James Laudon

Publication Activity (10 Years)

Years Active: 1987-2023
Publications (10 Years): 27

Top Topics

Learning Models

Top Venues

Publications

Yi Hu, Chaoran Zhang, Edward Andert, Harshul Singh, Aviral Shrivastava, James Laudon, Yanqi Zhou, Bob Iannucci, Carlee Joe-Wong
GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing. CoRR (2023)
Yanqi Zhou, Nan Du, Yanping Huang, Daiyi Peng, Chang Lan, Da Huang, Siamak Shakeri, David R. So, Andrew M. Dai, Yifeng Lu, Zhifeng Chen, Quoc V. Le, Claire Cui, James Laudon, Jeff Dean
Brainformers: Trading Simplicity for Efficiency. ICML (2023)
Yanqi Zhou, Nan Du, Yanping Huang, Daiyi Peng, Chang Lan, Da Huang, Siamak Shakeri, David R. So, Andrew M. Dai, Yifeng Lu, Zhifeng Chen, Quoc V. Le, Claire Cui, James Laudon, Jeff Dean
Brainformers: Trading Simplicity for Efficiency. CoRR (2023)
Yi Hu, Chaoran Zhang, Edward Andert, Harshul Singh, Aviral Shrivastava, James Laudon, Yanqi Zhou, Bob Iannucci, Carlee Joe-Wong
GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing. MLSys (2023)
Wuyang Chen, Yanqi Zhou, Nan Du, Yanping Huang, James Laudon, Zhifeng Chen, Claire Cui
Lifelong Language Pretraining with Distribution-Specialized Experts. ICML (2023)
Wuyang Chen, Yanqi Zhou, Nan Du, Yanping Huang, James Laudon, Zhifeng Chen, Claire Cui
Lifelong Language Pretraining with Distribution-Specialized Experts. CoRR (2023)
Yanqi Zhou, Tao Lei, Hanxiao Liu, Nan Du, Yanping Huang, Vincent Zhao, Andrew M. Dai, Zhifeng Chen, Quoc V. Le, James Laudon
Mixture-of-Experts with Expert Choice Routing. NeurIPS (2022)
Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou
A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules. MLSys (2022)
Yanqi Zhou, Xuanyi Dong, Tianjian Meng, Mingxing Tan, Berkin Akin, Daiyi Peng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon
Towards the Co-design of Neural Networks and Accelerators. MLSys (2022)
Yanqi Zhou, Tao Lei, Hanxiao Liu, Nan Du, Yanping Huang, Vincent Y. Zhao, Andrew M. Dai, Zhifeng Chen, Quoc Le, James Laudon
Mixture-of-Experts with Expert Choice Routing. CoRR (2022)
Kiran Seshadri, Berkin Akin, James Laudon, Ravi Narayanaswami, Amir Yazdanbakhsh
An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks. IISWC (2022)
Yanqi Zhou, Xuanyi Dong, Berkin Akin, Mingxing Tan, Daiyi Peng, Tianjian Meng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon
Rethinking Co-design of Neural Architectures and Hardware Accelerators. CoRR (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)
Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou
A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules. CoRR (2021)
Azalia Mirhoseini, Anna Goldie, Mustafa Yazgan, Joe Wenjie Jiang, Ebrahim M. Songhori, Shen Wang, Young-Joon Lee, Eric Johnson, Omkar Pathak, Azade Nazi, Jiwoo Pak, Andy Tong, Kavya Srinivasa, William Hang, Emre Tuncer, Quoc V. Le, James Laudon, Richard Ho, Roger Carpenter, Jeff Dean
A graph placement methodology for fast chip design. Nat. 594 (7862) (2021)
Amir Yazdanbakhsh, Christof Angermüller, Berkin Akin, Yanqi Zhou, Albin Jones, Milad Hashemi, Kevin Swersky, Satrajit Chatterjee, Ravi Narayanaswami, James Laudon
Apollo: Transferable Architecture Exploration. CoRR (2021)
Amir Yazdanbakhsh, Kiran Seshadri, Berkin Akin, James Laudon, Ravi Narayanaswami
An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks. CoRR (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)
Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Wong, Peter C. Ma, Qiumin Xu, Hanxiao Liu, Mangpo Phitchaya Phothilimtha, Shen Wang, Anna Goldie, Azalia Mirhoseini, James Laudon
Transferable Graph Optimizers for ML Compilers. NeurIPS (2020)
Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Lin-Kit Wong, Peter C. Ma, Qiumin Xu, Azalia Mirhoseini, James Laudon
A Single-Shot Generalized Device Placement for Large Dataflow Graphs. IEEE Micro 40 (5) (2020)
Azalia Mirhoseini, Anna Goldie, Mustafa Yazgan, Joe Jiang, Ebrahim M. Songhori, Shen Wang, Young-Joon Lee, Eric Johnson, Omkar Pathak, Sungmin Bae, Azade Nazi, Jiwoo Pak, Andy Tong, Kavya Srinivasa, William Hang, Emre Tuncer, Anand Babu, Quoc V. Le, James Laudon, Richard C. Ho, Roger Carpenter, Jeff Dean
