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Improving Efficiency to Advance Resilient Computing
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Li, Ji. |
| 단체저자명 | University of Southern California. Electrical Engineering. |
| 서명/저자사항 | Improving Efficiency to Advance Resilient Computing. |
| 발행사항 | [S.l.] : University of Southern California., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 223 p. |
| 소장본 주기 | School code: 0208. |
| ISBN | 9780438066632 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Advisers: Jeffrey T. Draper |
| 요약 | Resilience is a major roadblock for high-performance computing (HPC) executions on future exascale systems, as the increased likelihood of much higher error rates results in systems that fail frequently and make little progress in computations o |
| 요약 | Among all the hardware failure mechanisms, radiation-induced soft errors have become one of the most challenging issues [KMH12, WDT+14], which can lead to silent data corruptions and system failures, with potentially disastrous results in missio |
| 요약 | In the process, Deep Neural Network (DNN) and Deep Convolutional Neural Network (DCNN) have emerged as high performance resilient systems, which completely tolerate radiation-induced soft errors. More importantly, DNN and DCNN have achieved brea |
| 요약 | Accordingly, the second part of this thesis is dedicated to solve the aforementioned challenges. A Deep Reinforcement Learning (DRL)-based framework is proposed, which utilizes the resilient DNNs together with the reinforcement learning method t |
| 요약 | In conclusion, this thesis is dedicated to improving the efficiency of resilient computing through both a classical approach, i.e., fast and comprehensive SER evaluation framework for conventional computing circuits, and another novel approach i |
| 일반주제명 | Electrical engineering. Computer engineering. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-10B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14996895 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00029030 | 621.3 | 가야대학교// | 대출가능 |
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