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ORCIDMike O'Connor
- > Home > Persons > Mike O'Connor
Publications
- 2022
[c36]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: 1001-1013- 2021
- [c35]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: 48-58 - 2019
- [c32]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: 293-303 - [c31]Daichi Fujiki, Niladrish Chatterjee, Donghyuk Lee, Mike O'Connor:
Near-memory data transformation for efficient sparse matrix multi-vector multiplication. SC 2019: 55:1-55:17 - [i6]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 abs/1904.01691 (2019) - 2018
- [j11]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): 38:1-38:41 (2018) - [c30]Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee:
Reducing Data Transfer Energy by Exploiting Similarity within a Data Transaction. HPCA 2018: 40-51 - [c29]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: 78-91 - [c28]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: 110 - [i5]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 abs/1805.03175 (2018) - [i4]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 abs/1807.05102 (2018) - 2017
- [j10]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): 10:1-10:42 (2017) - [c27]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: 73-84 - [c26]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: 41-54 - [c25]Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Kevin Hsieh:
Toward standardized near-data processing with unrestricted data placement for GPUs. SC 2017: 24 - [c24]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: 52 - [i3]Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Stephen W. Keckler:
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks. CoRR abs/1705.01626 (2017) - [i2]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 abs/1705.10292 (2017) - 2016
- [c23]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: 204-216 - [c22]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: 338-349 - 2014
- [c13]Niladrish Chatterjee, Mike O'Connor, Gabriel H. Loh, Nuwan Jayasena, Rajeev Balasubramonian:
Managing DRAM Latency Divergence in Irregular GPGPU Applications. SC 2014: 128-139
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