[hpc-announce] [CFP Extended Deadline July 31]: PAW-ATM: Parallel Applications Workshop, Alternatives To MPI+X (with SC23)

Dan Bonachea dobonachea at lbl.gov
Wed Jul 19 17:05:53 CDT 2023

Call for Papers PAW-ATM 2023:
Parallel Applications Workshop,
Alternatives To MPI+X

Held in conjunction with SC23, Denver, CO

Submissions deadline: July 31, 2023 (extended!)
Notification to authors: August 31, 2023
Workshop date: November 13, 2023



As supercomputers become more and more powerful, the number and
diversity of applications that can be tackled with these machines
grows. Unfortunately, the architectural complexity of these
supercomputers grows as well, with heterogeneous processors, multiple
levels of memory hierarchy, and many ways to move data and synchronize
between processors. The MPI+X programming model, use of which is
considered by many to be standard practice, demands that a programmer
be expert in both the application domain and the low-level details of
the architecture(s) on which that application will be deployed, and
the availability of such superhuman programmers is a critical
bottleneck. Things become more complicated when evolution and change
in the underlying architecture translates into significant
re-engineering of the MPI+X code to maintain performance.

Numerous alternatives to the MPI+X model exist, and by raising the
level of abstraction on the application domain and/or the target
architecture, they offer the ability for "mere mortal" programmers to
take advantage of the supercomputing resources that are available to
advance science and tackle urgent real-world problems. However,
compared to the MPI+X approach, these alternatives generally lack two
things. First, they aren't as well known as MPI+X and a domain
scientist may simply not be aware of models that are a good fit to
their domain. Second, they are less mature than MPI+X and likely have
more functionality or performance "potholes" that need only be
identified to be addressed.

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


The PAW-ATM workshop is designed to be a forum for discussion of
supercomputing-scale parallel applications and their implementation in
programming models outside of the dominant MPI+X paradigm. Papers and
talks will explore the benefits (or perhaps drawbacks) of implementing
specific applications with alternatives to MPI+X, whether those
benefits are in performance, scalability, productivity, or some other
metric important to that application domain. Presenters are encouraged
to generalize the experience with their application to other domains
in science and engineering and to bring up specific areas of
improvement for the model(s) used in the implementation.

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 2 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) pages
including text, appendices, and figures, but excluding bibliography
and acknowledgments. Submissions shall not exceed twelve (12) pages
total under any circumstance.

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.

See https://sourceryinstitute.github.io/PAW/ for further details.

* Karla Morris - Sandia National Laboratories

*  Engin Kayraklioglu - Hewlett Packard Enterprise
*  Irene Moulitsas - Cranfield University
*  Elliott Slaughter - SLAC National Accelerator Laboratory

* Bill Long - Hewlett Packard Enterprise
* Daniele Lezzi - Barcelona Supercomputing Center

* Dan Bonachea - Lawrence Berkeley National Laboratory
* Jan Ciesko - Sandia National Laboratories
* Iacopo Colonnelli - University of Turin
* Mario Di Renzo - University of Salento and Stanford University
* Salvatore Filippone - Universita di Roma Tor Vergata
* Magne Haveraaen - University of Bergen
* Peter Hawkins - Google
* Engin Kayraklioglu - Hewlett Packard Enterprise
* Jannis Klikenberg - RWTH Aachen University
* Daniele Lezzi - Barcelona Supercomputing Center
* Bill Long - Hewlett Packard Enterprise
* Francesc Lordan - Barcelona Supercomputing Center
* Lee Margetts - University of Manchester
* Fabrizio Marozzo - University of Calabria
* Josh Milthorpe - Australian National University
* Henry Monge Camacho - Oak Ridge National Laboratory
* Karla Morris - Sandia National Laboratories
* Irene Moulitsas - Cranfield University
* Elliott Slaughter - SLAC National Accelerator Laboratory
* Kenjiro Taura - University of Tokyo
* Miwako Tsuji - RIKEN Advanced Institute for Computational Science

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

* Irene Moulitsas - Cranfield University

* Scott Baden - University of California San Diego
* Desmond Bisandu - Cranfield University
* Valentin Churavy - Massachusetts Institute of Technology
* Fabio Durastante - University of Pisa
* Yakup Koray Budanaz - Technical University of Munich
* Boyu Kuang - Cranfield University
* Soren Rasmussen - National Center for Atmospheric Research
* Anjiang Wei - Stanford University

* Submissions deadline: July 31, 2023 (extended!)
* Manuscripts review period: August 2-23, 2023
* Notification to authors: August 31, 2023
* Updated AD/AE appendix due from authors: September 4, 2023
* PAW-ATM workshop date: November 13, 2023

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