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TP-PARSEC: A Task Parallel PARSEC Benchmark Suite
https://ipsj.ixsq.nii.ac.jp/records/193945
https://ipsj.ixsq.nii.ac.jp/records/19394541fe3535-d48b-455b-9f26-f8cb72cde762
| 名前 / ファイル | ライセンス | アクション |
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IPSJ-TACS1201004.pdf (1.6 MB)
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Copyright (c) 2019 by the Information Processing Society of Japan
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| オープンアクセス | ||
| Item type | Trans(1) | |||||||||||||||||
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| 公開日 | 2019-01-21 | |||||||||||||||||
| タイトル | ||||||||||||||||||
| タイトル | TP-PARSEC: A Task Parallel PARSEC Benchmark Suite | |||||||||||||||||
| タイトル | ||||||||||||||||||
| 言語 | en | |||||||||||||||||
| タイトル | TP-PARSEC: A Task Parallel PARSEC Benchmark Suite | |||||||||||||||||
| 言語 | ||||||||||||||||||
| 言語 | eng | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||
| 主題 | benchmark suite, task parallelism, programming models, performance analysis, scheduling delay | |||||||||||||||||
| 資源タイプ | ||||||||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||||||
| 資源タイプ | journal article | |||||||||||||||||
| 著者所属 | ||||||||||||||||||
| The University of Tokyo | ||||||||||||||||||
| 著者所属 | ||||||||||||||||||
| The University of Tokyo | ||||||||||||||||||
| 著者所属 | ||||||||||||||||||
| The University of Tokyo | ||||||||||||||||||
| 著者所属 | ||||||||||||||||||
| The University of Tokyo | ||||||||||||||||||
| 著者所属 | ||||||||||||||||||
| The University of Tokyo | ||||||||||||||||||
| 著者所属 | ||||||||||||||||||
| The University of Tokyo | ||||||||||||||||||
| 著者所属(英) | ||||||||||||||||||
| en | ||||||||||||||||||
| The University of Tokyo | ||||||||||||||||||
| 著者所属(英) | ||||||||||||||||||
| en | ||||||||||||||||||
| The University of Tokyo | ||||||||||||||||||
| 著者所属(英) | ||||||||||||||||||
| en | ||||||||||||||||||
| The University of Tokyo | ||||||||||||||||||
| 著者所属(英) | ||||||||||||||||||
| en | ||||||||||||||||||
| The University of Tokyo | ||||||||||||||||||
| 著者所属(英) | ||||||||||||||||||
| en | ||||||||||||||||||
| The University of Tokyo | ||||||||||||||||||
| 著者所属(英) | ||||||||||||||||||
| en | ||||||||||||||||||
| The University of Tokyo | ||||||||||||||||||
| 著者名 |
An, Huynh
× An, Huynh
× Christian, Helm
× Shintaro, Iwasaki
× Wataru, Endo
× Byambajav, Namsraijav
× Kenjiro, Taura
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| 著者名(英) |
An, Huynh
× An, Huynh
× Christian, Helm
× Shintaro, Iwasaki
× Wataru, Endo
× Byambajav, Namsraijav
× Kenjiro, Taura
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| 論文抄録 | ||||||||||||||||||
| 内容記述タイプ | Other | |||||||||||||||||
| 内容記述 | The original PARSEC benchmark suite consists of a diverse and representative set of benchmark applications which are useful in evaluating shared-memory multicore architectures. However, it supports only three programming models: Pthreads (SPMD), OpenMP (parallel for), TBB (parallel for, pipeline), lacking support for emerging and widespread task parallel programming models. In this work, we present a task-parallelized PARSEC (TP-PARSEC) in which we have added translations for five different task parallel programming models (Cilk Plus, MassiveThreads, OpenMP Tasks, Qthreads, TBB). Task parallelism enables a more intuitive description of parallel algorithms compared with the direct threading SPMD approach, and ensures a better load balance on a large number of processor cores with the proven work stealing scheduling technique. TP-PARSEC is not only useful for task parallel system developers to analyze their runtime systems with a wide range of workloads from diverse areas, but also enables them to compare performance differences between systems. TP-PARSEC is integrated with a task-centric performance analysis and visualization tool which effectively helps users understand the performance, pinpoint performance bottlenecks, and especially analyze performance differences between systems. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.27(2019) (online) ------------------------------ |
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| 論文抄録(英) | ||||||||||||||||||
| 内容記述タイプ | Other | |||||||||||||||||
| 内容記述 | The original PARSEC benchmark suite consists of a diverse and representative set of benchmark applications which are useful in evaluating shared-memory multicore architectures. However, it supports only three programming models: Pthreads (SPMD), OpenMP (parallel for), TBB (parallel for, pipeline), lacking support for emerging and widespread task parallel programming models. In this work, we present a task-parallelized PARSEC (TP-PARSEC) in which we have added translations for five different task parallel programming models (Cilk Plus, MassiveThreads, OpenMP Tasks, Qthreads, TBB). Task parallelism enables a more intuitive description of parallel algorithms compared with the direct threading SPMD approach, and ensures a better load balance on a large number of processor cores with the proven work stealing scheduling technique. TP-PARSEC is not only useful for task parallel system developers to analyze their runtime systems with a wide range of workloads from diverse areas, but also enables them to compare performance differences between systems. TP-PARSEC is integrated with a task-centric performance analysis and visualization tool which effectively helps users understand the performance, pinpoint performance bottlenecks, and especially analyze performance differences between systems. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.27(2019) (online) ------------------------------ |
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| 書誌レコードID | ||||||||||||||||||
| 収録物識別子タイプ | NCID | |||||||||||||||||
| 収録物識別子 | AA11833852 | |||||||||||||||||
| 書誌情報 |
情報処理学会論文誌コンピューティングシステム（ACS） 巻 12, 号 1, 発行日 2019-01-21 |
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| 収録物識別子タイプ | ISSN | |||||||||||||||||
| 収録物識別子 | 1882-7829 | |||||||||||||||||
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| 言語 | ja | |||||||||||||||||
| 出版者 | 情報処理学会 | |||||||||||||||||
