Both now and increasingly for the foreseeable future, scientists must address the challenges posed by petascale data sets. These sets may be produced by high-resolution simulations on massively parallel computers in complex applications, such as climate modeling and fusion calculations. They may also result from experiments and observational studies, such as those in cosmology and high-energy physics. Extracting scientific knowledge from these massive data sets has become both increasingly difficult and increasingly necessary as computer systems have grown larger and experimental devices more sophisticated. Mathematical techniques from several fields, including but not restricted to statistics, machine learning, image analysis, and pattern recognition, have long been used to analyze scientific data. However, many existing methods fail to provide adequate robustness, scalability, and combinatorial tractability when applied to petascale data sets.
The goal of this workshop is to engage mathematical scientists and applications researchers to define a research agenda for developing the next-generation mathematical techniques needed to meet the challenges posed by petascale data sets. Specific objectives are to:
- understand the needs of various scientific domains,
- delineate appropriate mathematical approaches and techniques,
- determine the current state-of-the-art in these approaches and techniques, and
- identify the gaps that must be addressed to enable the effective analysis of large, complex data sets in the next five to ten years.
A principal outcome of the workshop will be a report submitted to the Applied Mathematics Program in DOE’s Office of Advanced Scientific Computing Research that will include recommendations for developing a research agenda.
Dr. Homer Walker
Program Manager for Applied Mathematics
Office of Advanced Scientific Computing Research
Office of Science
U.S. Department of Energy
http://www.sc.doe.gov/ascr/Research/AppliedMath.html
walker@ascr.doe.gov
(301) 903-1465
Organizing Committee:
Philip Kegelmeyer, Sandia National Laboratories
Chair Alyson Wilson, Los Alamos National Laboratory
Robert Calderbank, Princeton University
Terence Critchlow, Pacific Northwest National Laboratory
Chandrika Kamath, Lawrence Livermore National Laboratory
Nagiza Samatova, North Carolina State University
Leland Jameson, National Science Foundation
Juan Meza, Lawrence Berkeley Laboratory
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