Cliff Young

According to our database, Cliff Young authored at least 49 papers between 1994 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

MegaBlocks: Efficient Sparse Training with Mixture-of-Experts.

Trevor Gale, Deepak Narayanan, Cliff Young, Matei Zaharia

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings.

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

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

2021

Atari's ANTIC: My Favorite Microprocessor.

Cliff Young

IEEE Micro, 2021

Best Papers From Hot Chips 32.

Priyanka Raina, Cliff Young

IEEE Micro, 2021

The Design Process for Google's Training Chips: TPUv2 and TPUv3.

Thomas Norrie, Nishant Patil, Doe Hyun Yoon, George Kurian, Sheng Li, James Laudon, Cliff Young, Norman P. Jouppi, David A. Patterson

IEEE Micro, 2021

Exploring the Limits of Concurrency in ML Training on Google TPUS.

Sameer Kumar, Yu Emma Wang, Cliff Young, James Bradbury, Naveen Kumar, Dehao Chen, Andy Swing

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

Ten Lessons From Three Generations Shaped Google's TPUv4i : Industrial Product.

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

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

2020

Exploring the limits of Concurrency in ML Training on Google TPUs.

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

CoRR, 2020

A domain-specific supercomputer for training deep neural networks.

Norman P. Jouppi, Doe Hyun Yoon, George Kurian, Sheng Li, Nishant Patil, James Laudon, Cliff Young, David A. Patterson

Commun. ACM, 2020

Sparse GPU kernels for deep learning.

Trevor Gale, Matei Zaharia, Cliff Young, Erich Elsen

Proceedings of the International Conference for High Performance Computing, 2020

MLPerf Training Benchmark.

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

Proceedings of the Third Conference on Machine Learning and Systems, 2020

Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks.

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

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

Google's Training Chips Revealed: TPUv2 and TPUv3.

Thomas Norrie, Nishant Patil, Doe Hyun Yoon, George Kurian, Sheng Li, James Laudon, Cliff Young, Norman P. Jouppi, David A. Patterson

Proceedings of the IEEE Hot Chips 32 Symposium, 2020

Bit-Parallel Vector Composability for Neural Acceleration.

Soroush Ghodrati, Hardik Sharma, Cliff Young, Nam Sung Kim, Hadi Esmaeilzadeh

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

MLPerf Training Benchmark.

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

CoRR, 2019

2018

Motivation for and Evaluation of the First Tensor Processing Unit.

Norman P. Jouppi, Cliff Young, Nishant Patil, David A. Patterson

IEEE Micro, 2018

A New Golden Age in Computer Architecture: Empowering the Machine-Learning Revolution.

Jeff Dean, David A. Patterson, Cliff Young

IEEE Micro, 2018

A domain-specific architecture for deep neural networks.

Norman P. Jouppi, Cliff Young, Nishant Patil, David A. Patterson

Commun. ACM, 2018

Mesh-TensorFlow: Deep Learning for Supercomputers.

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

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

In-Datacenter Performance Analysis of a Tensor Processing Unit.

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

CoRR, 2017

In-Datacenter Performance Analysis of a Tensor Processing Unit.

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

Proceedings of the 44th Annual International Symposium on Computer Architecture, 2017

2016

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.

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

CoRR, 2016

2014

Anton 2: Raising the Bar for Performance and Programmability in a Special-Purpose Molecular Dynamics Supercomputer.

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

Proceedings of the International Conference for High Performance Computing, 2014

2013

Hardware support for fine-grained event-driven computation in Anton 2.

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

Proceedings of the Architectural Support for Programming Languages and Operating Systems, 2013

2011

VLIW Processors.

Joseph A. Fisher, Paolo Faraboschi, Cliff Young

Proceedings of the Encyclopedia of Parallel Computing, 2011

Anton, A Special-Purpose Molecular Simulation Machine.

Ron O. Dror, Cliff Young, David E. Shaw

Proceedings of the Encyclopedia of Parallel Computing, 2011

Overcoming Communication Latency Barriers in Massively Parallel Scientific Computation.

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

IEEE Micro, 2011

2010

Exploiting 162-Nanosecond End-to-End Communication Latency on Anton.

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

Proceedings of the Conference on High Performance Computing Networking, 2010

2009

A 32x32x32, spatially distributed 3D FFT in four microseconds on Anton.

