PMCS 2011 - Workshop on Parallel Methods for Constraint Solving
Topics/Call fo Papers
PMCS’11
Workshop on
Parallel Methods for Constraint Solving
To be held at
CP2011
17th Int. Conf. on Principles and Practice of Constraint Programming
Perugia, Italy, September13-16
With the development of multi-core workstations, the availability of
GPGPU-enhanced systems and the access to Grid platforms and
supercomputers worldwide, parallel programming is reaching mainstream
programming in order to use in an efficient manner the computing power
at hand.
With the move towards Exascale computing this trend will develop all
the more. Constraint programming is not isolated from this phenomenon,
as bigger computing power means the ability to attack more complex
combinatorial problems.
In the last years some experiments have been done to extend constraint
solving techniques to parallel execution, but mostly on shared memory
multi-core systems (a few cores) or small PC clusters (a few
machines). The next challenge is to devise efficient constraint
solving technique for massively parallel computers and heterogeneous
systems that will be both scalar and GPU-based.
This workshop is designed to be a forum for researchers willing to
tackle those issues, in order to exchange theoretical algorithms and
methods, implementation designs, experimental results and further
boost this growing area through cross-fertilization.
Workshop topics include but are not limited to:
- new algorithms for parallel execution of constraint solving
- new programming models
- new data-driven parallel computational models
- parallelization of existing methods for constraints solving
- parallel local search
- parallel constraint propagation techniques
- parallel methods for mathematical programming
- efficient extensions for multi-core architectures
- constraint solving on PC clusters
- constraint solving on massively parallel computers
- constraint solving on GPGPU
- applications and benchmarking
- theoretical studies, complexity and models
Paper Submission
Submissions must be formatted in the Lecture Notes in Computer Science
(LNCS) style and must be between 10 to 20 pages in length. A pdf
version should be sent to the main organizer at the email address
below.
Key Dates
Workshop Paper Submission: June 20, 2011
Notification of Acceptance: July 22, 2010
Final paper Due: August 6, 2011
Programme Committee
Salvador Abreu, University of Evora, Portugal
Alejandro Arbelaez, Microsoft Research / INRIA, France
Yves Caniou, JFLI/NII, France/Japan
Philippe Codognet, JFLI/University of Tokyo, France/Japan
Bart Demoen, University of Leuven, Belgium
Yves Deville, University of Louvain, Belgium
Daniel Diaz, University Paris-I, France
Inês Dutra, University of Porto, Portugal
Youssef Hamadi, Microsoft Research, UK
João Marques-Silva, University College Dublin, Ireland
Pedro Medeiros, New University of Lisboa, Portugal
Nikolaos Papaspyrou, National Technical University of Athens, Greece
Jean-Charles Regin, University of Nice, France
Florian Richoux, JFLI/University of Tokyo, France/Japan
Kostis Sagonas, Uppsala University, Sweden / National Technical University of Athens, Greece
Vitor Santos-Costa, University of Porto, Portugal
Vijay Saraswat, IBM TJ Watson Research Lab, USA
Christian Schulte, Royal Institute of Technology, Sweden
Christine Solnon, University of Lyon, France
Kazunori Ueda, Waseda University, Japan
Pascal Van Hentenryck, Brown University, USA
Organizing Committee
Philippe Codognet, JFLI - CNRS / University of Tokyo, France, Japan
Daniel Diaz, University of Paris-1, France
Salvador Abreu, University of Evora, Portugal
Main organizer
Philippe Codognet,
Japanese-French Laboratory for Informatics (JFLI),
CNRS / UPMC / University of Tokyo,
Information Technology Center, 2-11-16 Yayoi, Bunkyo-ku,
113-8658 Tokyo, JAPAN
Email: codognet-AT-jfli.itc.u-tokyo.ac.jp
http://webia.lip6.fr/~codognet/PMCS11
Workshop on
Parallel Methods for Constraint Solving
To be held at
CP2011
17th Int. Conf. on Principles and Practice of Constraint Programming
Perugia, Italy, September13-16
With the development of multi-core workstations, the availability of
GPGPU-enhanced systems and the access to Grid platforms and
supercomputers worldwide, parallel programming is reaching mainstream
programming in order to use in an efficient manner the computing power
at hand.
With the move towards Exascale computing this trend will develop all
the more. Constraint programming is not isolated from this phenomenon,
as bigger computing power means the ability to attack more complex
combinatorial problems.
In the last years some experiments have been done to extend constraint
solving techniques to parallel execution, but mostly on shared memory
multi-core systems (a few cores) or small PC clusters (a few
machines). The next challenge is to devise efficient constraint
solving technique for massively parallel computers and heterogeneous
systems that will be both scalar and GPU-based.
This workshop is designed to be a forum for researchers willing to
tackle those issues, in order to exchange theoretical algorithms and
methods, implementation designs, experimental results and further
boost this growing area through cross-fertilization.
Workshop topics include but are not limited to:
- new algorithms for parallel execution of constraint solving
- new programming models
- new data-driven parallel computational models
- parallelization of existing methods for constraints solving
- parallel local search
- parallel constraint propagation techniques
- parallel methods for mathematical programming
- efficient extensions for multi-core architectures
- constraint solving on PC clusters
- constraint solving on massively parallel computers
- constraint solving on GPGPU
- applications and benchmarking
- theoretical studies, complexity and models
Paper Submission
Submissions must be formatted in the Lecture Notes in Computer Science
(LNCS) style and must be between 10 to 20 pages in length. A pdf
version should be sent to the main organizer at the email address
below.
Key Dates
Workshop Paper Submission: June 20, 2011
Notification of Acceptance: July 22, 2010
Final paper Due: August 6, 2011
Programme Committee
Salvador Abreu, University of Evora, Portugal
Alejandro Arbelaez, Microsoft Research / INRIA, France
Yves Caniou, JFLI/NII, France/Japan
Philippe Codognet, JFLI/University of Tokyo, France/Japan
Bart Demoen, University of Leuven, Belgium
Yves Deville, University of Louvain, Belgium
Daniel Diaz, University Paris-I, France
Inês Dutra, University of Porto, Portugal
Youssef Hamadi, Microsoft Research, UK
João Marques-Silva, University College Dublin, Ireland
Pedro Medeiros, New University of Lisboa, Portugal
Nikolaos Papaspyrou, National Technical University of Athens, Greece
Jean-Charles Regin, University of Nice, France
Florian Richoux, JFLI/University of Tokyo, France/Japan
Kostis Sagonas, Uppsala University, Sweden / National Technical University of Athens, Greece
Vitor Santos-Costa, University of Porto, Portugal
Vijay Saraswat, IBM TJ Watson Research Lab, USA
Christian Schulte, Royal Institute of Technology, Sweden
Christine Solnon, University of Lyon, France
Kazunori Ueda, Waseda University, Japan
Pascal Van Hentenryck, Brown University, USA
Organizing Committee
Philippe Codognet, JFLI - CNRS / University of Tokyo, France, Japan
Daniel Diaz, University of Paris-1, France
Salvador Abreu, University of Evora, Portugal
Main organizer
Philippe Codognet,
Japanese-French Laboratory for Informatics (JFLI),
CNRS / UPMC / University of Tokyo,
Information Technology Center, 2-11-16 Yayoi, Bunkyo-ku,
113-8658 Tokyo, JAPAN
Email: codognet-AT-jfli.itc.u-tokyo.ac.jp
http://webia.lip6.fr/~codognet/PMCS11
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Last modified: 2011-05-20 22:21:55