SLAPP: A systolic linear algebra parallel processor

Journal Article · Wed Jul 01 00:00:00 EDT 1987 · Computer; (United States)

DOI:https://doi.org/10.1109/MC.1987.1663619· OSTI ID:5804084

Drake, B L; Luk, F T; Speiser, J M; Symanski, J J ^[1]

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1. Naval Ocean Systems Center and Cornell Univ.

Systolic array computer architectures provide a means for fast computation of the linear algebra algorithms that form the building blocks of many signal-processing algorithms, facilitating their real-time computation. For applications to signal processing, the systolic array operates on matrices, an inherently parallel view of the data, using numerical linear algebra algorithms that have been suitably parallelized to efficiently utilize the available hardware. This article describes work currently underway at the Naval Ocean Systems Center, San Diego, California, to build a two-dimensional systolic array, SLAPP, demonstrating efficient and modular parallelization of key matric computations for real-time signal- and image-processing problems.

• OSTI ID: 5804084
• Journal Information: Computer; (United States), Vol. 20:7; ISSN 0018-9162
• Country of Publication: United States
• Language: ENGLISH

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
ARRAY PROCESSORS
ALGORITHMS
COMPUTER ARCHITECTURE
PARALLEL PROCESSING
IMAGE PROCESSING
ALGEBRA
DATA PROCESSING
EFFICIENCY
MATRICES
REAL TIME SYSTEMS
SIGNALS
990210* - Supercomputers- (1987-1989)