James Laudon

53 papers A* 15C 1Journal 23Unranked 11
YearRankTypeTitle / Venue / Authors
2024 J jnl
Scalable Multi-Domain Adaptation of Language Models using Modular Experts.
CoRR
Peter Schafhalter, Shun Liao, Yanqi Zhou, Chih-Kuan Yeh, Arun Kandoor, James Laudon
2023 A* conf
Brainformers: Trading Simplicity for Efficiency.
ICML
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
2023 J jnl
Brainformers: Trading Simplicity for Efficiency.
CoRR
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
2023 — conf
GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing.
MLSys
Yi Hu, Chaoran Zhang, Edward Andert, Harshul Singh, Aviral Shrivastava, James Laudon, Yanqi Zhou, Bob Iannucci, Carlee Joe-Wong
2023 J jnl
GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing.
CoRR
Yi Hu, Chaoran Zhang, Edward Andert, Harshul Singh, Aviral Shrivastava, James Laudon, Yanqi Zhou, Bob Iannucci, Carlee Joe-Wong
2023 A* conf
Lifelong Language Pretraining with Distribution-Specialized Experts.
ICML
Wuyang Chen, Yanqi Zhou, Nan Du, Yanping Huang, James Laudon, Zhifeng Chen, Claire Cui
2023 J jnl
Lifelong Language Pretraining with Distribution-Specialized Experts.
CoRR
Wuyang Chen, Yanqi Zhou, Nan Du, Yanping Huang, James Laudon, Zhifeng Chen, Claire Cui
2022 — conf
A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules.
MLSys
Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou
2022 — conf
An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks.
IISWC
Kiran Seshadri, Berkin Akin, James Laudon, Ravi Narayanaswami, Amir Yazdanbakhsh
2022 A* conf
Mixture-of-Experts with Expert Choice Routing.
NeurIPS
Yanqi Zhou, Tao Lei, Hanxiao Liu, Nan Du, Yanping Huang, Vincent Y. Zhao, Andrew M. Dai, Zhifeng Chen, Quoc V. Le, James Laudon
2022 J jnl
Mixture-of-Experts with Expert Choice Routing.
CoRR
Yanqi Zhou, Tao Lei, Hanxiao Liu, Nan Du, Yanping Huang, Vincent Y. Zhao, Andrew M. Dai, Zhifeng Chen, Quoc Le, James Laudon
2022 — conf
Towards the Co-design of Neural Networks and Accelerators.
MLSys
Yanqi Zhou, Xuanyi Dong, Tianjian Meng, Mingxing Tan, Berkin Akin, Daiyi Peng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon
2021 J jnl
A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules.
CoRR
Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou
2021 J jnl
A graph placement methodology for fast chip design.
Nat.
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
2021 J jnl
An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks.
CoRR
Amir Yazdanbakhsh, Kiran Seshadri, Berkin Akin, James Laudon, Ravi Narayanaswami
2021 J jnl
Apollo: Transferable Architecture Exploration.
CoRR
Amir Yazdanbakhsh, Christof Angermüller, Berkin Akin, Yanqi Zhou, Albin Jones, Milad Hashemi, Kevin Swersky, Satrajit Chatterjee, Ravi Narayanaswami, James Laudon
2021 J jnl
Rethinking Co-design of Neural Architectures and Hardware Accelerators.
CoRR
Yanqi Zhou, Xuanyi Dong, Berkin Akin, Mingxing Tan, Daiyi Peng, Tianjian Meng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon
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 Single-Shot Generalized Device Placement for Large Dataflow Graphs.
IEEE Micro
Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Lin-Kit Wong, Peter C. Ma, Qiumin Xu, Azalia Mirhoseini, James Laudon
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 J jnl
Chip Placement with Deep Reinforcement Learning.
CoRR
Azalia Mirhoseini, Anna Goldie, Mustafa Yazgan, Joe W. J. 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 Ho, Roger Carpenter, Jeff Dean
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 A* conf
Transferable Graph Optimizers for ML Compilers.
NeurIPS
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
2020 J jnl
Transferable Graph Optimizers for ML Compilers.
CoRR
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
2019 J jnl
GDP: Generalized Device Placement for Dataflow Graphs.
CoRR
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
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
2009 — ch.
Throughput-Oriented Multicore Processors.
Multicore Processors and Systems
James Laudon, Robert T. Golla, Greg Grohoski
2007 J jnl
The Coming Wave of Multithreaded Chip Multiprocessors.
Int. J. Parallel Program.
