and maintaining HPC applications.

Meanwhile, new programming models and languages are being developed
that strive to improve upon the status quo. This is accomplished by
unifying the expression of parallelism and locality across the system,
raising the level of abstraction, making use of modern language design
features, and/or leveraging the respective strengths of programmers,
compilers, runtimes, and operating systems. These alternatives may
take the form of parallel programming languages (e.g., Chapel, Fortran
2018, Julia, UPC), frameworks for large-scale data processing and
analytics (e.g., Spark, Tensorflow, Dask), or libraries and embedded
DSLs that extend existing languages (e.g., Legion, COMPSs, SHMEM, HPX,
Charm++, UPC++, Coarray C++, Global Arrays).

The PAW-ATM workshop is designed to explore the expression of
applications in scalable parallel programming models that serve as an
alternative to the status quo. It is designed to bring together
applications experts and proponents of high-level programming models
to present concrete and practical examples of using such alternative
models and to illustrate the benefits of high-level approaches to
scalable programming.

Scope and Aims

The PAW-ATM workshop is designed as a forum for exhibiting studies of
parallel applications developed using high-level parallel programming
models serving as alternatives to MPI+X-based programming. We
encourage the submission of papers and talks that describe practical
distributed-memory applications written using alternatives to MPI+X,
and include characterizations of scalability and performance,
expressiveness and programmability, as well as any downsides or areas
for improvement in such models. Our hope is to create a forum in which
architects, language designers, and users can present, learn about,
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 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 compiler and runtime environments.

  • Libraries using or supporting alternatives to MPI+X.

  • Benefits of hardware abstraction and data locality on algorithm


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.
  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, ties will be
broken by giving weight to full-length paper submissions over extended
abstracts. In addition, 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.

Submissions shall be submitted through Linklings:

Submissions must use 10pt font in the IEEE format:

PAW-ATM follows the reproducibility initiative of SC19. For more
information, please refer to:


  • Karla Morris - Sandia National Laboratory


  • Rosa M. Badia - Barcelona Supercomputing Center

  • Bradford L. Chamberlain - Cray Inc.

  • Sean Treichler - NVIDIA


  • Bill Long - Cray Inc.

  • Francesco Rizzi - NexGen Analytics


  • Olivier Aumage - Inria

  • Rosa M. Badia - Barcelona Supercomputing Center

  • Vicenç Beltran - Barcelona Supercomputing Center

  • John Biddiscombe - CSCS Swiss National Supercomputing Centre

  • Bradford L. Chamberlain - Cray Inc.

  • Salvatore Filippone - Cranfield University

  • Marta G. Gasulla - Barcelona Supercomputing Center

  • Magne Haveraaen - University of Bergen

  • Costin Iancu - Lawrence Berkeley National Laboratory

  • Laxmikant Kale - University of Illinois

  • Karla Morris - Sandia National Laboratories

  • Bill Long - Cray Inc.

  • Swaroop S. Pophale - Oak Ridge National Laboratory

  • Jason Riedy - Georgia Institute of Technology

  • Francesco Rizzi - NexGen Analytics

  • Mitsuhisa Sato - RIKEN Advanced Institute for Computational Science

  • Elliott Slaughter - SLAC National Accelerator Laboratory

  • Sean Treichler - NVIDIA


  • Salvatore Filippone - Cranfield University

  • Damian W. I. Rouson - Sourcery Institute

  • Katherine A. Yelick - Lawrence Berkeley National Laboratory


  • Submission Deadline: July 31, 2019

  • Author Notification: September 1, 2019

  • Camera Ready: October 1, 2019

  • Workshop Date: November 17|18|22, 2019


Reminder! Deadline for this is July 31th.