Mike O'Connor

56 papers A* 20A 4B 3Misc 2Journal 20Unranked 7
YearRankTypeTitle / Venue / Authors
2023 J jnl
Symphony: Orchestrating Sparse and Dense Tensors with Hierarchical Heterogeneous Processing.
ACM Trans. Comput. Syst.
Michael Pellauer, Jason Clemons, Vignesh Balaji, Neal Clayton Crago, Aamer Jaleel, Donghyuk Lee, Mike O'Connor, Anghsuman Parashar, Sean Treichler, Po-An Tsai, Stephen W. Keckler, Joel S. Emer
2022 J jnl
Characterizing and Mitigating Soft Errors in GPU DRAM.
IEEE Micro
Michael B. Sullivan, Nirmal R. Saxena, Mike O'Connor, Donghyuk Lee, Paul Racunas, Saurabh Hukerikar, Timothy Tsai, Siva Kumar Sastry Hari, Stephen W. Keckler
2022 A* conf
Saving PAM4 Bus Energy with SMOREs: Sparse Multi-level Opportunistic Restricted Encodings.
HPCA
Mike O'Connor, Donghyuk Lee, Niladrish Chatterjee, Michael B. Sullivan, Stephen W. Keckler
2021 A* conf
Characterizing and Mitigating Soft Errors in GPU DRAM.
MICRO
Michael B. Sullivan, Nirmal R. Saxena, Mike O'Connor, Donghyuk Lee, Paul Racunas, Saurabh Hukerikar, Timothy Tsai, Siva Kumar Sastry Hari, Stephen W. Keckler
2021 B conf
Learning Sparse Matrix Row Permutations for Efficient SpMM on GPU Architectures.
ISPASS
Atefeh Mehrabi, Donghyuk Lee, Niladrish Chatterjee, Daniel J. Sorin, Benjamin C. Lee, Mike O'Connor
2020 A* conf
Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs.
ISCA
Esha Choukse, Michael B. Sullivan, Mike O'Connor, Mattan Erez, Jeff Pool, David W. Nellans, Stephen W. Keckler
2019 J jnl
Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs.
CoRR
Esha Choukse, Michael B. Sullivan, Mike O'Connor, Mattan Erez, Jeff Pool, David W. Nellans, Stephen W. Keckler
2019 B conf
DeLTA: GPU Performance Model for Deep Learning Applications with In-Depth Memory System Traffic Analysis.
ISPASS
Sangkug Lym, Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee, Mattan Erez
2019 J jnl
DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis.
CoRR
Sangkug Lym, Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee, Mattan Erez
2019 A conf
Near-memory data transformation for efficient sparse matrix multi-vector multiplication.
SC
Daichi Fujiki, Niladrish Chatterjee, Donghyuk Lee, Mike O'Connor
2018 A* conf
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks.
HPCA
Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Youngeun Kwon, Stephen W. Keckler
2018 A* conf
Reducing Data Transfer Energy by Exploiting Similarity within a Data Transaction.
HPCA
Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee
2018 J jnl
Voltron: Understanding and Exploiting the Voltage-Latency-Reliability Trade-Offs in Modern DRAM Chips to Improve Energy Efficiency.
CoRR
Kevin K. Chang, Abdullah Giray Yaglikçi, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu
2018 — conf
What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study.
SIGMETRICS (Abstracts)
Saugata Ghose, Abdullah Giray Yaglikçi, Raghav Gupta, Donghyuk Lee, Kais Kudrolli, William X. Liu, Hasan Hassan, Kevin K. Chang, Niladrish Chatterjee, Aditya Agrawal, Mike O'Connor, Onur Mutlu
2018 J jnl
What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study.
CoRR
Saugata Ghose, Abdullah Giray Yaglikçi, Raghav Gupta, Donghyuk Lee, Kais Kudrolli, William X. Liu, Hasan Hassan, Kevin K. Chang, Niladrish Chatterjee, Aditya Agrawal, Mike O'Connor, Onur Mutlu
2018 J jnl
What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study.
Proc. ACM Meas. Anal. Comput. Syst.
Saugata Ghose, Abdullah Giray Yaglikçi, Raghav Gupta, Donghyuk Lee, Kais Kudrolli, William X. Liu, Hasan Hassan, Kevin K. Chang, Niladrish Chatterjee, Aditya Agrawal, Mike O'Connor, Onur Mutlu
2017 A* conf
Architecting an Energy-Efficient DRAM System for GPUs.
