[CfP][Reminder] PAW-ATM 2026: The 9th Annual Parallel Applications Workshop, Alternatives To MPI+X (SC26, Deadline: July 24)
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HIRAISHI Tasuku (平石 拓)
Jul 7, 2026, 11:06:18 PM (3 days ago) Jul 7
to swopp-a...@googlegroups.com
SWoPP MLの皆様，
（重複してお受け取りの際は何卒ご容赦ください）
京都橘大学の平石です．
先日ご案内いたしました，SC26 併設ワークショップPAW-ATM
2026（11月，Chicago）の論文募集について，投稿締切（7月24日）が近づいてまいりましたので，再度ご案内いたします．
PAW-ATMは，MPI+Xに代わる並列プログラミングモデルを使ったHPCアプリケーションの事例や知見を共有するワークショップです．投稿カテゴリはfull
paper（8〜10ページ）とuser experience abstract（1〜4ページ）の2種類で，どちらも投稿締切は7月24日です．
AI・機械学習・ビッグデータ解析・バイオインフォマティクスなども含む幅広い分野からの投稿を歓迎しています．
ぜひ投稿をご検討ください。よろしくお願いいたします。
--
京都橘大学 工学部情報工学科
平石 拓
mail: hira...@tachibana-u.ac.jp
*****************************************************************
Call for Papers PAW-ATM 2026:
Parallel Applications Workshop,
Alternatives To MPI+X
Held in conjunction with SC26, Chicago, IL
Submissions deadline: July 24, 2026
Notification to authors: August 31, 2026
Workshop date: November 15-20, 2026
https://go.lbl.gov/paw-atm
****************************************************************
SUMMARY
As supercomputers become more and more powerful, the number and diversity of
applications that can be tackled with these machines grow. 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 challenges.
SCOPE AND AIMS
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
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) pages including
text, figures, and non-AD/AE appendices, but excluding bibliography,
acknowledgments and AD/AE appendices.
PAW-ATM follows the reproducibility initiative of SC26. Submissions shall
include an Artifact Description (AD) appendix, and may optionally include
an Artifact Evaluation (AE) appendix.
Authors should include a draft of the AD/AE appendices with the initial
manuscript PDF submission. You will have the opportunity to revise the
AD/AE appendices after papers are accepted and before artifact
evaluation. See https://go.lbl.gov/paw-atm for further details.
2) User experience abstracts:
* Abstracts will be evaluated separately and will not be included in the
published proceedings. Submissions in this track include a title and 1-4
pages abstract. The content may include any combination of novel and/or
previously published work that is relevant to the workshop's scope.
Content that highlights the experiences of users of alternatives of MPI,
and their applications, will be prioritized within this submission
category.
Abstracts may optionally include AD/AE appendices, not included in the
abstract page count, but such appendices will NOT be evaluated and no
badges will be awarded.
