文部科学省大学間連携共同教育推進事業「未来像を自ら描く電気エネルギー分野における実践的人材の育成」
1. The Advanced SMRs (aSMR) Conceptual Design and Research Challenges －A Solution for Future Nuclear Power－ 2. Statistical Static Timing Analysis (SSTA) in Today's SoC Design and Verification [2月11日（月・祝）福岡工業大学]
2018/12/20
【科目種別】電気エネルギーシステム工学特論Ⅱ（英語科目）
■講師：Prof. Dr. Thuy T. Le
（ご所属）San Jose State University
■演題：
1. The Advanced SMRs (aSMR) Conceptual Design and Research Challenges －A Solution for Future Nuclear Power－
2. Statistical Static Timing Analysis (SSTA) in Today's SoC Design and Verification
■日時：平成31年2月11日（月・祝）
1. 10：00 〜 11：30
2. 13：00 〜 14：30
■場所：福岡工業大学E棟3F R1教室
遠隔講義開催無し
■主催：福岡工業大学 大学院
■協賛：大学間連携共同教育プログラム
■申込/お問合せ：福岡工業大学大学院事務室
電話：092-606-6996 E-mail：master@fit.ac.jp
■概要：
1. The Small Modular Reactors (SMRs) are nuclear power reactors that have power level of 300 MWe or less and are designed in form of modular units. The Advanced SMRs (aSMR) are SMR with generation 4 design objectives. These reactors can be manufactured at a factory and transported by truck or rail to a nuclear power site for onsite installation. SMRs theoretically offer major advantages over traditional large nuclear power reactors such as minimum on-site construction, lower initial capital investment, better power scalability and siting flexibility, higher containment efficiency, enhanced safety and nuclear materials security. Some industry observers believe that SMRs are one solution for the four major challenges in creating nuclear energy facilities, which are costs, safety, waste, and proliferation. Still some others believe that SMRs may not be able to solve problems confronting nuclear power. This presentation assesses the technical characteristics of current SMR designs, which are mostly based on traditional LWR technology. The presentation then analyses the technical objectives and conceptual designs of aSMR which require lots of study and research, for both supply side and demand side. In order for aSMRs to be able to solve current problems confronting nuclear power, aSMR designs must simultaneously resolve the four major challenges without trading off among them. The design should be based on regulatory requirements with realistic technology-specific based on acceptance criteria and outcomes. Based on newest accepted conceptual designs of aSMR, research direction and challenges for the design and development of aSMR in the next 15 years will be presented and discussed.
2. Process variations are of great concern in today's design and verification of complex SoC with deep submicron technology. These variations significantly affect the gate delays and hence, the operating frequency of the chip. A timing analysis technique that takes these variations into account is the statistical static timing analysis (SSTA). Since SSTA involves the calculations of probability functions of random variables, few approximations still have to be made such as the types of distributions, correlation among parameters, probability max calculations, linear and non-linear functions of the process parameters, etc. This presentation assesses the fundamentals of the SSTA and the computational models involved. The presentation then shows some of today's study and research that are able to trade-off between model accuracy and the computational complexity of the SSTA.
■講師：Prof. Dr. Thuy T. Le
（ご所属）San Jose State University
■演題：
1. The Advanced SMRs (aSMR) Conceptual Design and Research Challenges －A Solution for Future Nuclear Power－
2. Statistical Static Timing Analysis (SSTA) in Today's SoC Design and Verification
■日時：平成31年2月11日（月・祝）
1. 10：00 〜 11：30
2. 13：00 〜 14：30
■場所：福岡工業大学E棟3F R1教室
遠隔講義開催無し
■主催：福岡工業大学 大学院
■協賛：大学間連携共同教育プログラム
■申込/お問合せ：福岡工業大学大学院事務室
電話：092-606-6996 E-mail：master@fit.ac.jp
■概要：
1. The Small Modular Reactors (SMRs) are nuclear power reactors that have power level of 300 MWe or less and are designed in form of modular units. The Advanced SMRs (aSMR) are SMR with generation 4 design objectives. These reactors can be manufactured at a factory and transported by truck or rail to a nuclear power site for onsite installation. SMRs theoretically offer major advantages over traditional large nuclear power reactors such as minimum on-site construction, lower initial capital investment, better power scalability and siting flexibility, higher containment efficiency, enhanced safety and nuclear materials security. Some industry observers believe that SMRs are one solution for the four major challenges in creating nuclear energy facilities, which are costs, safety, waste, and proliferation. Still some others believe that SMRs may not be able to solve problems confronting nuclear power. This presentation assesses the technical characteristics of current SMR designs, which are mostly based on traditional LWR technology. The presentation then analyses the technical objectives and conceptual designs of aSMR which require lots of study and research, for both supply side and demand side. In order for aSMRs to be able to solve current problems confronting nuclear power, aSMR designs must simultaneously resolve the four major challenges without trading off among them. The design should be based on regulatory requirements with realistic technology-specific based on acceptance criteria and outcomes. Based on newest accepted conceptual designs of aSMR, research direction and challenges for the design and development of aSMR in the next 15 years will be presented and discussed.
2. Process variations are of great concern in today's design and verification of complex SoC with deep submicron technology. These variations significantly affect the gate delays and hence, the operating frequency of the chip. A timing analysis technique that takes these variations into account is the statistical static timing analysis (SSTA). Since SSTA involves the calculations of probability functions of random variables, few approximations still have to be made such as the types of distributions, correlation among parameters, probability max calculations, linear and non-linear functions of the process parameters, etc. This presentation assesses the fundamentals of the SSTA and the computational models involved. The presentation then shows some of today's study and research that are able to trade-off between model accuracy and the computational complexity of the SSTA.
