4th International Workshop on
Parallel Matrix Algorithms and Applications (PMAA'06)
September 7-9, 2006, IRISA, Rennes, France.
- the deadline for submitting to the Special Issue of Parallel
Computing has been extended to January 5, 2007 (see the "Publication"
link, in the left frame).
- the PMAA'06 young researcher prize was awarded to Benjamin Braconnier,
for his presentation entitled: "Efficient technique for solving low Mach number
compressible multiphase problems".
(the committee's statement)
- photos of the conference (talks and social event) can be
If you want a particular photo to be removed, please send your request to the webmaster:
- links to the presentations (PDF files) have been added in the
HTML scientific program.
- the link to the previous workshop (PMAA'04) has been removed, because
the web site no longer exists; also, some links have been disabled.
The aim of the Workshop is to provide a forum for an exchange of recent ideas,
insights and experiences in
different areas of parallel computing in which matrix algorithms are employed,
focusing particularly on those which have not yet received wide exposure. The
Workshop will bring together experts and practitioners from diverse disciplines
with a common interest in matrix computation, in the relaxing, yet stimulating,
setting of the historical capital of Brittany, Rennes. In addition to formal
presentations and plenary talks by invited speakers, time will be available for
informal discussions and interactions. Topics of interest include, but are not
limited to, the following:
Authors are invited to submit an extended abstract presenting original research
on any aspect of the workshop themes. A prize of 300 euros, sponsored by the
Metivier Foundation, will be awarded for the best student presentation. Some
travel grants are available for Ph.D. students and young researchers in need of
- Parallel algorithms for dense, structured and sparse matrices.
- Parallel environments and tools for implementing applications.
- Large scale applications from diverse fields which have an emphasis on
parallel matrix computation.
- Performance modeling.
Laura Grigori and Bernard Philippe, INRIA Rennes
- Mark Adams, Columbia University, USA
- Erik Boman, Sandia National Laboratories, USA
- Erik Elmroth, Umea University, Sweden
- Gerard Meurant, CEA, France
- Jari Toivanen, Jyvaskyla University, Finland
P. Arbenz (CH), O. Beaumont (FR), M. Berry (USA), É. Blayo (FR),
M. Clint (UK), M. E. Daoudi (MR), T. Davis (USA), M. Dayde (FR),
L. Desbat (FR), E. Gallopoulos (GR), L. Giraud (FR), E. Kamgnia (CMR),
E. Kontoghiorghes (CY), G. Meurant (FR), M. Moakher (TUN), N. Nassif (LB),
E.G. Ng (USA), G. Oksa (SVK), M. Paprzycki (USA), S. Petiton (FR),
T. Rauber (DE), J.-L. Roch (FR), J. Roman (FR), Y. Saad (USA),
A. Sameh (USA), D. di Serafino (IT), M. Sosonkina (USA), A. Stewart (UK),
D. Tromeur-Dervout (FR), D. Trystram (FR), M. Vajtersic (AUT),
R. Wyrzykowski (PL)
Local organizing committee: É. Canot, J. Erhel, L. Grigori, F. Guyomarc'h,
E. Lebret, B. Philippe, P. Yanev
Technical matters: email@example.com
last modified: Oct 4 2006