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サテライトコンピューティングシステムの信頼性と高性能化

Research Project

Project/Area Number 21F21376
Research Category

Grant-in-Aid for JSPS Fellows

Allocation TypeSingle-year Grants
Section外国
Review Section Basic Section 60040:Computer system-related
Research InstitutionWaseda University

Principal Investigator

木村 晋二 (2021)  早稲田大学, 理工学術院(情報生産システム研究科・センター), 教授 (20183303)

Co-Investigator(Kenkyū-buntansha) MEYER MICHAEL  早稲田大学, 理工学術院, 外国人特別研究員
Host Researcher 木村 晋二 (2022)  早稲田大学, 理工学術院(情報生産システム研究科・センター), 教授 (20183303)
Foreign Research Fellow MEYER MICHAEL  早稲田大学, 理工学術院, 外国人特別研究員
Project Period (FY) 2021-09-28 – 2023-03-31
Project Status Discontinued (Fiscal Year 2022)
Budget Amount *help
¥1,100,000 (Direct Cost: ¥1,100,000)
Fiscal Year 2022: ¥600,000 (Direct Cost: ¥600,000)
Fiscal Year 2021: ¥500,000 (Direct Cost: ¥500,000)
KeywordsPhotonic Network / Network-on-Chip / photonic network on chip / Distributed Computing / Reliability of NoC / Thermal Variation / Satellites
Outline of Research at the Start

Photonic Networks-on-Chips (PNoCs) are promising technique, which utilizes the transmission of photons across a waveguide to transmit the data. PNoCs offer several benefits over conventional electrical NoCs, such as high-bandwidth support, distance independent power consumption, lower latency, and improved performance-per-watt. The photonic domain is immune to transient faults caused by radiation but is still susceptible to process variation (PV) and thermal variation (TV) as well as aging. This research focuses the reliability of PNoCs for nano-photonic circuitry.

Outline of Annual Research Achievements

The Photonic Networks-on-Chip has been studied especially on reliable routing algorithm. Photonic Networks-on-Chip are inherently more resilient to alpha particles because of using photons for communication but suffer from other forms of faults such as thermal variation. In order to control faults by the thermal variation, the microring resonators are fabricated with a flattened coil that can heat up the microring resonators. The strain-based calculation can be improved by improving both sub aspects of the algorithm. Instead of using a threshold of failed microring resonators, a performance factor is calculated based on every possible combinations of failed microring resonators in the individual switch. This way, there is no guessing whether a message can make it through the switch if two microring resonators in the same location have failed. The second point of improvement is to skip the power-based temperature estimation and replace it by separating the network into segments of single nodes and measuring the temperature of each segment. The resulting publication is almost ready for submission. In the future, the control method might be applied to advanced network such as satellite networks.

Research Progress Status

令和4年度が最終年度であるため、記入しない。

Strategy for Future Research Activity

令和4年度が最終年度であるため、記入しない。

Report

(2 results)
  • 2022 Annual Research Report
  • 2021 Annual Research Report

URL: 

Published: 2021-10-22   Modified: 2024-12-25  

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