[IPDPS] IPDPS 2024 Workshops Call for Papers

Daniele De Sensi desensi at di.uniroma1.it
Mon Jan 8 11:12:17 UTC 2024


IEEE IPDPS 2024

38th IEEE International Parallel &

Distributed Processing Symposium

May 27-31, 2024

San Francisco, California USA


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. Proceedings of the workshops are
distributed at the conference and are submitted for inclusion in the IEEE
Xplore Digital Library after the conference.


The seventeen IPDPS 2024 Workshops listed below will be held on Monday, May
27 and Friday, May 31, 2024. The scheduled day of workshops will be
announced in January 2024. Each workshop has its own requirements and
schedule for submissions. Note that all workshops have their own Web sites
and may make changes in their submission requirements and due dates,
including requiring abstracts to be submitted in advance of papers.


For details, go to https://www.ipdps.org/ipdps2024/2024-workshops.html


Paper submission due dates (listed below name of workshops)

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

APDCM

Advances in Parallel and Distributed Computational Models

25 JAN 2024

AsHES

Accelerators and Hybrid Emerging Systems

19 JAN 2024

CGRA4HPC

Coarse-Grained Reconfigurable Architectures for High-Performance Computing

1 FEB 2024

EduPar

NSF/TCPP Workshop on Parallel and Distributed Computing Education

28 JAN 2024

ESSA

Extreme-Scale Storage and Analysis

25 JAN 2024

GrAPL

Graphs, Architectures, Programming, and Learning

2 FEB 2024

HCW

Heterogeneity in Computing Workshop

22 JAN 2024

HiCOMB

High Performance Computational Biology

1 FEB 2024

HIPS

High-level Parallel Programming Models and Supportive Environments

19 JAN 2024

iWAPT

International Workshop on Automatic Performance Tuning

15 JAN 2024

JSSPP

Job Scheduling Strategies for Parallel Processing

2 FEB 2024

PAISE

Parallel AI and Systems for the Edge

14 FEB 2024

ParSocial

Parallel and Distributed Processing for Computational Social Systems

16 FEB 2024

PDCO

Parallel / Distributed Combinatorics and Optimization

26 JAN 2024

PDSEC

Parallel and Distributed Scientific and Engineering Computing

19 JAN 2024

Q-CASA

Quantum Computing Algorithms, Systems, and Applications

1 FEB 2024

RAW

Reconfigurable Architectures Workshop

29 JAN 2024

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

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

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

Richard (Rich) Vuduc, Georgia Tech, USA

WORKSHOPS CHAIR & VICE CHAIR

Ananth Kalyanaraman, Washington State University, USA

Suren Byna, Ohio State University, USA

PhD FORUM CHAIR & VICE CHAIR

Sanmukh Kuppannagari, Case Western Reserve University, USA

Tanwi Malick, Argonne National Laboratory, 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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