WORKSHOP CHAIR
* Karla Vanessa Morris Wright - Sandia National Laboratories
ORGANIZING COMMITTEE
* Daniele Lezzi - Barcelona Supercomputing Center
* Tasuku Hiraishi - Kyoto Tachibana University
* Katherine Rasmussen - Lawrence Berkeley National Laboratory
* Elliott Slaughter - SLAC National Accelerator Laboratory
PROGRAM COMMITTEE CO-CHAIRS
* Daniele Lezzi - Barcelona Supercomputing Center
* Katherine Rasmussen - Lawrence Berkeley National Laboratory
PROGRAM COMMITTEE
* Oliver Alvarado Rodriguez - Hewlett Packard Enterprise
* Scott Baden - University of California, San Diego
* Dan Bonachea - Lawrence Berkeley National Laboratory
* Nils Deppe - Cornell University
* Jason DeVinney - Center for Computing Sciences
* Nelson Dias - Federal University of Parana
* Ryan D. Friese - Pacific Northwest National Laboratory
* Yanfei Guo - NVIDIA
* Magne Haveraaen - University of Bergen
* Tasuku Hiraishi - Kyoto Tachibana University
* Engin Kayraklioglu - Hewlett Packard Enterprise
* Daniele Lezzi - Barcelona Supercomputing Center
* Nouredine Melab - University of Lille
* Esteban Meneses Rojas - National High Technology Center
* Henry Monge Camacho - Oak Ridge National Laboratory
* Karla Vanesa Morris Wright - Sandia National Laboratories
* Brandon Neth - Hewlett Packard Enterprise
* Jonas Posner - Fulda University of Applied Sciences
* Katherine Rasmussen - Lawrence Berkeley National Laboratory
* Michael Schlottke-Lakemper - University of Augsburg
* Shumpei Shiina - Toyota Motor Corporation
* Elliott Slaughter - SLAC National Accelerator Laboratory
* Andy Stone - Hewlett Packard Enterprise
* Gabriel Tanase - Amazon Web Services
* Thiago Teixeira - Intel
* Sean Treichler - NVIDIA
* Miwako Tsuji - Riken Advanced Institute for Computational Science
ADVISORY COMMITTEE
* Bradford L. Chamberlain - Hewlett Packard Enterprise
* Damian W. I. Rouson - Sourcery Institute
ARTIFACT EVALUATION COMMITTEE CHAIR
* Elliott Slaughter - SLAC National Accelerator Laboratory
* Olivier Aumage - Inria
ARTIFACT EVALUATION COMMITTEE MEMBERS
* Keylor Arley - Universidad Costa Rica
* Yakup Budanaz - Technical University of Munich
* Fabio Durastante - University of Pisa
* Guillaume Helbecque - University of Lille
* Mert Hidayetoglu - Stanford University
* Jonas Posner - Fulda University of Applied Sciences
* Soren Rasmussen - National Center for Atmospheric Research
IMPORTANT DATES
* Manuscript Submissions deadline: July 24, 2026
* Artifact Description (mandatory) Submissions deadline: July 24, 2026
* Notification to authors: August 31, 2026
* Artifact Evaluation (optional) Submissions deadline: September 4, 2026
* Camera-ready papers due from authors: September 25, 2026
* November 15-20, 2026: Workshop at SC26
（重複してお受け取りの際は何卒ご容赦ください）
京都橘大学の平石です．
先日ご案内いたしました，SC26 併設ワークショップPAW-ATM
2026（11月，Chicago）の論文募集について，投稿締切（7月24日）が近づいてまいりましたので，再度ご案内いたします．
PAW-ATMは，MPI+Xに代わる並列プログラミングモデルを使ったHPCアプリケーションの事例や知見を共有するワークショップです．投稿カテゴリはfull
paper（8〜10ページ）とuser experience abstract（1〜4ページ）の2種類で，どちらも投稿締切は7月24日です．
AI・機械学習・ビッグデータ解析・バイオインフォマティクスなども含む幅広い分野からの投稿を歓迎しています．
ぜひ投稿をご検討ください。よろしくお願いいたします。
--
京都橘大学 工学部情報工学科
平石 拓
mail: hira...@tachibana-u.ac.jp
*****************************************************************
Call for Papers PAW-ATM 2026:
Parallel Applications Workshop,
Alternatives To MPI+X
Held in conjunction with SC26, Chicago, IL
Submissions deadline: July 24, 2026
Notification to authors: August 31, 2026
Workshop date: November 15-20, 2026
https://go.lbl.gov/paw-atm
****************************************************************
SUMMARY
As supercomputers become more and more powerful, the number and diversity of
applications that can be tackled with these machines grow. 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 challenges.
SCOPE AND AIMS
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
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) pages including
text, figures, and non-AD/AE appendices, but excluding bibliography,
acknowledgments and AD/AE appendices.
PAW-ATM follows the reproducibility initiative of SC26. Submissions shall
include an Artifact Description (AD) appendix, and may optionally include
an Artifact Evaluation (AE) appendix.
