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ORCIDPaulius Micikevicius
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2020 – today
- 2023
[i8]Bita Darvish Rouhani, Ritchie Zhao, Ankit More, Mathew Hall, Alireza Khodamoradi, Summer Deng, Dhruv Choudhary, Marius Cornea, Eric Dellinger, Kristof Denolf, Dusan Stosic, Venmugil Elango, Maximilian Golub, Alexander Heinecke, Phil James-Roxby, Dharmesh Jani, Gaurav Kolhe, Martin Langhammer, Ada Li, Levi Melnick, Maral Mesmakhosroshahi, Andres Rodriguez, Michael Schulte, Rasoul Shafipour, Lei Shao, Michael Y. Siu, Pradeep Dubey, Paulius Micikevicius, Maxim Naumov, Colin Verilli, Ralph Wittig, Doug Burger, Eric S. Chung:
Microscaling Data Formats for Deep Learning. CoRR abs/2310.10537 (2023)- 2022
- [i7]Paulius Micikevicius, Dusan Stosic, Neil Burgess, Marius Cornea, Pradeep Dubey, Richard Grisenthwaite, Sangwon Ha, Alexander Heinecke, Patrick Judd, John Kamalu, Naveen Mellempudi, Stuart F. Oberman, Mohammad Shoeybi, Michael Y. Siu, Hao Wu:
FP8 Formats for Deep Learning. CoRR abs/2209.05433 (2022) - 2021
- [i6]Asit K. Mishra, Jorge Albericio Latorre, Jeff Pool, Darko Stosic, Dusan Stosic, Ganesh Venkatesh, Chong Yu, Paulius Micikevicius:
Accelerating Sparse Deep Neural Networks. CoRR abs/2104.08378 (2021) - 2020
- [j4]Peter Mattson, Hanlin Tang, Gu-Yeon Wei, Carole-Jean Wu, Vijay Janapa Reddi, Christine Cheng, Cody Coleman, Greg Diamos, David Kanter, Paulius Micikevicius, David A. Patterson, Guenther Schmuelling:
MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance. IEEE Micro 40(2): 8-16 (2020) - [c9]Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, Maximilien Breughe, Mark Charlebois, William Chou, Ramesh Chukka, Cody Coleman, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson
, Frank Wei, Ephrem Wu, Lingjie Xu, Koichi Yamada, Bing Yu, George Yuan, Aaron Zhong, Peizhao Zhang, Yuchen Zhou:
MLPerf Inference Benchmark. ISCA 2020: 446-459 - [c8]Peter Mattson, Christine Cheng, Gregory F. Diamos, Cody Coleman, Paulius Micikevicius, David A. Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debo Dutta, Udit Gupta, Kim M. Hazelwood, Andy Hock, Xinyuan Huang, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia:
MLPerf Training Benchmark. MLSys 2020 - [i5]Hao Wu, Patrick Judd, Xiaojie Zhang, Mikhail Isaev, Paulius Micikevicius:
Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation. CoRR abs/2004.09602 (2020)
2010 – 2019
- 2019
- [i4]Peter Mattson, Christine Cheng, Cody Coleman, Greg Diamos, Paulius Micikevicius, David A. Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debojyoti Dutta, Udit Gupta, Kim M. Hazelwood, Andrew Hock, Xinyuan Huang, Bill Jia, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Guokai Ma, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia:
MLPerf Training Benchmark. CoRR abs/1910.01500 (2019) - [i3]Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, Maximilien Breughe, Mark Charlebois, William Chou, Ramesh Chukka, Cody Coleman, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson, Frank Wei, Ephrem Wu, Lingjie Xu, Koichi Yamada, Bing Yu, George Yuan, Aaron Zhong, Peizhao Zhang, Yuchen Zhou:
MLPerf Inference Benchmark. CoRR abs/1911.02549 (2019) - 2018
- [c7]Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu:
Mixed Precision Training. ICLR (Poster) 2018 - [i2]Oleksii Kuchaiev, Boris Ginsburg, Igor Gitman, Vitaly Lavrukhin, Carl Case, Paulius Micikevicius:
OpenSeq2Seq: extensible toolkit for distributed and mixed precision training of sequence-to-sequence models. CoRR abs/1805.10387 (2018) - 2017
- [i1]Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu:
Mixed Precision Training. CoRR abs/1710.03740 (2017) - 2015
- [c6]Mahesh Ravishankar, Paulius Micikevicius, Vinod Grover:
Fusing convolution kernels through tiling. ARRAY@PLDI 2015: 43-48 - 2014
- [c5]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: 830-841 - 2013
- [j3]Ilene Carpenter, Rick Archibald, Katherine J. Evans, Jeffrey M. Larkin, Paulius Micikevicius, Matthew R. Norman, James Rosinski, Jim Schwarzmeier, Mark A. Taylor:
Progress towards accelerating HOMME on hybrid multi-core systems. Int. J. High Perform. Comput. Appl. 27(3): 335-347 (2013)
2000 – 2009
- 2009
- [c4]Paulius Micikevicius:
3D finite difference computation on GPUs using CUDA. GPGPU 2009: 79-84 - 2007
- [c3]Paulius Micikevicius, Narsingh Deo:
Exploring Topological Properties of NMR Graphs. BIBE 2007: 1304-1307 - 2005
- [j2]Paulius Micikevicius, Narsingh Deo:
Cluster Computing for Determining Three-Dimensional Protein Structure. J. Supercomput. 34(3): 243-271 (2005) - 2004
- [c2]Paulius Micikevicius:
General Parallel Computation on Commodity Graphics Hardware: Case Study with the All-Pairs Shortest Paths Problem. PDPTA 2004: 1359-1365 - 2002
- [j1]Christopher B. Stapleton, Charles E. Hughes, J. Michael Moshell, Paulius Micikevicius, Marty Altman:
Applying Mixed Reality to Entertainment. Computer 35(12): 122-124 (2002) - [c1]Narsingh Deo, Paulius Micikevicius:
Coarse-Grained Parallelization of Distance-Bound Smoothing for the Molecular Conformation Problem. IWDC 2002: 55-66
Coauthor Index
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