HPCA
Niladrish Chatterjee, Mike O'Connor, Donghyuk Lee, Daniel R. Johnson, Stephen W. Keckler, Minsoo Rhu, William J. Dally
2017 J jnl
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks.
CoRR
Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Stephen W. Keckler
2017 A* conf
Fine-grained DRAM: energy-efficient DRAM for extreme bandwidth systems.
MICRO
Mike O'Connor, Niladrish Chatterjee, Donghyuk Lee, John M. Wilson, Aditya Agrawal, Stephen W. Keckler, William J. Dally
2017 A conf
Toward standardized near-data processing with unrestricted data placement for GPUs.
SC
Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Kevin Hsieh
2017 J jnl
Understanding Reduced-Voltage Operation in Modern DRAM Chips: Characterization, Analysis, and Mechanisms.
CoRR
Kevin K. Chang, Abdullah Giray Yaglikçi, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu
2017 — conf
Understanding Reduced-Voltage Operation in Modern DRAM Devices: Experimental Characterization, Analysis, and Mechanisms.
SIGMETRICS (Abstracts)
Kevin K. Chang, Abdullah Giray Yaglikçi, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu
2017 J jnl
Understanding Reduced-Voltage Operation in Modern DRAM Devices: Experimental Characterization, Analysis, and Mechanisms.
Proc. ACM Meas. Anal. Comput. Syst.
Kevin K. Chang, Abdullah Giray Yaglikçi, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu
2016 — conf
CLARA: Circular Linked-List Auto and Self Refresh Architecture.
MEMSYS
Aditya Agrawal, Mike O'Connor, Evgeny Bolotin, Niladrish Chatterjee, Joel S. Emer, Stephen W. Keckler
2016 J jnl
Enabling Efficient Dynamic Resizing of Large DRAM Caches via A Hardware Consistent Hashing Mechanism.
CoRR
Kevin Kai-Wei Chang, Gabriel H. Loh, Mithuna Thottethodi, Yasuko Eckert, Mike O'Connor, Srilatha Manne, Lisa Hsu, Lavanya Subramanian, Onur Mutlu
2016 A* conf
Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems.
ISCA
Kevin Hsieh, Eiman Ebrahimi, Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Nandita Vijaykumar, Onur Mutlu, Stephen W. Keckler
2015 A* conf
A variable warp size architecture.
ISCA
Timothy G. Rogers, Daniel R. Johnson, Mike O'Connor, Stephen W. Keckler
2015 J jnl
Designing Efficient Heterogeneous Memory Architectures.
IEEE Micro
Evgeny Bolotin, David W. Nellans, Oreste Villa, Mike O'Connor, Alex Ramírez, Stephen W. Keckler
2015 Misc conf
Exploiting asymmetry in Booth-encoded multipliers for reduced energy multiplication.
ACSSC
Mike O'Connor, Earl E. Swartzlander Jr.
2015 A* conf
Flexible software profiling of GPU architectures.
ISCA
Mark Stephenson, Siva Kumar Sastry Hari, Yunsup Lee, Eiman Ebrahimi, Daniel R. Johnson, David W. Nellans, Mike O'Connor, Stephen W. Keckler
2015 — conf
MemcachedGPU: scaling-up scale-out key-value stores.
SoCC
Tayler H. Hetherington, Mike O'Connor, Tor M. Aamodt
2015 A* conf
Page Placement Strategies for GPUs within Heterogeneous Memory Systems.
ASPLOS
Neha Agarwal, David W. Nellans, Mark Stephenson, Mike O'Connor, Stephen W. Keckler
2015 A* conf
Priority-based cache allocation in throughput processors.
HPCA
Dong Li, Minsoo Rhu, Daniel R. Johnson, Mike O'Connor, Mattan Erez, Doug Burger, Donald S. Fussell, Stephen W. Redder
2015 J jnl
Toggle-Aware Compression for GPUs.
IEEE Comput. Archit. Lett.
Gennady Pekhimenko, Evgeny Bolotin, Mike O'Connor, Onur Mutlu, Todd C. Mowry, Stephen W. Keckler
2015 A* conf
Unlocking bandwidth for GPUs in CC-NUMA systems.
