Paper
28 November 1984 Selecting Systolic Designs Using Linear Transformations Of Space-Time
Peter R. Cappello, Kenneth Steiglitz
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Abstract
Cellular computations (i.e., systolic or wavefront computations) are embedded in a vector space, one of whose dimensions models time, and the others, space. Cellular computations that are related by a linear transformation may have different properties with respect to input/output schedules, chip area, communication topology, latency, period, and the presence/absence of broadcasting and pipelining. Linear transformations of space-time are used to explore design alternatives in a formal way. Cellular computations for convolution and matrix product are used to illustrate this linear transformation technique.
© (1984) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peter R. Cappello and Kenneth Steiglitz "Selecting Systolic Designs Using Linear Transformations Of Space-Time", Proc. SPIE 0495, Real-Time Signal Processing VII, (28 November 1984); https://doi.org/10.1117/12.944011
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Cited by 19 scholarly publications.
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KEYWORDS
Convolution

Product engineering

Signal processing

Aluminum

Solids

Diamond

Very large scale integration

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