Parsec benchmark how to#

SPLASH2 and SPLASH2圎xisting SPLASH2 using the same frameworkUse parsecmgmtto manage, build, and run SPLASH2x (joint work with Prof. PARSEC 3.0 is coming soonNew framework Support network workloadsSupport citations to encourage contributionīlackscholes, bodytrack, canneal, dedup, facesim, ferret, fluidanimate, freqmine, vips, History of PARSECJan 2008 PARSEC 1.0 12 workloadsFeb 2009 PARSEC 2.0One new workload, raytraceAug 2009 PARSEC 2.1 Impact of PARSECGoogle Scholar Citations: 400+ The first version of PARSEC was created by Intel and Princeton University.We would like PARSEC to be a community project.Many people and institutions have already contributed. Other An opensource parallel benchmark suite of emerging applications for evaluating multicore and multiprocessor systemsApplication domains: financial, computer vision, physical modeling, future media, contentbased search, deduplicationCurrent releasePARSEC 2.1 (13 applications) The parsecmgmttoolBuilding & Running workloadsConfiguration filesīenchmark Suite for ChipMultiprocessorsStarted as a cooperation between Intel and Princeton University, many more have contributed since thenFreely available at:You can use it for your research OverviewHistory, Impact, Whats NewWorkloadsResearch on PARSEC The PARSEC Benchmark Suite TutorialPARSEC 3.0 YungangBao, Christian BieniaKai LiPrinceton University PB - Institute of Electrical and Electronics Engineers Inc.Presentation on theme: 'The PARSEC Benchmark Suite TutorialPARSEC 3.0 YungangBao, Christian Bi'- Presentation transcript T3 - Parallel Architectures and Compilation Techniques - Conference Proceedings, PACTīT - PACT'10 - Proceedings of the 19th International Conference on Parallel Architectures and Compilation Techniques We offer guidelines that PARSEC users can use to choose suitable simulation inputs for their scientific studies in a way that maximizes the accuracy of the simulation subject to a time constraint.

Parsec benchmark how to#

The paper demonstrates how to use the proposed methodology to create several simulation input sets for the PARSEC benchmarks and how to quantify and measure their approximation error. We present a framework that takes the novel view that benchmark inputs should be considered approximations of their original, full-sized inputs. We offer guidelines that PARSEC users can use to choose suitable simulation inputs for their scientific studies in a way that maximizes the accuracy of the simulation subject to a time constraint.ĪB - A good benchmark suite should provide users with inputs that have multiple levels of fidelity.

N2 - A good benchmark suite should provide users with inputs that have multiple levels of fidelity. T1 - Scaling of the PARSEC benchmark inputs