DocumentCode
1050099
Title
Evolutionary Benchmark Subsetting
Author
Jin, Zhanpeng ; Cheng, Allen C.
Author_Institution
Univ. of Pittsburgh, Pittsburgh, PA
Volume
28
Issue
6
fYear
2008
Firstpage
20
Lastpage
36
Abstract
To improve simulation efficiency and relieve burdened benchmarking efforts, this research proposes a survival-of-the-fittest evolutionary methodology. The goal is to subset any given benchmark suite based on its inherent workload characteristics, desired workload space coverage, and total execution time. Given a user-specified workload space coverage threshold, the proposed technique can systematically yield the "fittest" time-efficient benchmark subset.
Keywords
benchmark testing; computer architecture; evolutionary computation; benchmark suite; evolutionary benchmark subsetting; fittest time-efficient benchmark subset; survival-of-the-fittest evolutionary; user-specified workload space coverage threshold; Biological information theory; Biological system modeling; Computational modeling; Energy consumption; Microarchitecture; Process design; Time factors;
fLanguage
English
Journal_Title
Micro, IEEE
Publisher
ieee
ISSN
0272-1732
Type
jour
DOI
10.1109/MM.2008.87
Filename
4731172
Link To Document