Cliff Young - researchr alias

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Viewing Publication 1 - 42 from 42

2021

Ten Lessons From Three Generations Shaped Google's TPUv4i : Industrial ProductNorman P. Jouppi, Doe Hyun Yoon, Matthew Ashcraft, Mark Gottscho, Thomas B. Jablin, George Kurian, James Laudon, Sheng Li 0007, Peter C. Ma, Xiaoyu Ma, Thomas Norrie, Nishant Patil, Sushma Prasad, Cliff Young, Zongwei Zhou, David A. Patterson. isca 2021: 1-14 [doi]

Exploring the Limits of Concurrency in ML Training on Google TPUSSameer Kumar, Yu Emma Wang, Cliff Young, James Bradbury, Naveen Kumar, Dehao Chen, Andy Swing. mlsys 2021: [doi]

The Design Process for Google's Training Chips: TPUv2 and TPUv3Thomas Norrie, Nishant Patil, Doe Hyun Yoon, George Kurian, Sheng Li 0007, James Laudon, Cliff Young, Norman P. Jouppi, David A. Patterson. micro, 41(2):56-63, 2021. [doi]

Best Papers From Hot Chips 32Priyanka Raina, Cliff Young. micro, 41(2):6, 2021. [doi]

Atari's ANTIC: My Favorite MicroprocessorCliff Young. micro, 41(6):161, 2021. [doi]

2020

Sparse GPU kernels for deep learningTrevor Gale, Matei Zaharia, Cliff Young, Erich Elsen. sc 2020: 17 [doi]

Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural NetworksSoroush 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. micro 2020: 681-697 [doi]

Bit-Parallel Vector Composability for Neural AccelerationSoroush Ghodrati, Hardik Sharma, Cliff Young, Nam Sung Kim, Hadi Esmaeilzadeh. dac 2020: 1-6 [doi]

A domain-specific supercomputer for training deep neural networksNorman P. Jouppi, Doe Hyun Yoon, George Kurian, Sheng Li 0007, Nishant Patil, James Laudon, Cliff Young, David A. Patterson. CACM, 63(7):67-78, 2020. [doi]

Google's Training Chips Revealed: TPUv2 and TPUv3Thomas Norrie, Nishant Patil, Doe Hyun Yoon, George Kurian, Sheng Li, James Laudon, Cliff Young, Norman P. Jouppi, David A. Patterson. hotchips 2020: 1-70 [doi]

2018

2017

In-Datacenter Performance Analysis of a Tensor Processing UnitNorman P. Jouppi, Cliff Young, Nishant Patil, David 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. isca 2017: 1-12 [doi]

2014

Anton 2: Raising the Bar for Performance and Programmability in a Special-Purpose Molecular Dynamics SupercomputerDavid 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. sc 2014: 41-53 [doi]

2013

Hardware support for fine-grained event-driven computation in Anton 2J. 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. asplos 2013: 549-560 [doi]

2011

Overcoming Communication Latency Barriers in Massively Parallel Scientific ComputationRon O. Dror, J. P. Grossman, Kenneth M. Mackenzie, Brian Towles, Edmond Chow, John K. Salmon, Cliff Young, Joseph A. Bank, Brannon Batson, Jeffrey Kuskin, Richard H. Larson, Mark A. Moraes, David E. Shaw. micro, 31(3):8-19, 2011. [doi]

2010

Exploiting 162-Nanosecond End-to-End Communication Latency on AntonRon 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. sc 2010: 1-12 [doi]

2009

A 32x32x32, spatially distributed 3D FFT in four microseconds on AntonCliff Young, Joseph A. Bank, Ron O. Dror, John P. Grossman, John K. Salmon, David E. Shaw. sc 2009: [doi]

2008

Simulation and embedded software development for Anton, a parallel machine with heterogeneous multicore ASICsJohn P. Grossman, Cliff Young, Joseph A. Bank, Kenneth Mackenzie, Doug Ierardi, John K. Salmon, Ron O. Dror, David E. Shaw. codes 2008: 125-130 [doi]

Hierarchical simulation-based verification of Anton, a special-purpose parallel machineJohn 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. iccd 2008: 340-347 [doi]

Incorporating flexibility in Anton, a specialized machine for molecular dynamics simulationJeffrey Kuskin, Cliff Young, John P. Grossman, Brannon Batson, Martin M. Deneroff, Ron O. Dror, David E. Shaw. hpca 2008: 343-354 [doi]

High-throughput pairwise point interactions in Anton, a specialized machine for molecular dynamics simulationRichard H. Larson, John K. Salmon, Ron O. Dror, Martin M. Deneroff, Cliff Young, John P. Grossman, Yibing Shan, John L. Klepeis, David E. Shaw. hpca 2008: 331-342 [doi]

2007

2006

Architectures and Algorithms for Biomolecular SimulationCliff Young. usenix 2006: [doi]

2005

Embedded computing - a VLIW approach to architecture, compilers, and toolsJoseph A. Fisher, Paolo Faraboschi, Cliff Young. Morgan Kaufmann, 2005.

2001

Instruction scheduling for instruction level parallel processorsPaolo Faraboschi, Joseph A. Fisher, Cliff Young. pieee, 89(11):1638-1659, 2001. [doi]

Protium, an Infrastructure for Partitioned ApplicationsCliff Young, Yagati N. Lakshman, Tom Szymanski, John H. Reppy, David L. Presotto, Rob Pike, Girija J. Narlikar, Sape J. Mullender, Eric Grosse. hotos 2001: 47-52 [doi]

2000

Coherence Communication Prediction in Shared-Memory MultiprocessorsStefanos Kaxiras, Cliff Young. hpca 2000: 156-167 [doi]

Comparing and Combining ProfilesSerap A. Savari, Cliff Young. jilp, 2, 2000. [doi]

1999

Static correlated branch predictionCliff Young, Michael D. Smith. TOPLAS, 21(5):1028-1075, 1999. [doi]

1998

Better Global Scheduling Using Path ProfilesCliff Young, Michael D. Smith. euromicro 1998: 115-123 [doi]

1997

Near-optimal Intraprocedural Branch AlignmentCliff Young, David S. Johnson, David R. Karger, Michael D. Smith. PLDI 1997: 183-193

1995

Performance issues in correlated branch prediction schemesNicholas C. Gloy, Michael D. Smith, Cliff Young. euromicro 1995: 3-14 [doi]

A Comparative Analysis of Schemes for Correlated Branch PredictionCliff Young, Nicholas C. Gloy, Michael D. Smith. isca 1995: 276-286 [doi]

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