C
Cliff Young
Researcher at Google
Publications - 50
Citations - 16124
Cliff Young is an academic researcher from Google. The author has contributed to research in topics: Massively parallel & Deep learning. The author has an hindex of 26, co-authored 48 publications receiving 12742 citations. Previous affiliations of Cliff Young include Bell Labs & D. E. Shaw Research.
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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,Łukasz Kaiser,Stephan Gouws,Yoshikiyo Kato,Taku Kudo,Hideto Kazawa,Keith Stevens,George Kurian,Nishant Patil,Wei Wang,Cliff Young,Jason A. Smith,Jason Riesa,Alex Rudnick,Oriol Vinyals,Greg S. Corrado,Macduff Hughes,Jeffrey Dean +30 more
TL;DR: GNMT, Google's Neural Machine Translation system, is presented, which attempts to address many of the weaknesses of conventional phrase-based translation systems and provides a good balance between the flexibility of "character"-delimited models and the efficiency of "word"-delicited models.
Posted Content
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,Albert T. Borchers,Rick Boyle,Pierre-luc Cantin,Clifford Chao,Christopher Aaron Clark,Jeremy Coriell,Michael J. Daley,Matt Dau,Jeffrey Dean,Ben Gelb,Tara Vazir Ghaemmaghami,Rajendra Gottipati,William John Gulland,Robert Hagmann,C. Richard Ho,Doug Hogberg,John Hu,Robert Hundt,D. Hurt,Julian Ibarz,Aaron Jaffey,Alek Jaworski,Alexander Kaplan,Khaitan Harshit,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,Andrew Everett Phelps,Jonathan Ross,Matt Ross,Amir Salek,Emad Samadiani,Chris Severn,Gregory Sizikov,Matthew Snelham,Jed Souter,Dan Steinberg,Andy Swing,Mercedes Tan,Gregory Michael Thorson,Bo Tian,Horia Toma,Erick Tuttle,Vijay K. Vasudevan,Richard Walter,Walter Wang,Eric Wilcox,Doe Hyun Yoon +74 more
TL;DR: This paper evaluates a custom ASIC-called a Tensor Processing Unit (TPU)-deployed in datacenters since 2015 that accelerates the inference phase of neural networks (NN) and compares it to a server-class Intel Haswell CPU and an Nvidia K80 GPU, which are contemporaries deployed in the samedatacenters.
Proceedings ArticleDOI
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,Albert T. Borchers,Rick Boyle,Pierre-luc Cantin,Clifford Chao,Christopher Aaron Clark,Jeremy Coriell,Michael J. Daley,Matt Dau,Jeffrey Dean,Ben Gelb,Tara Vazir Ghaemmaghami,Rajendra Gottipati,William John Gulland,Robert Hagmann,C. Richard Ho,Doug Hogberg,John Hu,Robert Hundt,D. Hurt,Julian Ibarz,Aaron Jaffey,Alek Jaworski,Alexander Kaplan,Khaitan Harshit,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,Andrew Everett Phelps,Jonathan Ross,Matt Ross,Amir Salek,Emad Samadiani,Chris Severn,Gregory Sizikov,Matthew Snelham,Jed Souter,Dan Steinberg,Andy Swing,Mercedes Tan,Gregory Michael Thorson,Bo Tian,Horia Toma,Erick Tuttle,Vijay K. Vasudevan,Richard Walter,Walter Wang,Eric Wilcox,Doe Hyun Yoon +75 more
TL;DR: The Tensor Processing Unit (TPU) as discussed by the authors is a custom ASIC deployed in datacenters since 2015 that accelerates the inference phase of neural networks (NN) using a 65,536 8-bit MAC matrix multiply unit that offers a peak throughput of 92 TeraOps/second (TOPS).
Journal ArticleDOI
Anton, a special-purpose machine for molecular dynamics simulation
David E. Shaw,Martin M. Deneroff,Ron O. Dror,Jeffrey S. 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,Douglas J. 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 +26 more
TL;DR: A massively parallel machine called Anton is described, which should be capable of executing millisecond-scale classical MD simulations of such biomolecular systems and has been designed to use both novel parallel algorithms and special-purpose logic to dramatically accelerate those calculations that dominate the time required for a typical MD simulation.
Proceedings ArticleDOI
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 S. Kuskin,Richard H. Larson,Timothy Layman,Li-Siang Lee,Adam 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 +44 more
TL;DR: The architecture of Anton 2 is tailored for fine-grained event-driven operation, which improves performance by increasing the overlap of computation with communication, and also allows a wider range of algorithms to run efficiently, enabling many new software-based optimizations.