Performance of a parallel bispectrum estimation code

Details Performance of a parallel bispectrum estimation code Performance of a parallel bispectrum estimation code

Dec 1991

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1991spie.1566..329c&link_type=abstract

Proc. SPIE Vol. 1566, p. 329-340, Advanced Signal Processing Algorithms, Architectures, and Implementations II, Franklin T. Luk;

Computer Science

Performance

1

Scientific paper

We compare the performance of three parallel supercomputers executing a bispectrum estimation code used to remove distortions from astronomical data. We discuss the issues in parallelizing the code on an 8-processor shared-memory CRAY Y-MP and a 1024-processor distributed-memory nCUBE machine. Results show that elapsed times on the nCUBE machine are comparable to those on the CRAY Y-MP. Execution of the nCUBE was more than 40 times faster than that of a single processor CRAY-2 resulting in more than 50 times better cost performance. Cost performance on the nCUBE is more than 25 times better than an 8- processor CRAY Y-MP.

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