DocumentCode
34948
Title
MINIME: Pattern-Aware Multicore Benchmark Synthesizer
Author
Deniz, Etem ; Sen, Alper ; Kahne, Brian ; Holt, Jim
Author_Institution
Dept. of Comput. Eng., Bogazici Univ., Istanbul, Turkey
Volume
64
Issue
8
fYear
2015
fDate
Aug. 1 2015
Firstpage
2239
Lastpage
2252
Abstract
We present a novel automated multicore benchmark synthesis framework with characterization and generation components. Our framework uses parallel patterns in capturing important characteristics of multi-threaded applications and generates synthetic multicore benchmarks from those applications. The resulting synthetic benchmarks are small, fast, portable, human-readable, and they accurately reflect microarchitecture dependent and independent characteristics of the original multicore applications. Also, they can use either Pthreads or MCA libraries. We implement our techniques in the MINIME tool and generate synthetic benchmarks from PARSEC, Rodinia, and EEMBC MultibenchTM benchmarks on x86 and Power Architecture® platforms. We show that synthetic benchmarks are representative across a range of multicore machines with different architectures, while being on average 21× faster and 14× smaller than original benchmarks.
Keywords
multi-threading; multiprocessing systems; software libraries; EEMBC Multibench benchmarks; MCA libraries; MINIME tool; PARSEC; Power Architecture platforms; Pthreads; Rodinia; automated multicore benchmark synthesis framework; characterization components; generation components; human-readable; microarchitecture dependent characteristics; microarchitecture independent characteristics; multicore applications; multicore machines; multithreaded applications; parallel patterns; pattern-aware multicore benchmark synthesizer; synthetic multicore benchmarks; x86 platforms; Benchmark testing; Instruction sets; Libraries; Message systems; Microarchitecture; Multicore processing; Pipelines; Multicore systems; parallel patterns; synthetic benchmarks;
fLanguage
English
Journal_Title
Computers, IEEE Transactions on
Publisher
ieee
ISSN
0018-9340
Type
jour
DOI
10.1109/TC.2014.2349522
Filename
6880329
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