Bispectrum signal processing on HNC`s SIMD numerical array processor (SNAP)
- HNC, Inc., San Diego, CA (United States)
- Tracor Applied Sciences, Inc., Austin, TX (United States)
Supercomputers and parallel processors are increasingly being applied to problems traditionally described as signal and image processing problems. The primary activities occurring in either processing area are detection, enhancement, and classification of signals embedded in additive noise. The bispectrum is a processing technique that can be used for improving the detection of signals in noise. It is an order N{sup 2} 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 GIGA FLOP per million dollars.
- OSTI ID:
- 46250
- Report Number(s):
- CONF-931115-; TRN: IM9522%%252
- Resource Relation:
- Conference: Supercomputing conference on high performance computing and communications, Portland, OR (United States), 15-19 Nov 1993; Other Information: PBD: 1993; Related Information: Is Part Of Supercomputing `93: Proceedings; PB: 961 p.
- Country of Publication:
- United States
- Language:
- English
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