SDM

Scientific Data Management and Analysis at Extreme Scale
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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

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

An Information-Theoretic Framework for Enabling Extreme-Scale Science Discovery

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

Dax: Data Analysis at Extreme

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

Dynamic Non-Hierarchical File Systems for Exascale Storage

 • University of California, Santa Cruz
 

Enabling Scientific Discovery in Exascale Simulations

 • Lawrence Livermore National Laboratory; University of Minnesota
 

ExaHDF5: An I/O Platform for Exascale Data Models, Analysis and Performance

 • Lawrence Berkeley National Laboratory; Pacific Northwest National Laboratory
 

Graph-Based 3D Flow Field Visual Analysis

 • Pacific Northwest National Laboratory; Ohio State University
 

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

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

Scalable and Power Efficient Data Analytics for Hybrid Exascale Systems

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

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

 • Lawrence Berkeley National Laboratory
 
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