Development of Heterogeneous-Computing Platform with Custom Accelerators for Embedded HPC Applications
| Project/Area Number |
24300013
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Partial Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Computer system/Network
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| Research Institution | Tohoku University |
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Principal Investigator |
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| Co-Investigator(Renkei-kenkyūsha) |
Waidyasooriya Hasitha Muthumala 東北大学, 情報科学研究科, 助教 (60723533)
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| Project Period (FY) |
2012-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥15,730,000 (Direct Cost: ¥12,100,000、Indirect Cost: ¥3,630,000)
Fiscal Year 2015: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2014: ¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2013: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2012: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
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| Keywords | リコンフィギャラブルコンピューティング / FPGA / カスタムアクセラレータ / ビッグデータ処理 / 高性能計算 / OpenCL / リコンフギャラブルコンピューティング / ビッグデータ / 大規模計算 / 並列処理 / リコンフィギャラブルシステム / 高位合成 / GPU |
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| Outline of Final Research Achievements |
This research is aiming at design technologies for a heterogeneous computing platform consisting of CPU cores, GPUs, and FPGAs. FPGAs allows us to build the application-specific accelerators since it's datapath can be reconfigured by programming after fabrication. One major difficulty in designing the heterogeneous computing platform is to find task allocation maximizing the performance and to design the FPGA datapath as easily as possible. In order to solve this problem, we develop high-level synthesis technologies for the heterogeneous computing platform.
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Report
(5 results)
Research Products
(28 results)
