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Proceedings Paper

Selecting Systolic Designs Using Linear Transformations Of Space-Time
Author(s): Peter R. Cappello; Kenneth Steiglitz
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Paper 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.

Paper Details

Date Published: 28 November 1984
PDF: 11 pages
Proc. SPIE 0495, Real-Time Signal Processing VII, (28 November 1984); doi: 10.1117/12.944011
Show Author Affiliations
Peter R. Cappello, University of California (United States)
Kenneth Steiglitz, Princeton University (United States)

Published in SPIE Proceedings Vol. 0495:
Real-Time Signal Processing VII
Keith Bromley, Editor(s)

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