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- 031-299-4398
- dale40@skku.edu
- 반도체관 5층 400514호실
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관심분야
NPU (Neural Processing Unit), 메모리, 분산 인공지능 연산, 통신-컴퓨팅 융합, 신뢰성
학력
- 텍사스 주립대학교(오스틴) 박사
- 서울대학교 전기컴퓨터공학부 석사
- 서울대학교 전기공학부 학사
약력/경력
- 2020- 성균관대 반도체시스템공학과 조교수
- 2016-2020 미국 Microsoft
- 2003-2016 삼성전자 System LSI
- 2001-2002 유비벨록스
학술지 논문
- (2022) SEC-BADAEC: An Efficient ECC With No Vacancy for Strong Memory Protection. IEEE ACCESS. 10, 1
- (2022) Demand MemCpy: Overlapping of Computation and Data Transfer for Heterogeneous Computing. IEEE ACCESS. 10, 1
- (2022) On-Die Dynamic Remapping Cache: Strong and Independent Protection Against Intermittent Faults. IEEE ACCESS. 10, 1
- (2022) On-the-Fly Lowering Engine: Offloading Data Layout Conversion for Convolutional Neural Networks. IEEE ACCESS. 10, 1
- (2022) Multi-Prediction Compression: An Efficient and Scalable Memory Compression Framework for GP-GPU. IEEE COMPUTER ARCHITECTURE LETTERS. 21, 2
- (2021) Auto-Tiler: Variable-Dimension Autoencoder with Tiling for Compressing Intermediate Feature Space of Deep Neural Networks for Internet of Things. SENSORS. 21, 3
수상/공훈
- 삼성전자 해외학술연수
학술회의논문
- (2023) Unity ECC: Unified Memory Protection Against Bit and Chip Errors. ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis. 미국
- (2023) UVMMU: Hardware-Offloaded Page Migration for Heterogeneous Computing. Design Automation and Test in Europe Conference. 벨기에