Mike O'Connor

Mike O'Connor currently a Senior Manager and Research Scientist at NVIDIA in the Architecture Research group in the Austin, TX office.

He leads a team of researchers focusing on enabling technologies for high-bandwidth, energy efficient future DRAM/NVRAM systems.

He has broad interests in many areas of computer architecture, including:

High-Performance Memory Systems (DRAM and NVRAM)
GPU Architectures (both processing cores and cache/memory systems)
Low-power datapath design
Reliabilty/Resilience

Research Area(s)

Artificial Intelligence and Machine Learning

High Performance Computing

Resilience and Safety

Main Field of Interest

Computer Architecture

Google Scholar

https://scholar.google.com/citations?user=rc89KiIAAAAJ&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…

2020

Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs

Esha Chouske, Mike Sullivan, Mike O'Connor, Mattan Erez, Jeff Pool, David Nellans, Steve Keckler

Proceedings of the 47th International Symposium on Computer Architecture (ISCA …

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 …

Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks

Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Youngeun Kwon, Steve Keckler

Proceedings of the 24th IEEE International Symposium on High Performance Comput…

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

Toward Standardized Near-Data Processing with Unrestricted Data Placement for GPUs

Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Kevin Hsieh

Proceedings of the 2017 International Conference for High-Performance Computing…

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…

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…