Sponsored by the SIAM Activity Group on Computational Science and Engineering.

SIAM Conference on Computational Science and Engineering (CSE09)

March 2-6, 2009
Miami Hilton Hotel, Miami, Florida

Hilton Miami Downtown Is Sold Out

 The Miami Hilton Hotel is now sold out
Please contact A Room With A View for information on the designated SIAM overflow hotel
They will secure the lowest available rates within walking distance of The Hilton Hotel
A Room With A View can be reached at 1-800-780-4343
International Attendees can reach them at [email protected]
This is a FREE SERVICE for all SIAM attendees

Program Committee

Richard Arthur, GE Global Research
Tina Eliassi-Rad, Lawrence Livermore National Laboratory
Kirk Jordan, (co-chair) IBM Strategic Growth Business/Deep Computing
Misha Kilmer, Tufts University
Suzanne Lenhart, University of Tennessee, Knoxville
Tim Mattson, Intel Corporation
Juan Meza, Lawrence Berkeley National Laboratory
Alex Pothen, Purdue University
Uli Ruede, Universität Erlangen-Nürnberg, Germany
James R. Stewart, Sandia National Laboratories
Frank Tobin, Tobin Consulting Group
Carol Woodward, (co-chair) Lawrence Livermore National Laboratory


Computational Science and Engineering (CS&E) is now widely accepted, along with theory and experiment, as a crucial third mode of scientific investigation and engineering design. Aerospace, automotive, biological, chemical, semiconductor, and other industrial sectors now rely on simulation for technical decision support. For government agencies also, CS&E has become an essential support for decisions on resources, transportation, and defense. Finally, in many new areas such as medicine, the life sciences, management and marketing (e.g. data- and stream mining), and finance techniques and algorithms from CS&E are of growing importance.

CS&E is by nature interdisciplinary. It grows out of physical applications and it depends on computer architecture, but at its heart are powerful algorithms. Much of CS&E has involved analysis, but the future surely includes optimization and design, especially in the presence of uncertainty. Another mathematical frontier is the assimilation of very large data sets through such techniques as adaptive multiresolution, automated feature search, and low-dimensional parameterization.

SIAM is conducting this conference on CS&E to draw attention to the tremendous range of major computational efforts on large problems in science and engineering, to promote the interdisciplinary culture required to meet these large-scale challenges, and to encourage the training of the next generation of computational scientists.

Funding Agency

SIAM and the Conference Organizing Committee wish to extend their thanks and appreciation to the U.S. National Science Foundation for its support of this conference.


Important Deadlines

October 1, 2008 September 15, 2008:  Minisymposium proposals
October 8, 2008 September 15, 2008:  Abstracts for contributed and minisymposium speakers

February 2, 2009

February 2, 2009

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