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Date: Mon, 8 Aug 2022 22:47:05 +0200
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- IPDPS 2023 CALL FOR WORKSHOP PROPOSALS

- IPDPS 2023 CALL FOR PAPERS


------------------------------------

IEEE IPDPS 2023

37th IEEE International Parallel &

Distributed Processing Symposium

May 15-19, 2023

Hilton St. Petersburg Bayfront Hotel

St. Petersburg, Florida USA

------------------------------------



CALL FOR IPDPS 2023 WORKSHOP PROPOSALS

IPDPS 2023 invites two types of workshop proposals:

renewal proposals and new workshop proposals.



• Renewal Workshop Proposals are due August 15, 2022

• New Workshop Proposals are due August 22, 2022

• Notifications to be sent September 12, 2022



ABOUT IPDPS WORKSHOPS

Usually held on the first and last day of the conference, IPDPS workshops
provide an extended forum that allows the IPDPS community an opportunity to
fully explore special topics and to present work that is more preliminary
and cutting-edge or that has more practical content than the more mature
research presented in the main symposium. Each workshop has its own
requirements and schedule for submissions. Workshop paper submission dates
typically fall after the notification date for the main symposium papers.
Proceedings of the workshops are distributed at the conference and are
submitted for inclusion in the IEEE Xplore Digital Library after the
conference.



WORKSHOPS CHAIR and VICE CHAIR

Ananth Kalyanaraman (Washington State University, USA)

Suren Byna (Lawrence Berkeley National Laboratory, USA)



TO SUBMIT WORKSHOP PROPOSALS

- Visit Workshops page at ipdps.org or email [log in to unmask]

------------------------------------



IPDPS 2023 CALL FOR PAPERS

PLEASE NOTE DUE DATES:


   -

   September 29, 2022 - Abstracts due
   -

   October 6, 2022 - Full versions of registered papers due



Authors are invited to submit manuscripts that present novel and impactful
research in all areas of parallel and distributed processing. Works
focusing on emerging technologies, interdisciplinary work spanning multiple
IPDPS focus areas, and novel open-source artifacts are especially welcome.
Topics of interest include but are not limited to the following topic areas:



Parallel and Distributed Algorithms for Computational Science: This track
focuses on parallel and distributed (to include cloud, edge, and fog
computing) algorithms arising in the context of execution of computational
science methods.



Parallel and Distributed Algorithms for Data Science: This track focuses on
parallel and distributed (to include cloud, edge, and fog computing)
algorithms arising in the context of execution of data science methods,
including machine learning, data mining, graph computations, clustering,
visualization, and other forms of data analytic methods.



Experiments: This track focuses on experiments and practice in parallel and
distributed computing.



Programming Models, Compilers, and Runtime Systems: This track ranges from
the design of programming models and paradigms to language and compilers
supporting these models and paradigms, to runtime and middleware solutions.



System Software: This track focuses on software that is close to the bare
hardware.



Architecture: This topics focuses on studies related to both existing and
emerging architectures.



Multidisciplinary: The focus of this track is on papers that cross the
boundaries of the tracks listed above and/or address the application of
parallel and distributed computing concepts and solutions to other areas of
science and engineering.



The conference will recognize exceptional contributions with a Best Paper
Award and a Best Open-Source Contribution Award.



To see the full Call for Papers including details of WHAT/WHERE TO SUBMIT,
a description of REVIEW OF MANUSCRIPTS, and the IMPORTANT DATES, visit the
IPPDS website at ipdps.org.





GENERAL CO-CHAIRS

Anu G Bourgeois, Georgia State University, USA

Jie Wu, Temple University, USA



PROGRAM CO-CHAIRS

Gagan Agrawal, August University, USA

Devesh Tiwari, Northeastern University, USA



PROGRAM AREA CO-CHAIRS

Parallel and Distributed Algorithms for Computational Science:

Anne Benoit (ENS Lyon, France)

Erik Saule (Univ of North Carolina, Charlotte, USA)

Parallel and Distributed Algorithms for Data Science:

Tekin Bicer (Argonne National Lab, USA)

Konstantin (Costas) Busch (Augusta University, USA)

Experiments:

Ann Gentile(Sandia National Lab, USA)

Ignacio Laguna (Lawrence Livermore National Lab, USA)

Programming Models, Compilers, and Runtime Systems:

Bin Ren (College of William & Mary, USA)

P. (Saday) Sadayappan (University of Utah, USA)

System Software:

Xubin He (Temple University, USA)

Jon Weissman (University of Minnesota, USA)

Architecture:

Michela Becchi (North Carolina State University, USA)

Osman Unsal (Barcelona Supercomputing Center, Spain)

Multidisciplinary:

Amanda Randles (Duke University, USA)

Valerie Taylor (Argonne National Lab, USA)



IPDPS 2023 VENUE AND PROGRAM

IPDPS 2023 will be held in the middle of May at the Hilton St. Petersburg,
located in the heart of the downtown, waterfront business district and
within walking distance to a variety of attractions. St. Petersburg, also
known as St. Pete, is on Florida's gulf coast, part of the Tampa Bay area
and known for its pleasant weather. Along with award-winning beaches, St.
Pete is home to the world-renowned Salvador Dali Museum, top-rated
restaurants, and beautiful Fort De Soto Park. Downtown St. Pete is full of
sunshine, history, culture, art, amazing food, adorable shops, unique
breweries, and more, and the new St Pete Pier offers a full range of
downtown attractions. The area is served by St. Pete-Clearwater
International Airport and is less than two hours from Disneyland in
Orlando, also served by an international airport.



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Sponsored by IEEE Computer Society Technical Committee on Parallel
Processing

In cooperation with

IEEE Computer Society Technical Committee on Computer Architecture and

IEEE Computer Society Technical Committee on Distributed Processing

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