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NAS Improves Code Performance by Factor of 7

06.01.07
graph showing scaling results on NDMFTs codeIn collaboration with physicist James Freericks of Georgetown University, Sherry Chang and Johnny Chang (both in the NAS Division, Computer Sciences Corp.) recently co-authored a paper on some impressive code optimization and scaling work done on Freericks' research code, NDMFTS.

The paper, submitted for the Supercomputing Conference's 2007 Gordon Bell prize in the special achievements in scalability category, describes NAS' work to optimize and scale NDMFTS -- ultimately achieving a 7.3-fold speedup and 8.53 teraflops (66% of peak) sustained performance on 2,032 processors. This is the highest sustained teraflop performance of any application run on the Columbia supercomputer.

The novel aspect of the work is that the optimization is performed with portable Fortran code and math libraries, demonstrating that major scientific problems can achieve significant fractions of peak speed in sustained performance with efficient, portable code. NDMFTS solves the nonequilibrium quantum-mechanical problem and then self-consistently solves this complicated time-dependent problem.


For more information about this activity, contact: Sherry Chang, schang@nas.nasa.gov or
or Johnny Chang, johnny@nas.nasa.gov

For information about NASA and agency programs on the Web, visit http://www.nasa.gov/home/


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Last Updated: August 2, 2007