Chip Placement with Deep Reinforcement Learning. CoRR (2020)
Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Wong, Peter C. Ma, Qiumin Xu, Hanxiao Liu, Mangpo Phitchaya Phothilimtha, Shen Wang, Anna Goldie, Azalia Mirhoseini, James Laudon
Transferable Graph Optimizers for ML Compilers. CoRR (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)
Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Lin-Kit Wong, Peter C. Ma, Qiumin Xu, Ming Zhong, Hanxiao Liu, Anna Goldie, Azalia Mirhoseini, James Laudon
GDP: Generalized Device Placement for Dataflow Graphs. CoRR (2019)
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)
Kyle J. Nesbit, James Laudon, James E. Smith
Virtual private caches. ISCA (2007)
James Laudon, Lawrence Spracklen
The Coming Wave of Multithreaded Chip Multiprocessors. Int. J. Parallel Program. 35 (3) (2007)
Richard McDougall, James Laudon
Multi-Core Microprocessors Are Here. login Usenix Mag. 31 (5) (2006)
Kyle J. Nesbit, Nidhi Aggarwal, James Laudon, James E. Smith
Fair Queuing Memory Systems. MICRO (2006)
John D. Davis, Cong Fu, James Laudon
The RASE (Rapid, Accurate Simulation Environment) for chip multiprocessors. SIGARCH Comput. Archit. News 33 (4) (2005)
James Laudon
Performance/Watt: the new server focus. SIGARCH Comput. Archit. News 33 (4) (2005)
John D. Davis, James Laudon, Kunle Olukotun
Maximizing CMP Throughput with Mediocre Cores. IEEE PACT (2005)
Daniel Lenoski, James Laudon
Retrospective: The DASH Prototype: Implementation and Performance. 25 Years ISCA: Retrospectives and Reprints (1998)
Daniel Lenoski, James Laudon, Truman Joe, David Nakahira, Luis Stevens, Anoop Gupta, John L. Hennessy
The DASH Prototype: Implementation and Performance. 25 Years ISCA: Retrospectives and Reprints (1998)
Kourosh Gharachorloo, Daniel Lenoski, James Laudon, Phillip B. Gibbons, Anoop Gupta, John L. Hennessy
Memory Consistency and Event Ordering in Scalable Shared-Memory Multiprocessors. 25 Years ISCA: Retrospectives and Reprints (1998)
James Laudon, Daniel Lenoski
The SGI Origin: A ccNUMA Highly Scalable Server. ISCA (1997)
James Laudon, Daniel Lenoski
System overview of the SGI Origin 200/2000 product line. COMPCON (1997)
James Laudon, Anoop Gupta, Mark Horowitz
Interleaving: A Multithreading Technique Targeting Multiprocessors and Workstations. ASPLOS (1994)
Daniel Lenoski, James Laudon, Truman Joe, David Nakahira, Luis Stevens, Anoop Gupta, John L. Hennessy
The DASH Prototype: Logic Overhead and Performance. IEEE Trans. Parallel Distributed Syst. 4 (1) (1993)
Daniel Lenoski, James Laudon, Truman Joe, David Nakahira, Luis Stevens, Anoop Gupta, John L. Hennessy
The DASH Prototype: Implementation and Performance. ISCA (1992)
Daniel Lenoski, James Laudon, Kourosh Gharachorloo, Wolf-Dietrich Weber, Anoop Gupta, John L. Hennessy, Mark Horowitz, Monica S. Lam
The Stanford Dash Multiprocessor. Computer 25 (3) (1992)
James Laudon, Anoop Gupta, Mark Horowitz
Architectural and implementation tradeoffs in the design of multiple-context processors. ISCA (1992)
Daniel Lenoski, James Laudon, Kourosh Gharachorloo, Anoop Gupta, John L. Hennessy
The Directory-Based Cache Coherence Protocol for the DASH Multiprocessor. ISCA (1990)
Daniel Lenoski, Kourosh Gharachorloo, James Laudon, Anoop Gupta, John L. Hennessy, Mark Horowitz, Monica S. Lam
Design of scalable shared-memory multiprocessors: the DASH approach. Compcon (1990)
Kourosh Gharachorloo, Daniel Lenoski, James Laudon, Phillip B. Gibbons, Anoop Gupta, John L. Hennessy
Memory Consistency and Event Ordering in Scalable Shared-Memory Multiprocessors. ISCA (1990)
James E. Smith, Gregory E. Dermer, B. D. Vanderwarn, S. D. Klinger, C. M. Rozewski, D. L. Fowler, K. R. Scidmore, James Laudon
The Astronautics ZS-1 processor. ICCD (1988)
James E. Smith, Gregory E. Dermer, B. D. Vanderwarn, S. D. Klinger, C. M. Rozewski, D. L. Fowler, K. R. Scidmore, James Laudon
The ZS-1 Central Processor. ASPLOS (1987)