Mike O'Connor

Publication Activity (10 Years)

Years Active: 1997-2023
Publications (10 Years): 26

Top Topics

Data Processing

Top Venues

Publications

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
Symphony: Orchestrating Sparse and Dense Tensors with Hierarchical Heterogeneous Processing. ACM Trans. Comput. Syst. 41 (2023)
Michael B. Sullivan, Nirmal R. Saxena, Mike O'Connor, Donghyuk Lee, Paul Racunas, Saurabh Hukerikar, Timothy Tsai, Siva Kumar Sastry Hari, Stephen W. Keckler
Characterizing and Mitigating Soft Errors in GPU DRAM. IEEE Micro 42 (4) (2022)
Mike O'Connor, Donghyuk Lee, Niladrish Chatterjee, Michael B. Sullivan, Stephen W. Keckler
Saving PAM4 Bus Energy with SMOREs: Sparse Multi-level Opportunistic Restricted Encodings. HPCA (2022)
Michael B. Sullivan, Nirmal R. Saxena, Mike O'Connor, Donghyuk Lee, Paul Racunas, Saurabh Hukerikar, Timothy Tsai, Siva Kumar Sastry Hari, Stephen W. Keckler
Characterizing and Mitigating Soft Errors in GPU DRAM. MICRO (2021)
Atefeh Mehrabi, Donghyuk Lee, Niladrish Chatterjee, Daniel J. Sorin, Benjamin C. Lee, Mike O'Connor
Learning Sparse Matrix Row Permutations for Efficient SpMM on GPU Architectures. ISPASS (2021)
Esha Choukse, Michael B. Sullivan, Mike O'Connor, Mattan Erez, Jeff Pool, David W. Nellans, Stephen W. Keckler
Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs. ISCA (2020)
Sangkug Lym, Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee, Mattan Erez
DeLTA: GPU Performance Model for Deep Learning Applications with In-Depth Memory System Traffic Analysis. ISPASS (2019)
Esha Choukse, Michael B. Sullivan, Mike O'Connor, Mattan Erez, Jeff Pool, David W. Nellans, Stephen W. Keckler
Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs. CoRR (2019)
Daichi Fujiki, Niladrish Chatterjee, Donghyuk Lee, Mike O'Connor
Near-memory data transformation for efficient sparse matrix multi-vector multiplication. SC (2019)
Sangkug Lym, Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee, Mattan Erez
DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis. CoRR (2019)
Kevin K. Chang, Abdullah Giray Yaglikçi, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu
Voltron: Understanding and Exploiting the Voltage-Latency-Reliability Trade-Offs in Modern DRAM Chips to Improve Energy Efficiency. CoRR (2018)
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
What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study. CoRR (2018)
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
What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study. Proc. ACM Meas. Anal. Comput. Syst. 2 (3) (2018)
Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee
Reducing Data Transfer Energy by Exploiting Similarity within a Data Transaction. HPCA (2018)
Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Youngeun Kwon, Stephen W. Keckler
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks. HPCA (2018)
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
What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study. SIGMETRICS (Abstracts) (2018)
Kevin K. Chang, Abdullah Giray Yaglikçi, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu
Understanding Reduced-Voltage Operation in Modern DRAM Chips: Characterization, Analysis, and Mechanisms. CoRR (2017)
Kevin K. Chang, Abdullah Giray Yaglikçi, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu
Understanding Reduced-Voltage Operation in Modern DRAM Devices: Experimental Characterization, Analysis, and Mechanisms. Proc. ACM Meas. Anal. Comput. Syst. 1 (1) (2017)
Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Kevin Hsieh
Toward standardized near-data processing with unrestricted data placement for GPUs. SC (2017)
Mike O'Connor, Niladrish Chatterjee, Donghyuk Lee, John M. Wilson, Aditya Agrawal, Stephen W. Keckler, William J. Dally
Fine-grained DRAM: energy-efficient DRAM for extreme bandwidth systems. MICRO (2017)
Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Stephen W. Keckler
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks. CoRR (2017)
Niladrish Chatterjee, Mike O'Connor, Donghyuk Lee, Daniel R. Johnson, Stephen W. Keckler, Minsoo Rhu, William J. Dally
Architecting an Energy-Efficient DRAM System for GPUs. HPCA (2017)
Kevin K. Chang, Abdullah Giray Yaglikçi, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu
Understanding Reduced-Voltage Operation in Modern DRAM Devices: Experimental Characterization, Analysis, and Mechanisms. SIGMETRICS (Abstracts) (2017)
Aditya Agrawal, Mike O'Connor, Evgeny Bolotin, Niladrish Chatterjee, Joel S. Emer, Stephen W. Keckler
CLARA: Circular Linked-List Auto and Self Refresh Architecture. MEMSYS (2016)
