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2020 – today
- 2023
[c32]Norman P. Jouppi
, George Kurian, Sheng Li, Peter C. Ma, Rahul Nagarajan, Lifeng Nai, Nishant Patil, Suvinay Subramanian, Andy Swing, Brian Towles, Cliff Young, Xiang Zhou, Zongwei Zhou, David A. Patterson:
TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings. ISCA 2023: 82:1-82:14- [c31]Trevor Gale, Deepak Narayanan, Cliff Young, Matei Zaharia:
MegaBlocks: Efficient Sparse Training with Mixture-of-Experts. MLSys 2023 - [i9]Norman P. Jouppi, George Kurian, Sheng Li, Peter C. Ma, Rahul Nagarajan, Lifeng Nai, Nishant Patil, Suvinay Subramanian, Andy Swing, Brian Towles, Cliff Young, Xiang Zhou, Zongwei Zhou, David A. Patterson:
TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings. CoRR abs/2304.01433 (2023) - 2022
- [i8]Trevor Gale, Deepak Narayanan, Cliff Young, Matei Zaharia:
MegaBlocks: Efficient Sparse Training with Mixture-of-Experts. CoRR abs/2211.15841 (2022) - 2021
- [j12]Priyanka Raina, Cliff Young:
Best Papers From Hot Chips 32. IEEE Micro 41(2): 6 (2021) - [j11]Thomas Norrie, Nishant Patil, Doe Hyun Yoon, George Kurian, Sheng Li, James Laudon, Cliff Young, Norman P. Jouppi, David A. Patterson:
The Design Process for Google's Training Chips: TPUv2 and TPUv3. IEEE Micro 41(2): 56-63 (2021) - [j10]Cliff Young:
Atari's ANTIC: My Favorite Microprocessor. IEEE Micro 41(6): 161 (2021) - [c30]Norman P. Jouppi, Doe Hyun Yoon, Matthew Ashcraft, Mark Gottscho, Thomas B. Jablin, George Kurian, James Laudon, Sheng Li, Peter C. Ma, Xiaoyu Ma, Thomas Norrie, Nishant Patil, Sushma Prasad, Cliff Young, Zongwei Zhou, David A. Patterson:
Ten Lessons From Three Generations Shaped Google's TPUv4i : Industrial Product. ISCA 2021: 1-14 - [c29]Sameer Kumar, Yu Emma Wang, Cliff Young, James Bradbury, Naveen Kumar, Dehao Chen, Andy Swing:
Exploring the Limits of Concurrency in ML Training on Google TPUS. MLSys 2021 - 2020
- [j9]Norman P. Jouppi, Doe Hyun Yoon, George Kurian, Sheng Li, Nishant Patil, James Laudon, Cliff Young, David A. Patterson:
A domain-specific supercomputer for training deep neural networks. Commun. ACM 63(7): 67-78 (2020) - [c28]Soroush Ghodrati, Hardik Sharma, Cliff Young, Nam Sung Kim, Hadi Esmaeilzadeh:
Bit-Parallel Vector Composability for Neural Acceleration. DAC 2020: 1-6 - [c27]Thomas Norrie, Nishant Patil, Doe Hyun Yoon, George Kurian, Sheng Li, James Laudon, Cliff Young, Norman P. Jouppi, David A. Patterson:
Google's Training Chips Revealed: TPUv2 and TPUv3. Hot Chips Symposium 2020: 1-70 - [c26]Soroush Ghodrati, Byung Hoon Ahn, Joon Kyung Kim, Sean Kinzer, Brahmendra Reddy Yatham, Navateja Alla, Hardik Sharma, Mohammad Alian, Eiman Ebrahimi, Nam Sung Kim, Cliff Young, Hadi Esmaeilzadeh:
Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks. MICRO 2020: 681-697 - [c25]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 - [c24]Trevor Gale, Matei Zaharia, Cliff Young, Erich Elsen:
Sparse GPU kernels for deep learning. SC 2020: 17 - [i7]Soroush Ghodrati, Hardik Sharma, Cliff Young, Nam Sung Kim, Hadi Esmaeilzadeh:
Bit-Parallel Vector Composability for Neural Acceleration. CoRR abs/2004.05333 (2020) - [i6]Trevor Gale, Matei Zaharia, Cliff Young, Erich Elsen:
Sparse GPU Kernels for Deep Learning. CoRR abs/2006.10901 (2020) - [i5]Sameer Kumar, James Bradbury, Cliff Young, Yu Emma Wang, Anselm Levskaya, Blake A. Hechtman, Dehao Chen, HyoukJoong Lee, Mehmet Deveci, Naveen Kumar, Pankaj Kanwar, Shibo Wang, Skye Wanderman-Milne, Steve Lacy, Tao Wang, Tayo Oguntebi, Yazhou Zu, Yuanzhong Xu, Andy Swing:
Exploring the limits of Concurrency in ML Training on Google TPUs. CoRR abs/2011.03641 (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) - 2018
- [j8]Norman P. Jouppi, Cliff Young, Nishant Patil, David A. Patterson:
A domain-specific architecture for deep neural networks. Commun. ACM 61(9): 50-59 (2018) - [j7]Jeff Dean, David A. Patterson, Cliff Young:
A New Golden Age in Computer Architecture: Empowering the Machine-Learning Revolution. IEEE Micro 38(2): 21-29 (2018) - [j6]Norman P. Jouppi, Cliff Young, Nishant Patil, David A. Patterson:
Motivation for and Evaluation of the First Tensor Processing Unit. IEEE Micro 38(3): 10-19 (2018) - [c23]Noam Shazeer, Youlong Cheng, Niki Parmar, Dustin Tran, Ashish Vaswani, Penporn Koanantakool, Peter Hawkins, HyoukJoong Lee, Mingsheng Hong, Cliff Young, Ryan Sepassi, Blake A. Hechtman:
Mesh-TensorFlow: Deep Learning for Supercomputers. NeurIPS 2018: 10435-10444 - [i3]Noam Shazeer, Youlong Cheng, Niki Parmar, Dustin Tran, Ashish Vaswani, Penporn Koanantakool, Peter Hawkins, HyoukJoong Lee, Mingsheng Hong, Cliff Young, Ryan Sepassi, Blake A. Hechtman:
Mesh-TensorFlow: Deep Learning for Supercomputers. CoRR abs/1811.02084 (2018) - 2017
- [c22]Norman P. Jouppi, Cliff Young, Nishant Patil, David A. Patterson, Gaurav Agrawal, Raminder Bajwa, Sarah Bates, Suresh Bhatia, Nan Boden, Al Borchers, Rick Boyle, Pierre-luc Cantin, Clifford Chao, Chris Clark, Jeremy Coriell, Mike Daley, Matt Dau, Jeffrey Dean, Ben Gelb, Tara Vazir Ghaemmaghami, Rajendra Gottipati, William Gulland, Robert Hagmann, C. Richard Ho, Doug Hogberg, John Hu, Robert Hundt, Dan Hurt, Julian Ibarz, Aaron Jaffey, Alek Jaworski, Alexander Kaplan, Harshit Khaitan, Daniel Killebrew, Andy Koch, Naveen Kumar, Steve Lacy, James Laudon, James Law, Diemthu Le, Chris Leary, Zhuyuan Liu, Kyle Lucke, Alan Lundin, Gordon MacKean, Adriana Maggiore, Maire Mahony, Kieran Miller, Rahul Nagarajan, Ravi Narayanaswami, Ray Ni, Kathy Nix, Thomas Norrie, Mark Omernick, Narayana Penukonda, Andy Phelps, Jonathan Ross, Matt Ross, Amir Salek, Emad Samadiani, Chris Severn, Gregory Sizikov, Matthew Snelham, Jed Souter, Dan Steinberg, Andy Swing, Mercedes Tan, Gregory Thorson, Bo Tian, Horia Toma, Erick Tuttle, Vijay Vasudevan, Richard Walter, Walter Wang, Eric Wilcox, Doe Hyun Yoon:
