[hpc-announce] IPDPS 2017 workshops - call for papers

[Oden, Lena]

IPDPS 2017 WORKSHOPS - Call for Papers
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November 7, 2016 release

31st IEEE International Parallel & Distributed Processing Symposium
May 29 – June 2, 2017
Orlando, Florida USA

http://www.ipdps.org/ipdps2017/2017_call_for_workshops.html

The IPDPS 2017 workshops listed below will be held on Monday, May 29th and Friday, June 2nd. 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. Proceedings of the workshops are distributed at the conference and are submitted for inclusion in the IEEE Xplore Digital Library after the conference.

*** PLEASE NOTE ***
All workshops have their own websites and may make changes in their submission requirements and due dates. Workshops' pages are linked here: http://www.ipdps.org/ipdps2017/2017_call_for_workshops.html.

IPDPS ROUNDTABLE WORKSHOPS – 2ND ANNUAL EVENT!
These condensed workshops, organized and animated by a few people, will be held on Tuesday and Thursday in a “roundtable” setting designed to promote one-on-one interaction. They will focus on an emerging area of interest to IPDPS attendees, especially topics that complement and “round out” the areas covered by the regular workshops. Proposals to conduct a Roundtable Workshop may be submitted after January 1, 2017.

TWENTY-FOUR  WORKSHOPS PLANNED FOR IPDPS 2017 IN ORLANDO
Below is the list of 24 workshops planned for 2017 in Orlando. For the most up to date information on each workshop, follow the link from this page. Note that all workshops have their own Web sites and may make changes in their submission requirements and due dates.

IPDPS: WORKSHOPS MONDAY 29 MAY 2017
HCW: Heterogeneity in Computing Workshop
RAW: Reconfigurable Architectures Workshop
HiComb: High Performance Computational Biology
EduPar: NSF/TCPP W. on Parallel and Distributed Computing Education
ParLearning: Parallel and Distributed Computing for Machine Learning
and Big Data Analytics
PDCO: Parallel / Distributed Computing and Optimization (early deadline!)
GABB: Graph Algorithms Building Blocks
AsHES: Accelerators and Hybrid Exascale Systems
HIPS: High Level Programming Models and Supporting Environments
APDCM: Advances in Parallel and Distributed Computational Models
HPPAC: High-Performance, Power-Aware Computing
HPBDC: High-Performance Big Data Computing

IPDPS WORKSHOPS FRIDAY 2 JUNE 2017
CHIUW: Chapel Implementers and Users Workshop
LSPP: Large-Scale Parallel Processing: Practices and Experiences
PDSEC: Parallel and Distributed Scientific and Engineering Computing
JSSPP: Job Scheduling Strategies for Parallel Processors Proposal
DPDNS: Dependable Parallel, Distributed and Network-centric Systems
IPDRM: Emerging Parallel and Distributed Runtime Systems and Middleware
iWAPT: International Workshop on Automatic Performance Tunings (early deadline!)
ParSocial: Parallel and Distributed Processing for Computational Social System
BigDataEco: Big Data Regional Innovation Hubs and Spokes: Accelerating
the Big Data Innovation Ecosystem
GraML: Graph Algorithms and Machine Learning
EMBRACE: Evolvable Methods for Benchmarking Realism and Community Engagement
REPPAR: Reproducibility in Parallel Computing

WORKSHOPS CHAIR and VICE-CHAIR (workshops at ipdps.org<mailto:workshops at ipdps.org>)
Bora Uçar (CNRS and ENS Lyon, France)
Erik Saule (University of North Carolina Charlotte, USA)

WORKSHOPS PROCEEDINGS CHAIR and VICE-CHAIR
Ramachandran Vaidyanathan (Louisiana State University, USA)
Kyle Chard (University of Chicago, USA)

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Sponsored by IEEE Computer Society Technical Committee on Parallel Processing
In cooperation with
ACM SIGARCH,
ACM SIGHPC;
IEEE Computer Society Technical Committee on Computer Architecture, and
IEEE Computer Society Technical Committee on Distributed Processing
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