Kevin Kai-Wei Chang, Gabriel H. Loh, Mithuna Thottethodi, Yasuko Eckert, Mike O'Connor, Srilatha Manne, Lisa Hsu, Lavanya Subramanian, Onur Mutlu
Enabling Efficient Dynamic Resizing of Large DRAM Caches via A Hardware Consistent Hashing Mechanism. CoRR (2016)
Kevin Hsieh, Eiman Ebrahimi, Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Nandita Vijaykumar, Onur Mutlu, Stephen W. Keckler
Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems. ISCA (2016)
Evgeny Bolotin, David W. Nellans, Oreste Villa, Mike O'Connor, Alex Ramírez, Stephen W. Keckler
Designing Efficient Heterogeneous Memory Architectures. IEEE Micro 35 (4) (2015)
Neha Agarwal, David W. Nellans, Mark Stephenson, Mike O'Connor, Stephen W. Keckler
Page Placement Strategies for GPUs within Heterogeneous Memory Systems. ASPLOS (2015)
Mark Stephenson, Siva Kumar Sastry Hari, Yunsup Lee, Eiman Ebrahimi, Daniel R. Johnson, David W. Nellans, Mike O'Connor, Stephen W. Keckler
Flexible software profiling of GPU architectures. ISCA (2015)
Neha Agarwal, David W. Nellans, Mike O'Connor, Stephen W. Keckler, Thomas F. Wenisch
Unlocking bandwidth for GPUs in CC-NUMA systems. HPCA (2015)
Dong Li, Minsoo Rhu, Daniel R. Johnson, Mike O'Connor, Mattan Erez, Doug Burger, Donald S. Fussell, Stephen W. Redder
Priority-based cache allocation in throughput processors. HPCA (2015)
Timothy G. Rogers, Daniel R. Johnson, Mike O'Connor, Stephen W. Keckler
A variable warp size architecture. ISCA (2015)
Mike O'Connor, Earl E. Swartzlander Jr.
Exploiting asymmetry in Booth-encoded multipliers for reduced energy multiplication. ACSSC (2015)
Gennady Pekhimenko, Evgeny Bolotin, Mike O'Connor, Onur Mutlu, Todd C. Mowry, Stephen W. Keckler
Toggle-Aware Compression for GPUs. IEEE Comput. Archit. Lett. 14 (2) (2015)
Tayler H. Hetherington, Mike O'Connor, Tor M. Aamodt
MemcachedGPU: scaling-up scale-out key-value stores. SoCC (2015)
Timothy G. Rogers, Mike O'Connor, Tor M. Aamodt
Learning your limit: managing massively multithreaded caches through scheduling. Commun. ACM 57 (12) (2014)
Jaewoong Sim, Gabriel H. Loh, Vilas Sridharan, Mike O'Connor
A Configurable and Strong RAS Solution for Die-Stacked DRAM Caches. IEEE Micro 34 (3) (2014)
Niladrish Chatterjee, Mike O'Connor, Gabriel H. Loh, Nuwan Jayasena, Rajeev Balasubramonian
Managing DRAM Latency Divergence in Irregular GPGPU Applications. SC (2014)
Ahmed ElTantawy, Jessica Wenjie Ma, Mike O'Connor, Tor M. Aamodt
A scalable multi-path microarchitecture for efficient GPU control flow. HPCA (2014)
Inderpreet Singh, Arrvindh Shriraman, Wilson W. L. Fung, Mike O'Connor, Tor M. Aamodt
Cache Coherence for GPU Architectures. IEEE Micro 34 (3) (2014)
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
Scaling the Power Wall: A Path to Exascale. SC (2014)
Hadi Jooybar, Wilson W. L. Fung, Mike O'Connor, Joseph Devietti, Tor M. Aamodt
GPUDet: a deterministic GPU architecture. ASPLOS (2013)
Timothy G. Rogers, Mike O'Connor, Tor M. Aamodt
Cache-Conscious Thread Scheduling for Massively Multithreaded Processors. IEEE Micro 33 (3) (2013)
Timothy G. Rogers, Mike O'Connor, Tor M. Aamodt
Divergence-aware warp scheduling. MICRO (2013)
Jaewoong Sim, Gabriel H. Loh, Vilas Sridharan, Mike O'Connor
Resilient die-stacked DRAM caches. ISCA (2013)
Inderpreet Singh, Arrvindh Shriraman, Wilson W. L. Fung, Mike O'Connor, Tor M. Aamodt
Cache coherence for GPU architectures. HPCA (2013)
Mike O'Connor
Accelerated processing and the Fusion System Architecture. ASP-DAC (2012)
Jaewoong Sim, Gabriel H. Loh, Hyesoon Kim, Mike O'Connor, Mithuna Thottethodi
A Mostly-Clean DRAM Cache for Effective Hit Speculation and Self-Balancing Dispatch. MICRO (2012)
Timothy G. Rogers, Mike O'Connor, Tor M. Aamodt
Cache-Conscious Wavefront Scheduling. MICRO (2012)
Tayler H. Hetherington, Timothy G. Rogers, Lisa Hsu, Mike O'Connor, Tor M. Aamodt
Characterizing and evaluating a key-value store application on heterogeneous CPU-GPU systems. ISPASS (2012)
William E. Johnston, Joe Metzger, Mike O'Connor, Michael Collins, Joseph Burrescia, Eli Dart, Jim Gagliardi, Chin Guok, Kevin Oberman
Network Communication as a Service-Oriented Capability. High Performance Computing Workshop (2006)
Mike O'Connor, Christopher A. Gomez
The iFlow Address Processor. IEEE Micro 21 (2) (2001)
Sudheendra Hangal, Mike O'Connor
Performance analysis and validation of the picoJava processor. IEEE Micro 19 (3) (1999)
Chad Childers, Linda Bangert, Mike O'Connor
Tracking Web Usage with Network Flight Recorder. WebNet (1998)
Harlan McGhan, Mike O'Connor
PicoJava: A Direct Execution Engine For Java Bytecode. Computer 31 (10) (1998)
Chad Childers, Iain O'Cain, Linda Bangert, Mike O'Connor
Open Standard Content Cookies: Utility vs. Privacy. WebNet (1997)