Cliff Young

58 papers A* 17A 7C 1Misc 1Journal 23Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
AI+HW 2035: Shaping the Next Decade.
CoRR
Deming Chen, Jason Cong, Azalia Mirhoseini, Christos Kozyrakis, Subhasish Mitra, Jinjun Xiong, Cliff Young, Anima Anandkumar, Michael L. Littman, Aron Kirschen, Sophia Shao, Serge Leef, Naresh R. Shanbhag, Dejan S. Milojicic, Michael Schulte, Gert Cauwenberghs, Jerry M. Chow, Tri Dao, Kailash Gopalakrishnan, Richard Ho, Hoshik Kim, Kunle Olukotun, David Z. Pan, Mark Ren, Dan Roth, Aarti Singh, Yizhou Sun, Yusu Wang, Yann LeCun, Ruchir Puri
2024 J jnl
Beyond the Quantitative Approach.
Computer
Cliff Young
2023 — conf
MegaBlocks: Efficient Sparse Training with Mixture-of-Experts.
MLSys
Trevor Gale, Deepak Narayanan, Cliff Young, Matei Zaharia
2023 A* conf
TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings.
ISCA
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
2023 J jnl
TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings.
CoRR
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
2022 J jnl
MegaBlocks: Efficient Sparse Training with Mixture-of-Experts.
CoRR
Trevor Gale, Deepak Narayanan, Cliff Young, Matei Zaharia
2021 J jnl
Atari's ANTIC: My Favorite Microprocessor.
IEEE Micro
Cliff Young
2021 J jnl
Best Papers From Hot Chips 32.
IEEE Micro
Priyanka Raina, Cliff Young
2021 — conf
Exploring the Limits of Concurrency in ML Training on Google TPUS.
MLSys
Sameer Kumar, Yu Emma Wang, Cliff Young, James Bradbury, Naveen Kumar, Dehao Chen, Andy Swing
2021 A* conf
Ten Lessons From Three Generations Shaped Google's TPUv4i : Industrial Product.
ISCA
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
2021 J jnl
The Design Process for Google's Training Chips: TPUv2 and TPUv3.
IEEE Micro
Thomas Norrie, Nishant Patil, Doe Hyun Yoon, George Kurian, Sheng Li, James Laudon, Cliff Young, Norman P. Jouppi, David A. Patterson
2020 J jnl
A domain-specific supercomputer for training deep neural networks.
Commun. ACM
Norman P. Jouppi, Doe Hyun Yoon, George Kurian, Sheng Li, Nishant Patil, James Laudon, Cliff Young, David A. Patterson
2020 A* conf
Bit-Parallel Vector Composability for Neural Acceleration.
DAC
Soroush Ghodrati, Hardik Sharma, Cliff Young, Nam Sung Kim, Hadi Esmaeilzadeh
2020 J jnl
Bit-Parallel Vector Composability for Neural Acceleration.
CoRR
Soroush Ghodrati, Hardik Sharma, Cliff Young, Nam Sung Kim, Hadi Esmaeilzadeh
2020 J jnl
Exploring the limits of Concurrency in ML Training on Google TPUs.
CoRR
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
2020 — conf
Google's Training Chips Revealed: TPUv2 and TPUv3.
Hot Chips Symposium
Thomas Norrie, Nishant Patil, Doe Hyun Yoon, George Kurian, Sheng Li, James Laudon, Cliff Young, Norman P. Jouppi, David A. Patterson
2020 — conf
MLPerf Training Benchmark.
MLSys
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
2020 A* conf
Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks.
MICRO
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
2020 J jnl
Sparse GPU Kernels for Deep Learning.
CoRR
Trevor Gale, Matei Zaharia, Cliff Young, Erich Elsen
2020 A conf
Sparse GPU kernels for deep learning.
SC
Trevor Gale, Matei Zaharia, Cliff Young, Erich Elsen
2019 J jnl
MLPerf Training Benchmark.
CoRR
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
2018 J jnl
A New Golden Age in Computer Architecture: Empowering the Machine-Learning Revolution.
IEEE Micro
Jeff Dean, David A. Patterson, Cliff Young
2018 J jnl
A domain-specific architecture for deep neural networks.
Commun. ACM
Norman P. Jouppi, Cliff Young, Nishant Patil, David A. Patterson
2018 A* conf
Mesh-TensorFlow: Deep Learning for Supercomputers.
NeurIPS
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
2018 J jnl
Mesh-TensorFlow: Deep Learning for Supercomputers.
CoRR
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
2018 J jnl
Motivation for and Evaluation of the First Tensor Processing Unit.
IEEE Micro
Norman P. Jouppi, Cliff Young, Nishant Patil, David A. Patterson
2017 A* conf
In-Datacenter Performance Analysis of a Tensor Processing Unit.
ISCA
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
2017 J jnl
In-Datacenter Performance Analysis of a Tensor Processing Unit.