In-Datacenter Performance Analysis of a Tensor Processing Unit. ISCA 2017: 1-12 - [i2]Norman P. Jouppi, Cliff Young, Nishant Patil, David A. Patterson, Gaurav Agrawal, Raminder Bajwa, Sarah Bates, Suresh Bhatia, Nan Boden, Al Borchers, Rick Boyle, Pierre-luc Cantin, Clifford Chao, Chris Clark, Jeremy Coriell, Mike Daley, Matt Dau, Jeffrey Dean, Ben Gelb, Tara Vazir Ghaemmaghami, Rajendra Gottipati, William Gulland, Robert Hagmann, C. Richard Ho, Doug Hogberg, John Hu, Robert Hundt, Dan Hurt, Julian Ibarz, Aaron Jaffey, Alek Jaworski, Alexander Kaplan, Harshit Khaitan, Andy Koch, Naveen Kumar, Steve Lacy, James Laudon, James Law, Diemthu Le, Chris Leary, Zhuyuan Liu, Kyle Lucke, Alan Lundin, Gordon MacKean, Adriana Maggiore, Maire Mahony, Kieran Miller, Rahul Nagarajan, Ravi Narayanaswami, Ray Ni, Kathy Nix, Thomas Norrie, Mark Omernick, Narayana Penukonda, Andy Phelps, Jonathan Ross, Amir Salek, Emad Samadiani, Chris Severn, Gregory Sizikov, Matthew Snelham, Jed Souter, Dan Steinberg, Andy Swing, Mercedes Tan, Gregory Thorson, Bo Tian, Horia Toma, Erick Tuttle, Vijay Vasudevan, Richard Walter, Walter Wang, Eric Wilcox, Doe Hyun Yoon:
In-Datacenter Performance Analysis of a Tensor Processing Unit. CoRR abs/1704.04760 (2017) - 2016
- [i1]Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Lukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, Jeffrey Dean:
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation. CoRR abs/1609.08144 (2016) - 2014
- [c21]David E. Shaw, J. P. Grossman, Joseph A. Bank, Brannon Batson, J. Adam Butts, Jack C. Chao, Martin M. Deneroff, Ron O. Dror, Amos Even, Christopher H. Fenton, Anthony Forte, Joseph Gagliardo, Gennette Gill, Brian Greskamp, C. Richard Ho, Douglas J. Ierardi, Lev Iserovich, Jeffrey Kuskin, Richard H. Larson, Timothy Layman, Li-Siang Lee, Adam K. Lerer, Chester Li, Daniel Killebrew, Kenneth M. Mackenzie, Shark Yeuk-Hai Mok, Mark A. Moraes, Rolf Mueller, Lawrence J. Nociolo, Jon L. Peticolas, Terry Quan, Daniel Ramot, John K. Salmon, Daniele Paolo Scarpazza, U. Ben Schafer, Naseer Siddique, Christopher W. Snyder, Jochen Spengler, Ping Tak Peter Tang, Michael Theobald, Horia Toma, Brian Towles, Benjamin Vitale, Stanley C. Wang, Cliff Young:
Anton 2: Raising the Bar for Performance and Programmability in a Special-Purpose Molecular Dynamics Supercomputer. SC 2014: 41-53 - 2013
- [c20]J. P. Grossman, Jeffrey Kuskin, Joseph A. Bank, Michael Theobald, Ron O. Dror, Douglas J. Ierardi, Richard H. Larson, U. Ben Schafer, Brian Towles, Cliff Young, David E. Shaw:
Hardware support for fine-grained event-driven computation in Anton 2. ASPLOS 2013: 549-560 - 2011
- [j5]Ron O. Dror, J. P. Grossman, Kenneth M. Mackenzie, Brian Towles, Edmond Chow, John K. Salmon, Cliff Young, Joseph A. Bank, Brannon Batson, Martin M. Deneroff, Jeffrey Kuskin, Richard H. Larson, Mark A. Moraes, David E. Shaw:
Overcoming Communication Latency Barriers in Massively Parallel Scientific Computation. IEEE Micro 31(3): 8-19 (2011) - [r2]Ron O. Dror, Cliff Young, David E. Shaw:
Anton, A Special-Purpose Molecular Simulation Machine. Encyclopedia of Parallel Computing 2011: 60-71 - [r1]Joseph A. Fisher, Paolo Faraboschi, Cliff Young:
VLIW Processors. Encyclopedia of Parallel Computing 2011: 2135-2142 - 2010
- [c19]Ron O. Dror, J. P. Grossman, Kenneth M. Mackenzie, Brian Towles, Edmond Chow, John K. Salmon, Cliff Young, Joseph A. Bank, Brannon Batson, Martin M. Deneroff, Jeffrey Kuskin, Richard H. Larson, Mark A. Moraes, David E. Shaw:
Exploiting 162-Nanosecond End-to-End Communication Latency on Anton. SC 2010: 1-12
2000 – 2009
- 2009
- [c18]David E. Shaw, Ron O. Dror, John K. Salmon, J. P. Grossman, Kenneth M. Mackenzie, Joseph A. Bank, Cliff Young, Martin M. Deneroff, Brannon Batson, Kevin J. Bowers, Edmond Chow, Michael P. Eastwood, Doug Ierardi, John L. Klepeis, Jeffrey Kuskin, Richard H. Larson, Kresten Lindorff-Larsen, Paul Maragakis, Mark A. Moraes, Stefano Piana, Yibing Shan, Brian Towles:
Millisecond-scale molecular dynamics simulations on Anton. SC 2009 - [c17]David E. Shaw, Ron O. Dror, John K. Salmon, J. P. Grossman, Kenneth M. Mackenzie, Joseph A. Bank, Cliff Young, Martin M. Deneroff, Brannon Batson, Kevin J. Bowers, Edmond Chow, Michael P. Eastwood, Doug Ierardi, John L. Klepeis, Jeffrey Kuskin, Richard H. Larson, Kresten Lindorff-Larsen, Paul Maragakis, Mark A. Moraes, Stefano Piana, Yibing Shan, Brian Towles:
Millisecond-scale molecular dynamics simulations on Anton. SC 2009 - [c16]Cliff Young, Joseph A. Bank, Ron O. Dror, J. P. Grossman, John K. Salmon, David E. Shaw:
A 32x32x32, spatially distributed 3D FFT in four microseconds on Anton. SC 2009 - 2008
- [j4]David E. Shaw, Martin M. Deneroff, Ron O. Dror, Jeffrey Kuskin, Richard H. Larson, John K. Salmon, Cliff Young, Brannon Batson, Kevin J. Bowers, Jack C. Chao, Michael P. Eastwood, Joseph Gagliardo, J. P. Grossman, C. Richard Ho, Doug Ierardi, István Kolossváry, John L. Klepeis, Timothy Layman, Christine McLeavey, Mark A. Moraes, Rolf Mueller, Edward C. Priest, Yibing Shan, Jochen Spengler, Michael Theobald, Brian Towles, Stanley C. Wang:
Anton, a special-purpose machine for molecular dynamics simulation. Commun. ACM 51(7): 91-97 (2008) - [c15]J. P. Grossman, Cliff Young, Joseph A. Bank, Kenneth M. Mackenzie, Doug Ierardi, John K. Salmon, Ron O. Dror, David E. Shaw:
Simulation and embedded software development for Anton, a parallel machine with heterogeneous multicore ASICs. CODES+ISSS 2008: 125-130 - [c14]Richard H. Larson, John K. Salmon, Ron O. Dror, Martin M. Deneroff, Cliff Young, J. P. Grossman, Yibing Shan, John L. Klepeis, David E. Shaw:
High-throughput pairwise point interactions in Anton, a specialized machine for molecular dynamics simulation. HPCA 2008: 331-342 - [c13]Jeffrey Kuskin, Cliff Young, J. P. Grossman, Brannon Batson, Martin M. Deneroff, Ron O. Dror, David E. Shaw:
Incorporating flexibility in Anton, a specialized machine for molecular dynamics simulation. HPCA 2008: 343-354 - [c12]J. P. Grossman, John K. Salmon, C. Richard Ho, Doug Ierardi, Brian Towles, Brannon Batson, Jochen Spengler, Stanley C. Wang, Rolf Mueller, Michael Theobald, Cliff Young, Joseph Gagliardo, Martin M. Deneroff, Ron O. Dror, David E. Shaw:
Hierarchical simulation-based verification of Anton, a special-purpose parallel machine. ICCD 2008: 340-347 - 2007
- [c11]David E. Shaw, Martin M. Deneroff, Ron O. Dror, Jeffrey Kuskin, Richard H. Larson, John K. Salmon, Cliff Young, Brannon Batson, Kevin J. Bowers, Jack C. Chao, Michael P. Eastwood, Joseph Gagliardo, J. P. Grossman, C. Richard Ho, Doug Ierardi, István Kolossváry, John L. Klepeis, Timothy Layman, Christine McLeavey, Mark A. Moraes, Rolf Mueller, Edward C. Priest, Yibing Shan, Jochen Spengler, Michael Theobald, Brian Towles, Stanley C. Wang:
Anton, a special-purpose machine for molecular dynamics simulation. ISCA 2007: 1-12 - 2006
- [c10]Cliff Young:
Architectures and Algorithms for Biomolecular Simulation. USENIX ATC, General Track 2006 - 2005
- [b1]Joseph A. Fisher, Paolo Faraboschi, Cliff Young:
Embedded computing - a VLIW approach to architecture, compilers, and tools. Morgan Kaufmann 2005, ISBN 978-1-55860-766-8, pp. I-XXVI, 1-671 - 2001
- [j3]Paolo Faraboschi, Joseph A. Fisher, Cliff Young:
Instruction scheduling for instruction level parallel processors. Proc. IEEE 89(11): 1638-1659 (2001) - [c9]Cliff Young, Yagati N. Lakshman, Tom Szymanski, John H. Reppy, David L. Presotto, Rob Pike, Girija J. Narlikar, Sape J. Mullender, Eric Grosse:
Protium, an Infrastructure for Partitioned Applications. HotOS 2001: 47-52 - 2000
- [j2]Serap A. Savari, Cliff Young:
Comparing and Combining Profiles. J. Instr. Level Parallelism 2 (2000) - [c8]Stefanos Kaxiras, Cliff Young:
Coherence Communication Prediction in Shared-Memory Multiprocessors. HPCA 2000: 156-167
1990 – 1999
- 1999
- [j1]Cliff Young, Michael D. Smith:
Static correlated branch prediction. ACM Trans. Program. Lang. Syst. 21(5): 1028-1075 (1999) - 1998
- [c7]Cliff Young, Michael D. Smith:
Better Global Scheduling Using Path Profiles. MICRO 1998: 115-123 - 1997
- [c6]Cliff Young, David S. Johnson, David R. Karger, Michael D. Smith:
Near-optimal Intraprocedural Branch Alignment. PLDI 1997: 183-193 - 1996
- [c5]Nicholas C. Gloy, Cliff Young, J. Bradley Chen, Michael D. Smith:
An Analysis of Dynamic Branch Prediction Schemes on System Workloads. ISCA 1996: 12-21 - 1995
- [c4]Cliff Young, Nicholas C. Gloy, Michael D. Smith:
A Comparative Analysis of Schemes for Correlated Branch Prediction. ISCA 1995: 276-286 - [c3]Nicholas C. Gloy, Michael D. Smith, Cliff Young:
Performance issues in correlated branch prediction schemes. MICRO 1995: 3-14 - 1994
- [c2]Cliff Young, Michael D. Smith:
Improving the Accuracy of Static Branch Prediction Using Branch Correlation. ASPLOS 1994: 232-241 - [c1]Trevor Blackwell, Kee Chan, Koling Chang, Thomas Charuhas, James Gwertzman, Brad Karp, H. T. Kung, David Li, Dong Lin, Robert Tappan Morris, Rob Polansky, Diane Tang, Cliff Young, John Zao:
Secure Short-Cut Routing for Mobile IP. USENIX Summer 1994: 305-316
Coauthor Index
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