일반공지
- 2024.12.26
- 496
Advanced Integrated Circuit Design 해외 석학 초빙 강의
1. 일시
- 1/2, 1/3 강의
강의: 9:30 – 17:30 J관 118호
- 1/6, 1/7, 1/8 강의+실습
강의: 9:30 – 13:00 J관 302호
실습: 13:00 – 17:30 AS관 107, 109, 111호
- 1/8 11:00 – 13:00 글로벌세미나(영어 강의) J관 302호
2. 강의 개요
2-1. 강의명: Advanced Integrated Circuit Design
2-2. 강의내용:
- 저전력 회로 기본 원리
- 일반 저전력 회로 설계 기술
- 고급 저전력 회로 설계 기술
- 회로의 변동성 보상을 위한 회로 설계 기술
- 에너지 효율을 위한 저전압 회로 설계 기술
- 일반 임베디드 메모리 설계: SRAM
- 고급 임베디드 메모리 설계: 저전압 SRAM
- 인공지능과 기계학습을 위한 설계 기본
- 인공지능과 기계학습을 위한 인메모리 컴퓨팅 설계 기술
- (글로벌세미나) Design of computing-in-memory and its application in tiny machine learning accelerators
3. 글로벌 세미나
3-1. 강연 주제: Design of computing-in-memory and its application in tiny machine learning accelerators
3-2. 일시: 1/8(수) 11시~13시
3-3. 초록
Abstract: The recent development in neural networks has required massive data transfer between memory and processing elements for data processing. This heavy data transfer leads to substantial energy overhead and limits the overall performance of the neural networks. Computing-in-memory (CIM) has attracted the research community’s attention because of the significant energy efficiency improvement by minimizing the energy-hungry data transfer. CIM designs can employ either analog computing or digital computing, while each has its pros and cons. In this talk, I will present the basics of CIM design and various challenges. After that, various state-of-the-art CIM macros will be introduced. I will also discuss the pros and cons of analog and digital CIM macros. Finally, several tiny machine learning accelerators utilizing CIM and other low power techniques will be briefly introduced.
4. 연사 소개
Tony Tae-Hyoung Kim (Senior Member, IEEE) received the B.S. and M.S. degrees in electrical engineering from Korea University, Seoul, Korea, in 1999 and 2001, respectively. He received the Ph.D. degree in electrical and computer engineering from the University of Minnesota, Minneapolis, MN, USA in 2009. From 2001 to 2005, he worked for Samsung Electronics. In November 2009, he joined Nanyang Technological University where he is currently an Associate Professor. He has published over 200 papers in journals and conferences and holds 20 U.S. and Korean patents registered. His research interests include computing-in-memory for machine learning, energy-efficient circuits and systems for edge computing, and memory circuit design.
5. 신청 링크
1/2-1/8 강의 등록 링크:
https://docs.google.com/forms/d/1232m3LdAhFZMrE-R__YVKJqEdCgagpJFyw7eLUm1Yrg/edit
1/8 글로벌세미나 등록 링크:
https://docs.google.com/forms/d/1KCTIHkfGX5DktAYkH4Hn4kF9dpmHkWwioxbfnnZpvao/edit
6. 소프트웨어 동의서 관련
Cadence 및 Synopsys 개인정보 수집 및 이용 동의서 출력이 어려운 학생은 전자공학과 홈페이지에 비치된 양식을 이용하고, 학과 사무실에 제출해주세요.
문의. elite@sogang.ac.kr, wlee@sogang.ac.kr 02-717-7357
