Design of Ultra-Low Power IP-Packet-Processing LSI Based on Probabilistic Computing
Project/Area Number |
26700003
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Research Category |
Grant-in-Aid for Young Scientists (A)
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Allocation Type | Partial Multi-year Fund |
Research Field |
Computer system
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Research Institution | Tohoku University |
Principal Investigator |
Onizawa Naoya 東北大学, 学際科学フロンティア研究所, 助教 (90551557)
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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 |
¥24,180,000 (Direct Cost: ¥18,600,000、Indirect Cost: ¥5,580,000)
Fiscal Year 2017: ¥5,460,000 (Direct Cost: ¥4,200,000、Indirect Cost: ¥1,260,000)
Fiscal Year 2016: ¥5,720,000 (Direct Cost: ¥4,400,000、Indirect Cost: ¥1,320,000)
Fiscal Year 2015: ¥8,840,000 (Direct Cost: ¥6,800,000、Indirect Cost: ¥2,040,000)
Fiscal Year 2014: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
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Keywords | 連想メモリ / 確率的演算 / Internet of Things / ニューラルネットワーク / 検索ハードウェア / 計算機システム / 情報システム / 確率論 / Internet of Things (IoT) |
Outline of Final Research Achievements |
Recently, internet traffic has been expected to be rapidly increased. IP routers used as repeaters need to handle enormous packets while achieving high-speed and ultra-low power processing. In this research, a probabilistic-computing based partial search algorithm has been presented for IP packet processing. Compared with a conventional method that requires a brute-force search, the proposed method achieves the comparable search capability using the partial searching, leading to an order-of-magnitude reduction in power dissipation. As a result, this research results are summarized in 17 journals including well-known IEEE journals in the field and 38 conference presentations.
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Report
(5 results)
Research Products
(67 results)
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[Presentation] Frequency-Flexible Stochastic Gabor Filter2015
Author(s)
N. Onizawa, D. Katagiri, K. Matsumiya, W. J. Gross, and T. Hanyu
Organizer
2015 IEEE International Conference on Digital Signal Processing (DSP)
Place of Presentation
Singapole, Singapole
Year and Date
2015-07-21
Related Report
Int'l Joint Research
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