Title :
Bispectrum signal processing on HNC´s SIMD numerical array processor (SNAP)
Author :
Means, Robert W. ; Wallach, Bret ; Busby, David ; Lengel, Robert C., Jr.
Author_Institution :
HNC, Inc., San Diego, CA, USA
Abstract :
The bispectrum is a processing technique that can be used for improving the detection of signals in noise. It is an order N2 operation performed over a two dimensional frequency plane and, because of computational demands, has not been used much in practice. HNC has developed a commercially available SIMD numerical array processor (SNAP) and implemented Tracor´s computationally demanding bispectrum signal processing code as a submission for the Gordon Bell prize. The SNAP is a SIMD array of parallel processors connected in a linear ring. A SNAP system with 32 processors (SNAP-32) demonstrated a performance of over 7.5 GIGAFLOP per million dollars.
Keywords :
array signal processing; parallel processing; performance evaluation; signal detection; 7.5 GFLOPS; HNC; SIMD numerical array processor; SNAP; bispectrum signal processing code; computational demands; linear ring; order N2 operation; parallel processors; processor performance; signal detection; two dimensional frequency plane; Additive noise; Array signal processing; Detection algorithms; Discrete Fourier transforms; Frequency domain analysis; Frequency estimation; Image processing; Signal detection; Signal processing; Supercomputers;
Conference_Titel :
Supercomputing '93. Proceedings
Print_ISBN :
0-8186-4340-4
DOI :
10.1109/SUPERC.1993.1263503