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Algorithms and Parallel Computing
book

Algorithms and Parallel Computing

by Fayez Gebali
April 2011
Intermediate to advanced
364 pages
10h 8m
English
Wiley
Content preview from Algorithms and Parallel Computing

11.2 MATRIX MULTIPLICATION ALGORITHM

Assume we are given two compatible matrices M2 and M3 of dimensions I × K and K × J, respectively. Their product is matrix M1 of dimension I × J. The matrix multiplication algorithm can be expressed as

(11.1) c11e001

This equation can be expressed in any serial algorithm (i.e., any computer code) as three nested loops. An outer loop iterates over the index i; the next inner loop iterates over the index j. The innermost loop iterates over the index k.

Variable M1 in the above equation is an output variable, while variables M2 and M3 are input variables. The above matrix multiplication algorithm has three indices: i, j, and k, and we can think of these indices as coordinates of a point in a 3-D volume. We organize our indices in the form of a vector:

(11.2) c11e002

for given values of the indices, the vector corresponds to a point in the Z3 space [9].

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Publisher Resources

ISBN: 9780470934630Purchase book