[hpc-announce] CFP: Workshop on Parallel Methods for Search & Optimization

Philippe Codognet codognet at is.s.u-tokyo.ac.jp
Tue Apr 1 23:54:41 CDT 2014


(extended deadline)

Workshop on Parallel Methods for Search & Optimization
July 18, 2014 · Vienna, Austria

Workshop Homepage:

This workshop will take place during the "Vienna Summer of Logic 2014"
cluster of conferences


Important Dates

Paper submission APRIL 11, 2014 (EXTENDED)
Notification MAY 9, 2014

Aims and Scope

ParSearchOpt is the fourth workshop in this series. It is a continuation of
the CP 2011 "Workshop on Parallel Methods for Constraint Solving", the 2012
Shonan Meeting on "Parallel Methods for Constraint Solving and
Combinatorial Optimization", and the CPAIOR 2013 workshop on "Parallel
Methods for Combinatorial Search & Optimization".

In the last decade, with the development of multi-core workstations, the
availability of GPGPU-enhanced systems and the access to Grid platforms and
supercomputers worldwide, Parallel Programming reached mainstream
programming and appeared as a key issue in order to use in an efficient
manner the computing power at hand. With the move towards Exascale
computing during this decade, this trend will continue to gain importance.

Search methods and combinatorial optimization techniques are not isolated
from this phenomenon, as bigger computing power means the ability to attack
more complex combinatorial problems. In the last years several experiments
have been done to parallelize the execution of search methods such as SAT
solving, Constraint Programming and combinatorial optimization methods such
as Local Search, Meta-heuristics and Branch & Bound. However these works
have mostly been done for shared memory multi-core systems (i.e. with a few
cores) or for small PC clusters (a few machines). The next challenge is to
devise efficient techniques and algorithms for massively parallel computers
with tens or hundreds of thousands of cores in the form of heterogeneous
hybrid systems based on both multi-core processors and GPUs.

An important point is also for researchers working on the parallel search
and optimization in different fields to share their experience on both
theoretical and practical issues. This workshop is thus aimed to be a forum
for researchers willing to exchange ideas, theoretical frameworks, design
of algorithms and methods, implementation issues, experimental results and
to further boost this growing area of research through cross-fertilization.
We solicit papers on these topics, and welcome reports on work in progress,
work already presented in a different context, as well as position papers.

Paper Submissions

Papers must be 15 pages plus references and use the Springer LNCS style.
Papers must be submitted through EasyChair:

Program Committee

Salvador Abreu (Universidade de Évora, CENTRIA)
Alejandro Arbelaez (INSIGHT Center for Data Analytics, University College
Philippe Codognet (JFLI - CNRS / UPMC / University of Tokyo) - chair
Daniel Diaz (Universite de Paris-I)
Youssef Hamadi (Microsoft Research)
Ines Lynce (INESC-ID/IST, University of Lisbon)
Jean-Charles Régin (University of Nice-Sophia Antipolis / I3S / CNRS)
Ashish Sabharwal (IBM Research)
Lakhdar Sais (CRIL, Université d'Artois)
Horst Samulowitz (IBM Research)
Vijay Saraswat (IBM)
Christian Schulte (KTH Royal Institute of Technology)
Meinolf Sellmann (IBM) - chair
Peter Stuckey (University of Melbourne)
Guido Tack (Monash University) - chair
Charlotte Truchet (LINA, UMR 6241, Université de Nantes)
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.mcs.anl.gov/mailman/private/hpc-announce/attachments/20140402/203a49c2/attachment.html>

More information about the hpc-announce mailing list