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  1. 論文誌(トランザクション)
  2. コンピューティングシステム(ACS)
  3. Vol.15
  4. No.2

An Open-source FPGA Library for Data Sorting

https://ipsj.ixsq.nii.ac.jp/records/220311
https://ipsj.ixsq.nii.ac.jp/records/220311
8e4c9e3e-9210-44ff-a90e-d8e1938f9abe
名前 / ファイル ライセンス アクション
IPSJ-TACS1502004.pdf IPSJ-TACS1502004.pdf (2.1 MB)
Copyright (c) 2022 by the Information Processing Society of Japan
オープンアクセス
Item type Trans(1)
公開日 2022-09-27
タイトル
タイトル An Open-source FPGA Library for Data Sorting
タイトル
言語 en
タイトル An Open-source FPGA Library for Data Sorting
言語
言語 eng
キーワード
主題Scheme Other
主題 FPGA, Sorting, Intel FPGA SDK for OpenCL
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
Center for Computational Sciences, University of Tsukuba
著者所属
Rakuten, Inc.
著者所属
Center for Computational Sciences, University of Tsukuba
著者所属
Center for Computational Sciences, University of Tsukuba
著者所属
Center for Computational Sciences, University of Tsukuba
著者所属(英)
en
Center for Computational Sciences, University of Tsukuba
著者所属(英)
en
Rakuten, Inc.
著者所属(英)
en
Center for Computational Sciences, University of Tsukuba
著者所属(英)
en
Center for Computational Sciences, University of Tsukuba
著者所属(英)
en
Center for Computational Sciences, University of Tsukuba
著者名 Ryohei, Kobayashi

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Ryohei, Kobayashi

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Kento, Miura

× Kento, Miura

Kento, Miura

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Norihisa, Fujita

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Norihisa, Fujita

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Taisuke, Boku

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Taisuke, Boku

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Toshiyuki, Amagasa

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Toshiyuki, Amagasa

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著者名(英) Ryohei, Kobayashi

× Ryohei, Kobayashi

en Ryohei, Kobayashi

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Kento, Miura

× Kento, Miura

en Kento, Miura

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Norihisa, Fujita

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en Norihisa, Fujita

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Taisuke, Boku

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en Taisuke, Boku

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Toshiyuki, Amagasa

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論文抄録
内容記述タイプ Other
内容記述 Field-programmable gate arrays (FPGAs) have garnered significant interest in research on high-performance computing because their flexibility enables the building of application-specific computation pipelines and data supply systems. In addition to the flexibility, toolchains for the development of FPGAs in OpenCL have been developed and offered by FPGA vendors that reduce the programming effort required. However, the high level of abstraction in the OpenCL-based development approach is a disadvantage, making it difficult to perform fine-grained performance tuning. In this paper, we present one of the methodologies to achieve both the reduction of FPGA programming cost and the provision of high performance. We focus on data sorting, which is a basic arithmetic operation, and we introduce a sorting library that can be used with the OpenCL programming model for FPGAs. Our sorting library has so far only supported integer data, but in this paper, we propose a new method that supports floating-point data. It consumes at least twice as many hardware resources compared to the merge sort restructured for the OpenCL programming model for FPGAs. However, its operating frequency is 1.08x higher and its sorting throughput is three orders of magnitude greater than the baseline. The source code of our sorting library is open source, and it can be used by application developers around the world.
------------------------------
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.30(2022) (online)
------------------------------
論文抄録(英)
内容記述タイプ Other
内容記述 Field-programmable gate arrays (FPGAs) have garnered significant interest in research on high-performance computing because their flexibility enables the building of application-specific computation pipelines and data supply systems. In addition to the flexibility, toolchains for the development of FPGAs in OpenCL have been developed and offered by FPGA vendors that reduce the programming effort required. However, the high level of abstraction in the OpenCL-based development approach is a disadvantage, making it difficult to perform fine-grained performance tuning. In this paper, we present one of the methodologies to achieve both the reduction of FPGA programming cost and the provision of high performance. We focus on data sorting, which is a basic arithmetic operation, and we introduce a sorting library that can be used with the OpenCL programming model for FPGAs. Our sorting library has so far only supported integer data, but in this paper, we propose a new method that supports floating-point data. It consumes at least twice as many hardware resources compared to the merge sort restructured for the OpenCL programming model for FPGAs. However, its operating frequency is 1.08x higher and its sorting throughput is three orders of magnitude greater than the baseline. The source code of our sorting library is open source, and it can be used by application developers around the world.
------------------------------
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.30(2022) (online)
------------------------------
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 15, 号 2, 発行日 2022-09-27
ISSN
収録物識別子タイプ ISSN
収録物識別子 1882-7829
出版者
言語 ja
出版者 情報処理学会
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