Programming Model for Non-Volatile Memory toward Extreme Computing
| Project/Area Number |
26540050
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
High performance computing
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| Research Institution | National Institute of Advanced Industrial Science and Technology (2017)
Tokyo Institute of Technology (2014-2016) |
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Principal Investigator |
Sato Hitoshi 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 主任研究員 (00550633)
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| Project Period (FY) |
2014-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | 不揮発性メモリ / GPGPU / 高性能計算 / ビッグデータ |
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| Outline of Final Research Achievements |
Emerging NVM (Non-Volitle Memory) devices such as Flash, which have positive aspects of inexpensive cost, high-energy-efficiency, and huge capacity compared with conventional DRAM devices, as well, as negative aspects of low throughput and latency, are widely employed to existing supercomputers and clouds. However, efficient implementation techniques and its productivity to overcome deepening memory hierarchy are open problems, although these NVMs will greatly expand the possibility of processing extremely large-scale datasets that exceed the DRAM capacity of the nodes. In order to address the issues, we investigated the programming model for NVM toward extreme data-intensive computing. Based on our GPU-based MapReduce implementation, we enhanced out-of-core features of the implementation, including various Big Data Kernels such as Sort, PrefixSum, Unique, SetIntersection, and demonstrated efficient performance to datasets that exceed the DRAM capacity of the nodes.
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Report
(5 results)
Research Products
(31 results)
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[Journal Article] Hybrid BFS Approach Using Semi-External Memory2014
Author(s)
Keita Iwabuchi, Hitoshi Sato, Ryo Mizote, Yuichiro Yasui, Katsuki Fujisawa, Satoshi Matsuoka
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Journal Title
The 3rd High Performance Data Intensive Computing Workshop (HPDIC2014 ) in conjunction with IEEE International Conference on Parallel and Distributed Processing Symposium 2014 (IPDPS2014)
Volume: -
Pages: 1698-1707
DOI
Related Report
Peer Reviewed
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