People

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, Michael B. Sullivan, Steve Keckler
International Symposium on High-Performance Computer Architecture (HPCA)
Characterizing and Mitigating Soft Errors in GPU DRAM
Michael B. Sullivan, Nirmal R. Saxena, Mike O'Connor, Donghyuk Lee, Paul Racunas, Saurabh Hukerikar, Timothy Tsai, Siva Kumar Sastry Hari, Stephen W. Keckler
IEEE Micro (Issue: Top Picks of the 2021 Computer Architecture Conferences)

2021

Characterizing and Mitigating Soft Errors in GPU DRAM
Michael B. Sullivan, Nirmal Saxena, Mike O'Connor, Donghyuk Lee, Paul Racunas, Saurabh Hukerikar, Timothy Tsai, Siva Hari, Steve Keckler
International Symposium on Microarchitecture (MICRO)
IEEE Micro Top Picks in Computer Architecture
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
International Symposium on Performance Analysis of Systems and Software (ISPASS)

2020

Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs
Esha Chouske, Michael B. Sullivan, Mike O'Connor, Mattan Erez, Jeff Pool, David Nellans, Steve Keckler
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
International Conference for High-Performance Computing, Networking, Storage, a…
Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs
Esha Choukse, Michael B. Sullivan, Mike O'Connor, Mattan Erez, Jeff Pool, David Nellans, Stephen W. Keckler
arXiv
DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis
Sangkug Lym, Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee, Mattan Erez
arXiv
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
International Symposium on Performance Analysis of Systems and Software (ISPASS)

2018

What Your DRAM Power Models Are Not 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 K. Chang, Niladrish Chatterjee, Aditya Agrawal, Mike O'Connor, Onur Mutlu
arXiv
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
ACM International Conference on Measurement and Analysis of Computer Systems (S…
Voltron: Understanding and Exploiting the Voltage-Latency-Reliability Trade-Offs in Modern DRAM Chips to Improve Energy Efficiency
Kevin K. Chang, Abdullah Giray Yağlıkçı, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu
arXiv
Reducing Data Transfer Energy by Exploiting Similarity within a Data Transaction
Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee
International Symposium on High Performance Computer Architecture (HPCA)
Best Paper nominee
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks
Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Youngeun Kwon, Steve Keckler
International Symposium on High Performance Computer Architecture (HPCA)

2017

Toward Standardized Near-Data Processing with Unrestricted Data Placement for GPUs
Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Kevin Hsieh
International Conference for High-Performance Computing, Networking, Storage, a…
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
International Symposium on Microarchitecture (MICRO)
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
ACM Conference on Measurement and Analysis of Computer Systems (SIGMETRICS 2017)
Understanding Reduced-Voltage Operation in Modern DRAM Chips: Characterization, Analysis, and Mechanisms
Kevin K. Chang, Abdullah Giray Yağlıkçı, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu
arXiv
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks
Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Stephen W. Keckler
arXiv
Architecting an Energy-Efficient DRAM System for GPUs
Niladrish Chatterjee, Mike O'Connor, Donghyuk Lee, Daniel Johnson, Minsoo Rhu, Steve Keckler, William Dally
International Symposium on High Performance Computer Architecture (HPCA)

2016

CLARA: Circular Linked-List Auto- and Self-Refresh Architecture
Aditya Agrawal, Mike O'Connor, Evgeny Bolotin, Niladrish Chatterjee, Joel Emer, Steve Keckler
International Symposium on Memory Systems (MEMSYS'16)
Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems
Kevin Hsieh, Eiman Ebrahimi, Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Nandita Vijaykumar, Onur Mutlu, Steve Keckler
International Symposium on Computer Architecture (ISCA)

2015

Exploiting Asymmetry in Booth-Encoded Multipliers for Reduced Energy Multiplication
Mike O'Connor, Earl Swartzlander, Jr.
49th Asilomar Conference on Signals, Systems, and Computers
MemcachedGPU: Scaling-up Scale-out Key-value Stores
Tayler Hetherington, Mike O'Connor, Tor Aamodt
Sixth ACM Symposium on Cloud Computing (SoCC '15)
Designing Efficient Heterogeneous Memory Architectures
Evgeny Bolotin, David Nellans, Oreste Villa, Mike O'Connor, Alex Ramirez, Steve Keckler, Mike O'Connor
IEEE Micro
Designing Efficient Heterogeneous Memory Architectures
Evgeny Bolotin, David Nellans, Oreste Villa, Mike O'Connor, Alex Ramirez, Steve Keckler, Mike O'Connor
IEEE Micro
Flexible Software Profiling of GPU Architectures
Mark Stephenson, Siva Hari, Yunsup Lee, Eiman Ebrahimi, Daniel Johnson, David Nellans, Mike O'Connor, Steve Keckler
International Symposium on Computer Architecture (ISCA)
A Variable Warp Size Architecture
Timothy Rogers, Daniel Johnson, Mike O'Connor, Steve Keckler
International Symposium on Computer Architecture (ISCA)
Toggle-aware Compression for GPUs
Gennady Pekhimenko, Evgeny Bolotin, Mike O'Connor, Onur Mutlu, Todd C. Mowry, Steve Keckler
IEEE Computer Architecture Letters ( Volume: 14, Issue: 2, July-Dec. 1 2015 )
Page Placement Strategies for GPUs within Heterogeneous Memory Systems
Neha Agarwal, David Nellans, Mark Stephenson, Mike O'Connor, Steve Keckler
International Conference on Architectural Support for Programming Languages and…
Priority-Based Cache Allocation in Throughput Processors
Dong Li, Minsoo Rhu, Daniel Johnson, Mike O'Connor, Mattan Erez, Donald Fussell, Steve Keckler
International Symposium on High Performance Computer Architecture (HPCA)
Unlocking Bandwidth for GPUs in CC-NUMA systems
Neha Agarwal, David Nellans, Mike O'Connor, Steve Keckler, Thomas Wenisch
International Symposium on High Performance Computer Architecture (HPCA)

2014

Scaling the Power Wall: A Path to Exascale
Oreste Villa, Daniel Johnson, Mike O'Connor, Evgeny Bolotin, David Nellans, Justin Luitjens, Nikolai Sakharnykh, Peng Wang, Paulius Micikevicius, Anthony Scudiero, Steve Keckler, William Dally
SC '14