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DOE (non-SciDAC) Collaborators

by David E. Bernholdt last modified Jun 01, 2008 05:08 PM

In alphabetical order by collaboration title
CCA Synergia by Cindy Sonewald — last modified Jun 01, 2008 05:08 PM
The primary goal of this collaboration is to foster the beginning of a component community in computational accelerator physics, including creating initial collective effects-based components for an accelerator physics component toolkit.
CIFTS: Coordinated Infrastructure for Fault Tolerant Systems by David E. Bernholdt — last modified Oct 21, 2008 08:36 AM
Providing the connections to allow the development of component-based applications capable of taking an active role in responding to faults in HPC systems.
Co-Op: Cooperative Programming by Cindy Sonewald — last modified Jun 01, 2008 05:08 PM
Provide distributed computing infrastructure for MPMD framework.
DistComp: Distributed CCA Components and Grid Services for Scientific Computing by Cindy Sonewald — last modified Jun 01, 2008 05:08 PM
This collaboration effort aims to provide support for advanced language constructs in component-based HPC application environments.
NWChem by Cindy Sonewald — last modified Jun 01, 2008 05:08 PM
Multi-level parallelism in NWChem to achieve petaflop-level scalability
ROSE by Cindy Sonewald — last modified Jun 01, 2008 05:08 PM
 
SPARSKIT-CCA by Cindy Sonewald — last modified Jun 01, 2008 05:08 PM
SPARSKIT-CCA is a suite of CCA components for the iterative solution of sparse linear systems. Major components implement various preconditioners and accelerators available in the original SPARSKIT and its modern extension, ITSOL. The list of preconditioners may be easily extended due to the standard interfaces developed for SPARSKIT-CCA.
TAU by Cindy Sonewald — last modified Jun 01, 2008 05:08 PM
The collaboration between the TAU group at University of Oregon and the TASCS center has the goal of developing performance monitoring and analysis components, with emphasis on dynamic configuration and adaptation of computational components during the execution of a scientific application.
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