2016 Fiscal Year Final Research Report
Timing Error Prediction for Variation-Resilient LSI Designs
Project/Area Number |
26330073
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Computer system
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Research Institution | Waseda University |
Principal Investigator |
SHI YOUHUA 早稲田大学, 理工学術院, 准教授 (70409655)
|
Project Period (FY) |
2014-04-01 – 2017-03-31
|
Keywords | 高信頼化 / ディペンダブルコンピューティング / LSI設計 / 製造ばらつき / ソフトエラー |
Outline of Final Research Achievements |
With technology scaling, process, voltage, and temperature (PVT) variations and soft errors pose great challenges on integrated circuit designs. In this project, we conduct researches on in-situ error prediction for dependable low energy LSI designs, which is achieved by introducing the concept of prediction into LSI designs as a solution to the reliability problems of state-of-the-art integrated circuits. At first, a predication-based timing monitoring method called suspicious timing error prediction (STEP) was proposed for variation-resilient LSI designs. And then low power soft error tolerant latch designs have been developed to deal with the soft error problem. Finally, an in-situ prediction-based AVS method was proposed for energy minimization, which has been implemented and verified on a real large processor design.
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Free Research Field |
情報学
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