Computer Science

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The CS Scientific Data Management and Analysis at Extreme Scale call for proposals was issued January, 29, 2010 and closed March 18, 2010.  Ten projects were awarded funding for a total of $5 million per year.

The following proposals were selected for funding:

Adding Data Management Services to Parallel File Systems (518KB)

 • University of California, Santa Cruz; Lawrence Livermore National Laboratory

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An Information-Theoretic Framework for Enabling Extreme-Scale Science Discovery (442KB)

 • Ohio State University; Polytechnic Institute of New York University; Argonne National Laboratory

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Dax: Data Analysis at Extreme (797KB)

 • Sandia National Laboratories; Kitware, Inc.; University of California, Davis

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Dynamic Non-Hierarchical File Systems for Exascale Storage (102KB)

 • University of California, Santa Cruz

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Enabling Scientific Discovery in Exascale Simulations (937KB)

 • Lawrence Livermore National Laboratory; University of Minnesota

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ExaHDF5: An I/O Platform for Exascale Data Models, Analysis and Performance (408KB)

 • Lawrence Berkeley National Laboratory; Pacific Northwest National Laboratory

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Graph-Based 3D Flow Field Visual Analysis (278KB)

 • Pacific Northwest National Laboratory; Ohio State University

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Runtime System for I/O Staging in Support of In-Situ Processing of Extreme Scale Data (261KB)

 • Oak Ridge National Laboratory; Lawrence Berkeley National Laboratory; Georgia Institute of Technology

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Scalable and Power Efficient Data Analytics for Hybrid Exascale Systems (374KB)

 • Northwestern University; Lawrence Berkeley National Laboratory; Oak Ridge National Laboratory

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Topology-based Visualization and Analysis of Multi-dimensional Data and Time-varying Data at the Extreme Scale (49KB)

 • Lawrence Berkeley National Laboratory

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