유민수

Rhu, Minsoo

연구디비젼

Computer

, Circuit

division

주요 연구분야

Security, Computer Architecture, Software Systems & Networking

주요 연구

컴퓨터 구조, VLSI SoC 설계, 딥-러닝, 컴퓨터 비전

소속연구실

컴퓨터 시스템 아키텍쳐 연구실

위치

IT융합빌딩 (N1)

809

연락처

7447

이메일

minsoo.rhu@gmail.com

웹사이트

https://sites.google.com/view/kaist-via

학위

Ph.D. (2014), University of Texas at Austin

대표업적

Youngeun Kwon and Minsoo Rhu, “A Case for Memory-Centric HPC System Architecture for Training Deep Neural Networks,” in IEEE Computer Architecture Letters (CAL), vol. 17, no. 2, pp. 134-138, July-Dec. 1 2018.
Minsoo Rhu, Mike O’Connor, Niladrish Chatterjee, Jeff Pool, Youngeun Kwon, and Stephen W. Keckler, “Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks,” The 24th IEEE International Symposium on High-Performance Computer Architecture (HPCA-24), Vienna, Austria, Feb. 2018
Angshuman Parashar, Minsoo Rhu, Anurag Mukkara, Antonio Puglielli, Rangharajan Venkatesan, Brucek Khailany, Joel Emer, Stephen W. Keckler, and William J. Dally, “SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks,” The 44th IEEE/ACM International Symposium on Computer Architecture (ISCA-44), Toronto, ON, Canada, June 2017
Minsoo Rhu, Natalia Gimelshein, Jason Clemons, Arslan Zulfiqar, and Stephen W. Keckler, “vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design,” The 49th IEEE/ACM International Symposium on Microarchitecture (MICRO-49), Taipei, Taiwan, Oct. 2016
Minsoo Rhu, Michael Sullivan, Jingwen Leng and Mattan Erez, “A Locality-Aware Memory Hierarchy for Energy-Efficient GPU Architectures,” The 46th IEEE/ACM International Symposium on Microarchitecture (MICRO-46), Davis, CA, Dec. 2013