IPDPS 2024 CALL FOR PAPERS

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IEEE IPDPS 2024

38th IEEE International Parallel &

Distributed Processing Symposium

May 27-31, 2024

San Francisco, California USA

www.ipdps.org

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IPDPS 2024 CALL FOR PAPERS


IMPORTANT DATES


• September 28, 2023- Abstracts due


• October 5, 2023 – Papers due


(An extension to the above deadlines is not expected.)


To see the full Call for Papers, visit ipdps.org.

 

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.

Applications:
The focus of this track is on papers that develop applications to solve problems using parallel and distributed computing concepts

Programming Models, Compilers, and Runtime Systems:
This track covers topics ranging from the design of parallel programming models and paradigms to languages 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 track focuses on studies related to both existing and emerging architectures.

Measurements, Modeling, and Experiments:
This track focuses on experiments and performance-oriented studies in the practice of parallel and distributed computing.


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

 

Visit the website at ipdps.org to see the full Call for Papers including details of WHAT/WHERE TO SUBMIT, a description of REVIEW OF MANUSCRIPTS, the IMPORTANT DATES, and a listing of the PROGRAM COMMITTEE.

 

PROGRAM CO-CHAIRS
P. (Saday) Sadayappan, University of Utah, USA

Richard (Rich) Vuduc, Georgia Tech, USA

 

PROGRAM AREA CO-CHAIRS

Parallel and Distributed Algorithms for Computational Science:

Amanda Randles, Duke University, USA

Edgar Solomonik, University of Illinois at Urbana-Champaign, USA

Parallel and Distributed Algorithms for Data Science:

Ariful Azad, Indiana University Bloomington , USA

Rio Yokota, Tokyo Institute of Technology, Japan

Applications:

Sivasankaran Rajamanickam, Sandia National Laboratory, USA

Hari Sundar, University of Utah, USA

Programming Models, Compilers, and Runtime Systems:

Frank Mueller, North Carolina State University, USA

Fabrice Rastello, INRIA Grenoble, France
System Software:

Ron Brightwell, Sandia National Laboratories, USA

Trilce Estrada, University of New Mexico, USA

Architecture:

Maya Gokhale, Lawrence Livermore National Laboratory, USA

Xiaoyi Lu, University of California, Merced, USA

Measurements, Modeling, and Experiments:

Georg Hager, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

Amelie Chi Zhou, Hong Kong Baptist University, Hong Kong


2024 TECHNICAL PROGRAM COMMITTEE

 

IPDPS 2024 VENUE AND PROGRAM

IPDPS 2024 will be held at the four-star Hyatt Regency San Francisco located at 5 Embarcadero, along the city’s eastern shoreline with a view of the Golden Gate Bridge. Starting from the hotel’s waterfront location, guests can enjoy many of the area’s prime tourist spots and explore nearby coastal and inland spots of interest. The Bay Area is one of the few regions in the world with three transit-friendly major international airports: San Francisco, Oakland, and San Jose.


GENERAL CO-CHAIRS
Gagan Agrawal, University of Georgia, USA

Alba Cristina Melo, University of Brasilia, Brazil

WORKSHOPS CHAIR & VICE CHAIR
Ananth Kalyanaraman, Washington State University, USA

Suren Byna, Ohio State University, USA


PhD FORUM CHAIR

Sanmukh Kuppannagari, Case Western Reserve University, USA


PROCEEDINGS CHAIR & VICE CHAIR
Kyle Chard, University of Chicago, USA

Zhuozhao Li, Southern University of Technology, Shenzhen, China

 

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Sponsored by IEEE Computer Society Technical Committee on Parallel Processing

In cooperation with

ACM SIGARCH,

IEEE Computer Society Technical Committee on Computer Architecture and

IEEE Computer Society Technical Committee on Distributed Processing

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Anastasiia Butko
Lawrence Berkeley National Laboratory
Computer Science Department
+1 510 486 5227



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