CoRR
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
2016 J jnl
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.
CoRR
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
2014 A conf
Anton 2: Raising the Bar for Performance and Programmability in a Special-Purpose Molecular Dynamics Supercomputer.
SC
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
2013 A* conf
Hardware support for fine-grained event-driven computation in Anton 2.
ASPLOS
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
2011 — ch.
Anton, A Special-Purpose Molecular Simulation Machine.
Encyclopedia of Parallel Computing
Ron O. Dror, Cliff Young, David E. Shaw
2011 J jnl
Overcoming Communication Latency Barriers in Massively Parallel Scientific Computation.
IEEE Micro
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
2011 — ch.
VLIW Processors.
Encyclopedia of Parallel Computing
Joseph A. Fisher, Paolo Faraboschi, Cliff Young
2010 A conf
Exploiting 162-Nanosecond End-to-End Communication Latency on Anton.
SC
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
2009 A conf
A 32x32x32, spatially distributed 3D FFT in four microseconds on Anton.
SC
Cliff Young, Joseph A. Bank, Ron O. Dror, J. P. Grossman, John K. Salmon, David E. Shaw
2009 A conf
Millisecond-scale molecular dynamics simulations on Anton.
SC
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
2009 A conf
Millisecond-scale molecular dynamics simulations on Anton.
SC
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
2008 J jnl
Anton, a special-purpose machine for molecular dynamics simulation.
Commun. ACM
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
2008 C conf
Hierarchical simulation-based verification of Anton, a special-purpose parallel machine.
ICCD
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
2008 A* conf
High-throughput pairwise point interactions in Anton, a specialized machine for molecular dynamics simulation.
HPCA
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
2008 A* conf
Incorporating flexibility in Anton, a specialized machine for molecular dynamics simulation.
HPCA
Jeffrey Kuskin, Cliff Young, J. P. Grossman, Brannon Batson, Martin M. Deneroff, Ron O. Dror, David E. Shaw
2008 Misc conf
Simulation and embedded software development for Anton, a parallel machine with heterogeneous multicore ASICs.
CODES+ISSS
J. P. Grossman, Cliff Young, Joseph A. Bank, Kenneth M. Mackenzie, Doug Ierardi, John K. Salmon, Ron O. Dror, David E. Shaw
2007 A* conf
Anton, a special-purpose machine for molecular dynamics simulation.
ISCA
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
2006 — conf
Architectures and Algorithms for Biomolecular Simulation.
USENIX ATC, General Track
Cliff Young
2005 — book
Embedded computing - a VLIW approach to architecture, compilers, and tools.
Joseph A. Fisher, Paolo Faraboschi, Cliff Young
2001 J jnl
Instruction scheduling for instruction level parallel processors.
Proc. IEEE
Paolo Faraboschi, Joseph A. Fisher, Cliff Young
2001 A conf
Protium, an Infrastructure for Partitioned Applications.
HotOS
Cliff Young, Yagati N. Lakshman, Tom Szymanski, John H. Reppy, David L. Presotto, Rob Pike, Girija J. Narlikar, Sape J. Mullender, Eric Grosse
2000 A* conf
Coherence Communication Prediction in Shared-Memory Multiprocessors.
HPCA
Stefanos Kaxiras, Cliff Young
2000 J jnl
Comparing and Combining Profiles.
J. Instr. Level Parallelism
Serap A. Savari, Cliff Young
1999 J jnl
Static correlated branch prediction.
ACM Trans. Program. Lang. Syst.
Cliff Young, Michael D. Smith
1998 A* conf
Better Global Scheduling Using Path Profiles.
MICRO
Cliff Young, Michael D. Smith
1997 A* conf
Near-optimal Intraprocedural Branch Alignment.
PLDI
Cliff Young, David S. Johnson, David R. Karger, Michael D. Smith
1996 A* conf
An Analysis of Dynamic Branch Prediction Schemes on System Workloads.
ISCA
Nicholas C. Gloy, Cliff Young, J. Bradley Chen, Michael D. Smith
1995 A* conf
A Comparative Analysis of Schemes for Correlated Branch Prediction.
ISCA
Cliff Young, Nicholas C. Gloy, Michael D. Smith
1995 A* conf
Performance issues in correlated branch prediction schemes.
MICRO
Nicholas C. Gloy, Michael D. Smith, Cliff Young
1994 A* conf
Improving the Accuracy of Static Branch Prediction Using Branch Correlation.
ASPLOS
Cliff Young, Michael D. Smith
1994 — conf
Secure Short-Cut Routing for Mobile IP.
USENIX Summer
Trevor Blackwell, Kee Chan, Koling Chang, Thomas Charuhas, James Gwertzman, Brad Karp, H. T. Kung, David Li, Dong Lin, Robert Morris, Rob Polansky, Diane Tang, Cliff Young, John Zao