Fuzzy scheduling in compilers optimizations

Hammami, Omar

doi:10.1109/isuma.1995.527753

Cited by 4 publications

(1 citation statement)

References 24 publications

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“…In compiler optimization, fuzzy set theory has been used to represent unpredictable real-time events and imprecise knowledge about variables [8]. Lee et.al.…”

Section: Introductionmentioning

confidence: 99%

Resource Estimation Algorithm Under Impreciseness Using Inclusion Scheduling

Chantrapornchai

Tongsima

2001

Int. J. Found. Comput. Sci.

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In this paper, we propose a resource estimation algorithm which considers imprecise system characteristics and multiple design attributes. The algorithm is based on a polynomial-time process called inclusion scheduling. Inclusion scheduling takes imprecise system information and generates an averagely good schedule with respect to a design goal. The schedule is associated with various properties. These information are used to determine the initial resource bounds subject to the design goal. Experimental results showing the effectiveness of the approach by comparing the design configuration generated by the traditional algorithm and the approach are presented. Int. J. Found. Comput. Sci. 2001.12:581-598. Downloaded from www.worldscientific.com by QUEEN'S UNIVERSITY on 02/03/15. For personal use only.

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“…In compiler optimization, fuzzy set theory has been used to represent unpredictable real-time events and imprecise knowledge about variables [8]. Lee et.al.…”

Section: Introductionmentioning

confidence: 99%