HPCA
Neha Agarwal, David W. Nellans, Mike O'Connor, Stephen W. Keckler, Thomas F. Wenisch
2014 J jnl
A Configurable and Strong RAS Solution for Die-Stacked DRAM Caches.
IEEE Micro
Jaewoong Sim, Gabriel H. Loh, Vilas Sridharan, Mike O'Connor
2014 A* conf
A scalable multi-path microarchitecture for efficient GPU control flow.
HPCA
Ahmed ElTantawy, Jessica Wenjie Ma, Mike O'Connor, Tor M. Aamodt
2014 J jnl
Cache Coherence for GPU Architectures.
IEEE Micro
Inderpreet Singh, Arrvindh Shriraman, Wilson W. L. Fung, Mike O'Connor, Tor M. Aamodt
2014 J jnl
Learning your limit: managing massively multithreaded caches through scheduling.
Commun. ACM
Timothy G. Rogers, Mike O'Connor, Tor M. Aamodt
2014 A conf
Managing DRAM Latency Divergence in Irregular GPGPU Applications.
SC
Niladrish Chatterjee, Mike O'Connor, Gabriel H. Loh, Nuwan Jayasena, Rajeev Balasubramonian
2014 A conf
Scaling the Power Wall: A Path to Exascale.
SC
Oreste Villa, Daniel R. Johnson, Mike O'Connor, Evgeny Bolotin, David W. Nellans, Justin Luitjens, Nikolai Sakharnykh, Peng Wang, Paulius Micikevicius, Anthony Scudiero, Stephen W. Keckler, William J. Dally
2013 A* conf
Cache coherence for GPU architectures.
HPCA
Inderpreet Singh, Arrvindh Shriraman, Wilson W. L. Fung, Mike O'Connor, Tor M. Aamodt
2013 J jnl
Cache-Conscious Thread Scheduling for Massively Multithreaded Processors.
IEEE Micro
Timothy G. Rogers, Mike O'Connor, Tor M. Aamodt
2013 A* conf
Divergence-aware warp scheduling.
MICRO
Timothy G. Rogers, Mike O'Connor, Tor M. Aamodt
2013 A* conf
GPUDet: a deterministic GPU architecture.
ASPLOS
Hadi Jooybar, Wilson W. L. Fung, Mike O'Connor, Joseph Devietti, Tor M. Aamodt
2013 A* conf
Resilient die-stacked DRAM caches.
ISCA
Jaewoong Sim, Gabriel H. Loh, Vilas Sridharan, Mike O'Connor
2012 A* conf
A Mostly-Clean DRAM Cache for Effective Hit Speculation and Self-Balancing Dispatch.
MICRO
Jaewoong Sim, Gabriel H. Loh, Hyesoon Kim, Mike O'Connor, Mithuna Thottethodi
2012 — conf
Accelerated processing and the Fusion System Architecture.
ASP-DAC
Mike O'Connor
2012 A* conf
Cache-Conscious Wavefront Scheduling.
MICRO
Timothy G. Rogers, Mike O'Connor, Tor M. Aamodt
2012 B conf
Characterizing and evaluating a key-value store application on heterogeneous CPU-GPU systems.
ISPASS
Tayler H. Hetherington, Timothy G. Rogers, Lisa Hsu, Mike O'Connor, Tor M. Aamodt
2006 Misc conf
Network Communication as a Service-Oriented Capability.
High Performance Computing Workshop
William E. Johnston, Joe Metzger, Mike O'Connor, Michael Collins, Joseph Burrescia, Eli Dart, Jim Gagliardi, Chin Guok, Kevin Oberman
2001 J jnl
The iFlow Address Processor.
IEEE Micro
Mike O'Connor, Christopher A. Gomez
1999 J jnl
Performance analysis and validation of the picoJava processor.
IEEE Micro
Sudheendra Hangal, Mike O'Connor
1998 J jnl
PicoJava: A Direct Execution Engine For Java Bytecode.
Computer
Harlan McGhan, Mike O'Connor
1998 — conf
Tracking Web Usage with Network Flight Recorder.
WebNet
Chad Childers, Linda Bangert, Mike O'Connor
1997 — conf
Open Standard Content Cookies: Utility vs. Privacy.
WebNet
Chad Childers, Iain O'Cain, Linda Bangert, Mike O'Connor