(http://www.scl.ameslab.gov/ctpsm07)
held at the
 7th INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING
AND APPLIED MATHEMATICS (PPAM'07)
Gdansk, Poland, September 9-12, 2007
(http://ppam.pcz.pl/)

Many aspects and problems in High-Performance Scientific Computing may benefit from the use of combinatorial tools. These tools and related techniques are already common in sparse matrix computations. Their importance increases further with the emergence of novel parallel architectures and algorithms targeting cutting-edge problems in science and engineering. Such tools as graph algorithms facilitate efficient reordering or partitioning of a sparse matrix or enable its compressed representation. Graph partitioning algorithms are often used as a front-end step preceding different operations. Their goal is to distribute a matrix (or a mesh) on high performance parallel computers in a suitable way for parallel execution, such that the load is balanced and the interprocessor communication is minimized. Often there are additional constraints, when for example, a scientific simulation requires that the graph partitioning is dynamic as the load changes dynamically. The aim of the Workshop is to provide a forum for an exchange of recent ideas, insights, and experiences on the following topics of interest:

PAPER SUBMISSION AND PUBLICATION:
Authors should submit full papers to ctpsm@scl.ameslab.gov by April 30, 2007. Papers are not to exceed 10 pages in Springer LNCS format. Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. Papers presented at the workshop will be included into the PPAM'07 conference proceedings published by Springer-Verlag in the LNCS series.

IMPORTANT DATES:
Submission of Papers:        April 30, 2007 [ Extended to May 15, 2007 ]
Notification of Acceptance: June 15, 2007 [ Extended to June 30, 2007 ]
PPAM'07 conference:          September 9-12, 2007
Camera-Ready Papers:       October 15, 2007

WORKSHOP ORGANIZERS:
Laura Grigori (INRIA, France) (laura.grigori@inria.fr)
Masha Sosonkina (Ames Laboratory and Iowa State University, USA) (masha@scl.ameslab.gov)

PROGRAM COMMITTEE:
Erik Boman (Sandia National Laboratories, USA)
Xing Cai (Simula Research Laboratory, Norway)
Bernard Philippe (IRISA-INRIA, France)
Stephane Pralet (SAMTECH, Belgium)
Jean Roman (LaBRI-INRIA Futurs, France)
Yousef Saad (University of Minnesota, USA)
Jennifer Scott (Rutherford Appleton Laboratory, UK)
Bora Ucar (CERFACS, France)