DocumentCode :
2953574
Title :
Automatic detection of recurring operation patterns
Author :
Arnold, Marnix ; Corporaal, Henk
Author_Institution :
Dept. of Electr. Eng., Delft Univ. of Technol., Netherlands
fYear :
1999
fDate :
1999
Firstpage :
22
Lastpage :
26
Abstract :
An important problem in the area of processor design for embedded systems is determining the proper instruction set architecture. Trade-offs have to be made between programmability and reusability of dedicated hardware for special functionality on the one hand, and a high performance dedicated instruction set on the other hand. This paper addresses the question of how to find specialized ISA extensions for a set of applications. We describe the application of a new pattern matching technique to the problem of the identification of recurring patterns of operations. By implementing frequently occurring operation patterns in hardware, and using this hardware as special function units, a fine-grained hardware/software partitioning can be found. The fine granularity, and the fact that patterns are taken from a number of different target applications rather than a single one, increase the opportunities for reuse of the special-purpose hardware. We illustrate our technique with experiments on a number of benchmarks from the DSP domain
Keywords :
embedded systems; hardware-software codesign; instruction sets; pattern matching; automatic detection; dedicated hardware; embedded systems; hardware/software partitioning; instruction set architecture; pattern matching; processor design; programmability; recurring operation patterns; reusability; Application software; Computer architecture; Embedded system; Hardware; Laboratories; Libraries; Pattern matching; Permission; Process design; Tree graphs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hardware/Software Codesign, 1999. (CODES '99) Proceedings of the Seventh International Workshop on
Conference_Location :
Rome
ISSN :
1092-6100
Print_ISBN :
1-58113-132-1
Type :
conf
DOI :
10.1109/HSC.1999.777385
Filename :
777385
Link To Document :
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