Submission site (powered by Linklings) now open and available at ipdps.org.
Authors must register their paper's submit an abstract by October 7,
2019, and
then submit full versions of registered papers by October 14, 2019.
IEEE IPDPS 2020
34th IEEE International Parallel and Distributed Processing Symposium
May 18-22, 2020
Hilton New Orleans Riverside
New Orleans, Louisiana USA
www.ipdps.org
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IPDPS 2020 CALL FOR PAPERS - ABSTRACTS DUE October 7th, 2019
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SCOPE
Authors are invited to submit manuscripts that present original unpublished
research in all areas of parallel and distributed processing, including
translational research such as the development and operation of
experimental or
commercial systems. Work focusing on emerging technologies and
interdisciplinary
work covering multiple IPDPS focus areas is especially welcome.
Topics of interest include but are not limited to the following topic areas:
-- Parallel and distributed computing theory and algorithms (Algorithms)
-- Experiments and practice in parallel and distributed computing
(Experiments)
-- Programming models, compilers and runtimes for parallel applications and
systems (Programming Models and Compilers)
-- System software and middleware for parallel and distributed systems
(System
Software)
-- Architecture
-- Multidisciplinary
WHAT/WHERE TO SUBMIT
Abstracts must be submitted by October 7, 2019, submitted abstracts may not
exceed 500 words. Manuscripts must be submitted by October 14, 2019,
submitted
manuscripts may not exceed ten (10) single-spaced double-column pages using
10-point size font on 8.5x11 inch pages (IEEE conference style), including
figures, tables, and references. The submitted manuscripts should
include author
names and affiliations.
See more details, including a description of the review process, at
http://www.ipdps.org/ipdps2020/2020-call-for-papers.html
2020 IMPORTANT DATES
Abstracts due October 7, 2019
Submissions due October 14, 2019
Program committee meeting December 7, 2019
Preliminary decisions December 9, 2019
Final submissions due January 6, 2020
Final notification January 20, 2020
Camera ready due February 15, 2020
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IPDPS 2020 GENERAL CO-CHAIRS
Anu Bourgeois (Georgia State University, USA)
Ramachandran Vaidyanathan (Louisiana State University, USA)
IPDPS 2020 PROGRAM CHAIR
Yuanyuan Yang (NSF and Stony Brook University, USA)
PROGRAM AREA CHAIRS AND VICE CHAIRS
Algorithms:
Xiaotie Deng (Peking University, China) and
Songtao Guo (Chongqing University, China)
Architecture:
Ahmed Louri (George Washington University, USA) and
Avinash Karanth (Ohio University, USA)
Experiments:
Xin Yuan (Florida State University, USA) and
Scott Pakin (Los Alamos National Laboratory, USA)
System Software:
Alan Sussman (NSF and University of Maryland, College Park, USA) and
Zhiling Lan (Illinois Institute of Technology, USA)
Programming Models and Compilers:
Rudolf Eigenmann (University of Delaware, USA)
Zhiyuan Li (Purdue University, USA)
Multidisciplinary:
Manish Parashar (NSF and Rutgers University, USA)
Ivona Brandic (Vienna University of Technology, Austria)
IPDPS 2020 VENUE
New Orleans is one of the most eccentric and lively cities in the world.
Whatever your interests are, New Orleans has you covered. From its diverse
culture, distinctive cuisine, rich history, colorful celebrations, live
music,
vibrant nightlife, and world-class restaurants, there is something for
everyone.
It is home to a number of engaging museums, including the World War II
Museum,
the New Orleans Museum of Art, the Historic Voodoo Museum, Mardi Gras
World, and
the Pharmacy Museum. A visit would not be complete without a swamp tour,
Mississippi river cruise and a stop at Cafe du Monde for beignets. Join
IPDPS in
2020 to find out what makes New Orleans so unique and special.
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...Follow us on Facebook at https://www.facebook.com/IPDPS
...Follow us on Twitter at https://twitter.com/IPDPS
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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
IEEE Computer Society Technical Committee on Distributed Processing
ACM
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