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SCHEDULE: NOV 15-20, 2015
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ExaMPI15: Workshop on Exascale MPI
SESSION: ExaMPI15: Workshop on Exascale MPI
EVENT TYPE: Workshops
EVENT TAG(S): Programming Systems, SIGHPC Workshop
TIME: 9:00AM - 5:30PM
Organizer(s):Stefano Markidis, Erwin Laure, William D. Gropp, Jesper Larsson Träff, Masamichi Takagi, Roberto Gioiosa, Mirko Rahn, Mark Bull, Daniel Holmes
ROOM:Hilton Salon F
ABSTRACT:
MPI is currently the de-facto standard for HPC systems and applications. On the road to exascale, the workshop investigates if there is a need for re-examination of the Message Passing (MP) model and for exploring new innovative and potentially disruptive concepts and algorithms in MPI.
The aim of workshop is to bring together researchers and developers to present and discuss innovative algorithms and concepts in the MP programming model and to create a forum for open and potentially controversial discussions on the future of MPI in the exascale era.
Possible workshop topics include innovative algorithms for collective operations, extensions to MPI, including data centric models such as active messages, scheduling/routing to avoid network congestion, “fault-tolerant” communication, interoperability of MP and PGAS models, integration of task-parallel models in MPI and use of MPI in large scale applications.
This workshop will produce a refereed proceedings that will be available through the ACM Digital Library and IEEE Xplore (free of charge during and immediately after SC, and free after that to SIGHPC members).
More at: https://www.pdc.kth.se/exampi15
Chair/Organizer Details:
Stefano Markidis - KTH Royal Institute of Technology
Erwin Laure - KTH Royal Institute of Technology
William D. Gropp - University of Illinois at Urbana-Champaign
Jesper Larsson Träff - Vienna University of Technology
Masamichi Takagi - RIKEN
Roberto Gioiosa - Pacific Northwest National Laboratory
Mirko Rahn - Fraunhofer Society
Mark Bull - Edinburgh Parallel Computing Centre
Daniel Holmes - Edinburgh Parallel Computing Centre
Click here to download .ics calendar file