Cliff Young, Joseph A. Bank, Ron O. Dror, J. P. Grossman, John K. Salmon, David E. Shaw

Proceedings of the ACM/IEEE Conference on High Performance Computing, 2009

Millisecond-scale molecular dynamics simulations on Anton.

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

Proceedings of the ACM/IEEE Conference on High Performance Computing, 2009

2008

Anton, a special-purpose machine for molecular dynamics simulation.

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

Commun. ACM, 2008

Hierarchical simulation-based verification of Anton, a special-purpose parallel machine.

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

Proceedings of the 26th International Conference on Computer Design, 2008

High-throughput pairwise point interactions in Anton, a specialized machine for molecular dynamics simulation.

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

Proceedings of the 14th International Conference on High-Performance Computer Architecture (HPCA-14 2008), 2008

Incorporating flexibility in Anton, a specialized machine for molecular dynamics simulation.

Jeffrey Kuskin, Cliff Young, J. P. Grossman, Brannon Batson, Martin M. Deneroff, Ron O. Dror, David E. Shaw

Proceedings of the 14th International Conference on High-Performance Computer Architecture (HPCA-14 2008), 2008

Simulation and embedded software development for Anton, a parallel machine with heterogeneous multicore ASICs.

J. P. Grossman, Cliff Young, Joseph A. Bank, Kenneth M. Mackenzie, Doug Ierardi, John K. Salmon, Ron O. Dror, David E. Shaw

Proceedings of the 6th International Conference on Hardware/Software Codesign and System Synthesis, 2008

2006

Architectures and Algorithms for Biomolecular Simulation.

Cliff Young

Proceedings of the 2006 USENIX Annual Technical Conference, 2006

2005

Embedded computing - a VLIW approach to architecture, compilers, and tools.

Joseph A. Fisher, Paolo Faraboschi, Cliff Young

Morgan Kaufmann, ISBN: 978-1-55860-766-8, 2005

2001

Instruction scheduling for instruction level parallel processors.

Paolo Faraboschi, Joseph A. Fisher, Cliff Young

Proc. IEEE, 2001

Protium, an Infrastructure for Partitioned Applications.

Cliff Young, Yagati N. Lakshman, Tom Szymanski, John H. Reppy, David L. Presotto, Rob Pike, Girija J. Narlikar, Sape J. Mullender, Eric Grosse

Proceedings of HotOS-VIII: 8th Workshop on Hot Topics in Operating Systems, 2001

2000

Comparing and Combining Profiles.

Serap A. Savari, Cliff Young

J. Instr. Level Parallelism, 2000

Coherence Communication Prediction in Shared-Memory Multiprocessors.

Stefanos Kaxiras, Cliff Young

Proceedings of the Sixth International Symposium on High-Performance Computer Architecture, 2000

1999

Static correlated branch prediction.

Cliff Young, Michael D. Smith

ACM Trans. Program. Lang. Syst., 1999

1998

Better Global Scheduling Using Path Profiles.

Cliff Young, Michael D. Smith

Proceedings of the 31st Annual IEEE/ACM International Symposium on Microarchitecture, 1998

1997

Near-optimal Intraprocedural Branch Alignment.

Cliff Young, David S. Johnson, David R. Karger, Michael D. Smith

Proceedings of the ACM SIGPLAN '97 Conference on Programming Language Design and Implementation (PLDI), 1997

1996

An Analysis of Dynamic Branch Prediction Schemes on System Workloads.

Nicholas C. Gloy, Cliff Young, J. Bradley Chen, Michael D. Smith

Proceedings of the 23rd Annual International Symposium on Computer Architecture, 1996

1995

Performance issues in correlated branch prediction schemes.

Nicholas C. Gloy, Michael D. Smith, Cliff Young

Proceedings of the 28th Annual International Symposium on Microarchitecture, Ann Arbor, Michigan, USA, November 29, 1995

A Comparative Analysis of Schemes for Correlated Branch Prediction.

Cliff Young, Nicholas C. Gloy, Michael D. Smith

Proceedings of the 22nd Annual International Symposium on Computer Architecture, 1995

1994

Secure Short-Cut Routing for Mobile IP.

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

Proceedings of the USENIX Summer 1994 Technical Conference, 1994

Improving the Accuracy of Static Branch Prediction Using Branch Correlation.

Cliff Young, Michael D. Smith

Proceedings of the ASPLOS-VI Proceedings, 1994