Authors should include a draft of the AD/AE appendices with the initial
manuscript PDF submission. You will have the opportunity to revise the
AD/AE appendices after papers are accepted and before artifact
evaluation. See https://go.lbl.gov/paw-atm for further details.
2) User experience abstracts:
* Abstracts will be evaluated separately and will not be included in the
published proceedings. Submissions in this track include a title and 1-4
pages abstract. The content may include any combination of novel and/or
previously published work that is relevant to the workshop's scope.
Content that highlights the experiences of users of alternatives of MPI,
and their applications, will be prioritized within this submission
category.
Abstracts may optionally include AD/AE appendices, not included in the
abstract page count, but such appendices will NOT be evaluated and no
badges will be awarded.
WORKSHOP CHAIR
* Karla Vanessa Morris Wright - Sandia National Laboratories
ORGANIZING COMMITTEE
* Daniele Lezzi - Barcelona Supercomputing Center
* Tasuku Hiraishi - Kyoto Tachibana University
* Katherine Rasmussen - Lawrence Berkeley National Laboratory
* Elliott Slaughter - SLAC National Accelerator Laboratory
PROGRAM COMMITTEE CO-CHAIRS
* Daniele Lezzi - Barcelona Supercomputing Center
* Katherine Rasmussen - Lawrence Berkeley National Laboratory
PROGRAM COMMITTEE
* Oliver Alvarado Rodriguez - Hewlett Packard Enterprise
* Scott Baden - University of California, San Diego
* Dan Bonachea - Lawrence Berkeley National Laboratory
* Nils Deppe - Cornell University
* Jason DeVinney - Center for Computing Sciences
* Nelson Dias - Federal University of Parana
* Ryan D. Friese - Pacific Northwest National Laboratory
* Yanfei Guo - NVIDIA
* Magne Haveraaen - University of Bergen
* Tasuku Hiraishi - Kyoto Tachibana University
* Engin Kayraklioglu - Hewlett Packard Enterprise
* Daniele Lezzi - Barcelona Supercomputing Center
* Nouredine Melab - University of Lille
* Esteban Meneses Rojas - National High Technology Center
* Henry Monge Camacho - Oak Ridge National Laboratory
* Karla Vanesa Morris Wright - Sandia National Laboratories
* Brandon Neth - Hewlett Packard Enterprise
* Jonas Posner - Fulda University of Applied Sciences
* Katherine Rasmussen - Lawrence Berkeley National Laboratory
* Michael Schlottke-Lakemper - University of Augsburg
* Shumpei Shiina - Toyota Motor Corporation
* Elliott Slaughter - SLAC National Accelerator Laboratory
* Andy Stone - Hewlett Packard Enterprise
* Gabriel Tanase - Amazon Web Services
* Thiago Teixeira - Intel
* Sean Treichler - NVIDIA
* Miwako Tsuji - Riken Advanced Institute for Computational Science
ADVISORY COMMITTEE
* Bradford L. Chamberlain - Hewlett Packard Enterprise
* Damian W. I. Rouson - Sourcery Institute
ARTIFACT EVALUATION COMMITTEE CHAIR
* Elliott Slaughter - SLAC National Accelerator Laboratory
* Olivier Aumage - Inria
ARTIFACT EVALUATION COMMITTEE MEMBERS
* Keylor Arley - Universidad Costa Rica
* Yakup Budanaz - Technical University of Munich
* Fabio Durastante - University of Pisa
* Guillaume Helbecque - University of Lille
* Mert Hidayetoglu - Stanford University
* Jonas Posner - Fulda University of Applied Sciences
* Soren Rasmussen - National Center for Atmospheric Research
IMPORTANT DATES
* Manuscript Submissions deadline: July 24, 2026
* Artifact Description (mandatory) Submissions deadline: July 24, 2026
* Notification to authors: August 31, 2026
* Artifact Evaluation (optional) Submissions deadline: September 4, 2026
* Camera-ready papers due from authors: September 25, 2026
* November 15-20, 2026: Workshop at SC26
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