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

Morris, Karla NMN knmorri at sandia.gov
Thu Jun 7 10:09:07 CDT 2018

              Call for Papers

        Parallel Applications Workshop,
            Alternatives To MPI

   Held in conjunction with SC 18, Dallas, TX
    In cooperation with: IEEE and TCHPC



As high-performance computing hardware incorporates increasing levels of
heterogeneity, hierarchical organization, and complexity, parallel programming
techniques necessarily grow in complexity or in their ability to abstract
away complexity.  The concurrent development of multi- and many-core processors,
deep memory hierarchies, and accelerators and the variety of ways to combine these
makes the low-level language route unmanageable for domain experts tasked with
developing applications. The technologies that a competent developer might be
expected to master and combine include MPI plus CUDA, OpenMP, and OpenACC, most
commonly denoted MPI + X. This approach inherently saddles the developer with
low-level details that might better be handled by high-level abstractions.

Higher-level parallel programming models offer rich sets of abstractions that
feel natural in the intended applications.  Such languages and tools include
(Fortran, UPC, Julia), systems for large-scale data processing and analytics
(Spark, Tensorflow, Dask), and frameworks and libraries that extend existing
languages (Charm++, Unified Parallel C++ (UPC++), Coarray C++, HPX, Legion,
Global Arrays).  While there are tremendous differences between these
approaches, all strive to support better programmer abstractions for concerns
such as data parallelism, task parallelism, dynamic load balancing, and data
placement across the memory hierarchy.

This workshop will bring together applications experts who will present concrete
practical examples of using such alternatives to MPI in order to illustrate the
benefits of high-level approaches to scalable programming.  The workshop expands
upon the two similar workshops, PAW16 and PAW17, by broadening the theme beyond
partitioned global address space languages. We invite you to take part in the
Parallel Applications Workshop, Alternatives To MPI, and to join this vibrant
and diverse community of researchers and developers.

Scope and Aims

The scope of the PAW-ATM workshop is to provide a forum for exhibiting
case studies of higher-level programming models as MPI alternatives in
the context of applications as a means of better understanding applications
of MPI alternatives.  We encourage the submission of papers and talks
detailing such applications, including characterizations of scalability
and performance, of expressiveness and programmability, as well as any
downsides or areas for improvement in existing higher-level programming models.
In addition to informing other application programmers about the
potential that is available through MPI alternatives, the workshop is
designed to communicate these experiences to compiler vendors,
library developers, and system architects in order to achieve broader
support for high-level approaches to scalable programming.

We also specifically encourage submissions covering big data
analytics, deep learning, and other novel and emerging  application
areas, beyond well-established HPC domains.

Topics include, but are not limited to:

* Novel application development using parallel programming languages.

* Examples that demonstrate performance, compiler
  optimization, error checking, and reduced software complexity.

* Applications from big data analytics, bioinformatics, and other
  novel areas.

* Performance evaluation of applications developed using MPI alternatives.

* Algorithmic models enabled by high-level parallel abstractions.

* Experience with the use of new compiler and runtime environments.

* Libraries using or supporting MPI alternatives.

* Benefits of hardware abstraction and data
  locality on algorithm implementation.


Submissions are solicited in two categories:

Full-length papers presenting novel research results:

  * Full-length papers will be published in the workshop
    proceedings in cooperation with IEEE TCHPC. Submitted papers
    must be original work that has not appeared in and is not under
    consideration for another conference or a journal. Papers shall
    not exceed ten (10) pages including text, appendices,
    and figures. Appendix pages related to the reproducibility
    initiative not included.

Extended abstracts summarizing published/preliminary results:

  * Extended abstracts will be evaluated separately and will
    not be included in the published proceedings; they are intended
    for timely communications of novel work that is going to be
    formally submitted elsewhere at a later stage, and/or of already
    published work that is nonetheless deemed appropriate for
    dissemination in this venue.
    Extended abstracts shall not exceed four (4) pages.

Preferential treatment will be given to full-length paper submissions.
Accepted full-length papers will be given longer presentation
slots at the workshop than the abstract-only option.

Submissions shall be submitted through Linklings
( https://submissions.supercomputing.org ).
Submissions must use 10pt fonts in the IEEE format
( https://www.ieee.org/conferences/publishing/templates.html ).
The page limit (8 pages minimum for publication) includes figures,
tables, and your appendices, but does not include references,
for which there is no page limit. Reproducibility initiative dependencies
(Artifact Description or Computational Results Analysis)
are also not included in the page limit.

PAW-ATM follows the reproducibility initiative of SC18, please refer to
http://sourceryinstitute.github.io/PAW/ for additional information.


* Karla Morris - Sandia National Laboratory


* Bradford L. Chamberlain - Cray Inc.

* Salvatore Filippone - Cranfield University

* Costin Iancu - Lawrence Berkeley National Laboratory


* Bill Long - Cray Inc.


* Bradford L. Chamberlain - Cray Inc.

* Valentin Churavy - Massachusetts Institute of Technology

* Salvatore Filippone - Cranfield University, UK

* Alex Gittens - Rensselaer Polytechnic Institute

* Costin Iancu - Lawrence Berkeley National Laboratory

* Hartmut Kaiser - Louisiana State University

* Laxmikant Kale - University of Illinois

* Seung-Hwan Lim - Oak Ridge National Laboratory

* Bill Long - Cray Inc.

* Karla Morris - Sandia National Laboratories

* Mitsuhisa Sato - RIKEN Advanced Institute for Computational Science

* Sean Treichler - NVIDIA

* Jeremiah J. Wilke - Sandia National Laboratories


* Damian W. I. Rouson - Sourcery Institute

* Katherine A. Yelick - Lawrence Berkeley National Laboratory


* Submission Deadline: July 31, 2018

* Author Notification: September 1, 2018

* Camera Ready:        October 1, 2018

* Workshop Date:       November 11--16, 2018

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