People

Donghyuk Lee

Donghyuk Lee is a research scientist in the Architecture Research Group. The primary research focus is enabling high bandwidth and energy efficient memory systems in future GPUs.

 

Research Area(s)
Circuits and VLSI Design
High Performance Computing
Resilience and Safety
Main Field of Interest
Computer Architecture
Google Scholar
https://scholar.google.com/citations?user=UYSr2vIAAAAJ&hl=en

Publications

2022

Saving PAM4 Bus Energy with SMOREs: Sparse Multi-level Opportunistic Restricted Encodings
Mike O'Connor, Donghyuk Lee, Niladrish Chatterjee, Mike Sullivan, Steve Keckler
IEEE International Symposium on High-Performance Computer Architecture (HPCA)

2021

Characterizing and Mitigating Soft Errors in GPU DRAM
Mike Sullivan, Nirmal Saxena, Mike O'Connor, Donghyuk Lee, Paul Racunas, Saurabh Hukerikar, Timothy Tsai, Siva Hari, Steve Keckler
IEEE/ACM International Symposium on Microarchitecture (MICRO)
Learning Sparse Matrix Row Permutations for Efficient SpMM on GPU Architectures
Atefeh Mehrabi, Donghyuk Lee, Niladrish Chatterjee, Danial J. Sorin, Benjamin C. Lee, Mike O'Connor
Proceedings of the International Symposium on Performance Analysis of Systems a…

2019

Near-Memory Data Transformation for Efficient Sparse Matrix Multi-Vector Multiplication
Daichi Fujiki, Niladrish Chatterjee, Donghyuk Lee, Mike O'Connor
Proceedings of the 2019 International Conference for High-Performance Computing…
DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis
Sankug Lym, Donghyuk Lee, Niladrish Chatterjee, Mike O'Connor, Mattan Erez
Proceedings of the 2019 IEEE International Symposium on Performance Analysis of…

2018

What Your DRAM Power Models Aren’t Telling You: Lessons from a Detailed Experimental Study
Saugata Ghose, Abdullah Giray Yağlıkçı, Raghav Gupta, Donghyuk Lee, Kais Kudrolli, William X. Liu, Hasan Hassan, Kevin Chang, Niladrish Chatterjee, Aditya Agrawal, Mike O'Connor, Onur Mutlu
Proceedings of the ACM International Conference on Measurement and Analysis of …
Reducing Data Transfer Energy by Exploiting Similarity within a Data Transaction
Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee
Proceedings of the 24th IEEE International Symposium on High Performance Comput…

2017

Fine-Grained DRAM: Energy-Efficient DRAM for Extreme Bandwidth Systems
Mike O'Connor, Niladrish Chatterjee, Donghyuk Lee, John Wilson, Aditya Agrawal, Steve Keckler, William Dally
Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchite…
Design-Induced Latency Variation in Modern DRAM Chips: Characterization, Analysis, and Latency Reduction Mechanisms
Donghyuk Lee, Samira Khan, Lavanya Subramanian, Saugata Ghose, Rachata Ausavarungnirun, Gennady Pekhimenko, Vivek Seshadri, Onur Mutlu
Proceedings of the ACM Conference on Measurement and Analysis of Computer Syste…
Understanding Reduced-Voltage Operation in Modern DRAM Devices: Experimental Characterization, Analysis, and Mechanisms
Kevin Chang, Abdullah Giray Yağlıkçı, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu
Proceedings of the ACM Conference on Measurement and Analysis of Computer Syste…
Architecting an Energy-Efficient DRAM System for GPUs
Niladrish Chatterjee, Mike O'Connor, Donghyuk Lee, Daniel Johnson, Minsoo Rhu, Steve Keckler, William Dally
Proceedings of the 23rd IEEE International Symposium on High Performance Comput…