Title :
Designing Systolic Algorithms Using Sequential Machines
Author :
Ibarra, Oscar H. ; Kim, Sam M. ; Palis, Michael A.
Author_Institution :
Department of Computer Science, University Of Minnesota, Minneapolis, MN 55455.
fDate :
6/1/1986 12:00:00 AM
Abstract :
We present a tool that is useful in the design and analysis of systolic systems. Specifically, we give characterizations of systolic arrays in terms of (single processor) sequential machines which are easier to program and to analyze. We give several examples to illustrate the utility of the design tool. In particular, we show how systolic designs for such problems as integer bitwise multiplication, dynamic programming, and language recognition can easily be derived using the characterizations. We also present some new results concerning the properties and computational power of systolic arrays which can be obtained using the characterizations.
Keywords :
Algorithm design and analysis; Character recognition; Computer architecture; Concurrent computing; Dynamic programming; Hardware; Power system modeling; Signal design; Systolic arrays; Very large scale integration; Characterizations; VLSI; design tool; sequential machines; systolic algorithms;
Journal_Title :
Computers, IEEE Transactions on
DOI :
10.1109/TC.1986.5009430