Cliff Young

Publication Activity (10 Years)

Years Active: 1994-2023
Publications (10 Years): 26

Top Topics

Machine Translation System

Molecular Dynamics

Top Venues

Publications

Trevor Gale, Deepak Narayanan, Cliff Young, Matei Zaharia
MegaBlocks: Efficient Sparse Training with Mixture-of-Experts. MLSys (2023)
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 (2023)
Trevor Gale, Deepak Narayanan, Cliff Young, Matei Zaharia
MegaBlocks: Efficient Sparse Training with Mixture-of-Experts. CoRR (2022)
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)
Cliff Young
Atari's ANTIC: My Favorite Microprocessor. IEEE Micro 41 (6) (2021)
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) (2021)
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)
Priyanka Raina, Cliff Young
Best Papers From Hot Chips 32. IEEE Micro 41 (2) (2021)
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)
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 (2020)
Soroush Ghodrati, Hardik Sharma, Cliff Young, Nam Sung Kim, Hadi Esmaeilzadeh
Bit-Parallel Vector Composability for Neural Acceleration. CoRR (2020)
Trevor Gale, Matei Zaharia, Cliff Young, Erich Elsen
Sparse GPU Kernels for Deep Learning. CoRR (2020)
Soroush Ghodrati, Hardik Sharma, Cliff Young, Nam Sung Kim, Hadi Esmaeilzadeh
Bit-Parallel Vector Composability for Neural Acceleration. DAC (2020)
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)
Trevor Gale, Matei Zaharia, Cliff Young, Erich Elsen
Sparse GPU kernels for deep learning. SC (2020)
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)
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) (2020)
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 (2019)
Jeff Dean, David A. Patterson, Cliff Young
A New Golden Age in Computer Architecture: Empowering the Machine-Learning Revolution. IEEE Micro 38 (2) (2018)
Norman P. Jouppi, Cliff Young, Nishant Patil, David A. Patterson
Motivation for and Evaluation of the First Tensor Processing Unit. IEEE Micro 38 (3) (2018)
Norman P. Jouppi, Cliff Young, Nishant Patil, David A. Patterson
A domain-specific architecture for deep neural networks. Commun. ACM 61 (9) (2018)
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 (2018)
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)
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, Richard C. 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 (2017)
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)
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 (2016)
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, Richard C. 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)
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)
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) (2011)
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)
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)
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)
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)
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)
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, Richard C. 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) (2008)
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)
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)
J. P. Grossman, John K. Salmon, Richard C. 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)
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, Richard C. 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)
Cliff Young
Architectures and Algorithms for Biomolecular Simulation. USENIX Annual Technical Conference, General Track (2006)
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)
Paolo Faraboschi, Joseph A. Fisher, Cliff Young
Instruction scheduling for instruction level parallel processors. Proc. IEEE 89 (11) (2001)
Serap A. Savari, Cliff Young
Comparing and Combining Profiles. J. Instr. Level Parallelism 2 (2000)
Stefanos Kaxiras, Cliff Young
Coherence Communication Prediction in Shared-Memory Multiprocessors. HPCA (2000)
Cliff Young, Michael D. Smith
Static correlated branch prediction. ACM Trans. Program. Lang. Syst. 21 (5) (1999)
Cliff Young, Michael D. Smith
Better Global Scheduling Using Path Profiles. MICRO (1998)
Cliff Young, David S. Johnson, David R. Karger, Michael D. Smith
Near-optimal Intraprocedural Branch Alignment. PLDI (1997)
Nicholas C. Gloy, Cliff Young, J. Bradley Chen, Michael D. Smith
An Analysis of Dynamic Branch Prediction Schemes on System Workloads. ISCA (1996)
Nicholas C. Gloy, Michael D. Smith, Cliff Young
Performance issues in correlated branch prediction schemes. MICRO (1995)
Cliff Young, Nicholas C. Gloy, Michael D. Smith
A Comparative Analysis of Schemes for Correlated Branch Prediction. ISCA (1995)
Cliff Young, Michael D. Smith
Improving the Accuracy of Static Branch Prediction Using Branch Correlation. ASPLOS (1994)
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)