The PARSEC benchmark suite: characterization and architectural implications
C. Bienia, S. Kumar, J. Singh, and K. Li. Proceedings of the 17th international conference on Parallel architectures and compilation techniques, page 72--81. New York, NY, USA, ACM, (2008)
DOI: 10.1145/1454115.1454128
Abstract
This paper presents and characterizes the Princeton Application Repository for Shared-Memory Computers (PARSEC), a benchmark suite for studies of Chip-Multiprocessors (CMPs). Previous available benchmarks for multiprocessors have focused on high-performance computing applications and used a limited number of synchronization methods. PARSEC includes emerging applications in recognition, mining and synthesis (RMS) as well as systems applications which mimic large-scale multithreaded commercial programs. Our characterization shows that the benchmark suite covers a wide spectrum of working sets, locality, data sharing, synchronization and off-chip traffic. The benchmark suite has been made available to the public.
%0 Conference Paper
%1 Bienia:2008:PBS:1454115.1454128
%A Bienia, Christian
%A Kumar, Sanjeev
%A Singh, Jaswinder Pal
%A Li, Kai
%B Proceedings of the 17th international conference on Parallel architectures and compilation techniques
%C New York, NY, USA
%D 2008
%I ACM
%K PARSEC benchmark parallel
%P 72--81
%R 10.1145/1454115.1454128
%T The PARSEC benchmark suite: characterization and architectural implications
%X This paper presents and characterizes the Princeton Application Repository for Shared-Memory Computers (PARSEC), a benchmark suite for studies of Chip-Multiprocessors (CMPs). Previous available benchmarks for multiprocessors have focused on high-performance computing applications and used a limited number of synchronization methods. PARSEC includes emerging applications in recognition, mining and synthesis (RMS) as well as systems applications which mimic large-scale multithreaded commercial programs. Our characterization shows that the benchmark suite covers a wide spectrum of working sets, locality, data sharing, synchronization and off-chip traffic. The benchmark suite has been made available to the public.
%@ 978-1-60558-282-5
@inproceedings{Bienia:2008:PBS:1454115.1454128,
abstract = {This paper presents and characterizes the Princeton Application Repository for Shared-Memory Computers (PARSEC), a benchmark suite for studies of Chip-Multiprocessors (CMPs). Previous available benchmarks for multiprocessors have focused on high-performance computing applications and used a limited number of synchronization methods. PARSEC includes emerging applications in recognition, mining and synthesis (RMS) as well as systems applications which mimic large-scale multithreaded commercial programs. Our characterization shows that the benchmark suite covers a wide spectrum of working sets, locality, data sharing, synchronization and off-chip traffic. The benchmark suite has been made available to the public.},
acmid = {1454128},
added-at = {2012-09-21T19:19:19.000+0200},
address = {New York, NY, USA},
author = {Bienia, Christian and Kumar, Sanjeev and Singh, Jaswinder Pal and Li, Kai},
biburl = {https://www.bibsonomy.org/bibtex/2a821f93b83fb8ac6950047eadc4e9aa5/ytyoun},
booktitle = {Proceedings of the 17th international conference on Parallel architectures and compilation techniques},
doi = {10.1145/1454115.1454128},
interhash = {679d442ad4189082ef979b41f67d377d},
intrahash = {a821f93b83fb8ac6950047eadc4e9aa5},
isbn = {978-1-60558-282-5},
keywords = {PARSEC benchmark parallel},
location = {Toronto, Ontario, Canada},
numpages = {10},
pages = {72--81},
publisher = {ACM},
series = {PACT '08},
timestamp = {2015-12-12T14:22:16.000+0100},
title = {The {PARSEC} benchmark suite: characterization and architectural implications},
year = 2008
}