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Author Vahid, F. ♦ Gajski, D.D.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1995
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations
Subject Keyword Hardware ♦ Computer science ♦ Algorithm design and analysis ♦ Clustering algorithms ♦ Partitioning algorithms ♦ Software standards ♦ Asynchronous transfer mode ♦ Switching systems ♦ Application specific integrated circuits ♦ Time factors
Abstract An important system design task is the partitioning of system functionality for implementation among multiple system components, including partitions among hardware and software components. We present a set of closeness metrics to aid such partitioning. These metrics can be used by a designer or by automated algorithms, to cluster together functional objects that should be implemented on the same component. We summarize experiments for determining the best combination of metrics for particular uses, and we demonstrate the advantages of clustering with the closeness metrics before applying hardware or hardware/software partitioning.
Description Author affiliation: Dept. of Comput. Sci., California Univ., Riverside, CA, USA (Vahid, F.)
ISBN 0818671564
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1995-09-18
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 739.85 kB
Page Count 6
Starting Page 328
Ending Page 333


Source: IEEE Xplore Digital Library