James Laudon, Lawrence Spracklen
2007 A* conf
Virtual private caches.
ISCA
Kyle J. Nesbit, James Laudon, James E. Smith
2007 — book
iChip Multiprocessor Architecture: Techniques to Improve Throughput and Latency
Kunle Olukotun, Lance Hammond, James Laudon
2006 A* conf
Fair Queuing Memory Systems.
MICRO
Kyle J. Nesbit, Nidhi Aggarwal, James Laudon, James E. Smith
2006 J jnl
Multi-Core Microprocessors Are Here.
login Usenix Mag.
Richard McDougall, James Laudon
2005 — conf
Maximizing CMP Throughput with Mediocre Cores.
IEEE PACT
John D. Davis, James Laudon, Kunle Olukotun
2005 J jnl
Performance/Watt: the new server focus.
SIGARCH Comput. Archit. News
James Laudon
2005 J jnl
The RASE (Rapid, Accurate Simulation Environment) for chip multiprocessors.
SIGARCH Comput. Archit. News
John D. Davis, Cong Fu, James Laudon
1998 — conf
Memory Consistency and Event Ordering in Scalable Shared-Memory Multiprocessors.
25 Years ISCA: Retrospectives and Reprints
Kourosh Gharachorloo, Daniel Lenoski, James Laudon, Phillip B. Gibbons, Anoop Gupta, John L. Hennessy
1998 — conf
Retrospective: The DASH Prototype: Implementation and Performance.
25 Years ISCA: Retrospectives and Reprints
Daniel Lenoski, James Laudon
1998 — conf
The DASH Prototype: Implementation and Performance.
25 Years ISCA: Retrospectives and Reprints
Daniel Lenoski, James Laudon, Truman Joe, David Nakahira, Luis Stevens, Anoop Gupta, John L. Hennessy
1997 — conf
System overview of the SGI Origin 200/2000 product line.
COMPCON
James Laudon, Daniel Lenoski
1997 A* conf
The SGI Origin: A ccNUMA Highly Scalable Server.
ISCA
James Laudon, Daniel Lenoski
1994 — ch.
Architectural and Implementation Tradeoffs in the Design of Multiple-Context Processors.
Multithreaded Computer Architecture
James Laudon, Anoop Gupta, Mark Horowitz
1994 A* conf
Interleaving: A Multithreading Technique Targeting Multiprocessors and Workstations.
ASPLOS
James Laudon, Anoop Gupta, Mark Horowitz
1993 J jnl
The DASH Prototype: Logic Overhead and Performance.
IEEE Trans. Parallel Distributed Syst.
Daniel Lenoski, James Laudon, Truman Joe, David Nakahira, Luis Stevens, Anoop Gupta, John L. Hennessy
1992 A* conf
Architectural and implementation tradeoffs in the design of multiple-context processors.
ISCA
James Laudon, Anoop Gupta, Mark Horowitz
1992 A* conf
The DASH Prototype: Implementation and Performance.
ISCA
Daniel Lenoski, James Laudon, Truman Joe, David Nakahira, Luis Stevens, Anoop Gupta, John L. Hennessy
1992 J jnl
The Stanford Dash Multiprocessor.
Computer
Daniel Lenoski, James Laudon, Kourosh Gharachorloo, Wolf-Dietrich Weber, Anoop Gupta, John L. Hennessy, Mark Horowitz, Monica S. Lam
1990 — conf
Design of scalable shared-memory multiprocessors: the DASH approach.
Compcon
Daniel Lenoski, Kourosh Gharachorloo, James Laudon, Anoop Gupta, John L. Hennessy, Mark Horowitz, Monica Lam
1990 A* conf
Memory Consistency and Event Ordering in Scalable Shared-Memory Multiprocessors.
ISCA
Kourosh Gharachorloo, Daniel Lenoski, James Laudon, Phillip B. Gibbons, Anoop Gupta, John L. Hennessy
1990 A* conf
The Directory-Based Cache Coherence Protocol for the DASH Multiprocessor.
ISCA
Daniel Lenoski, James Laudon, Kourosh Gharachorloo, Anoop Gupta, John L. Hennessy
1988 C conf
The Astronautics ZS-1 processor.
ICCD
James E. Smith, Gregory E. Dermer, B. D. Vanderwarn, S. D. Klinger, C. M. Rozewski, D. L. Fowler, K. R. Scidmore, James Laudon
1987 A* conf
The ZS-1 Central Processor.
ASPLOS
James E. Smith, Gregory E. Dermer, B. D. Vanderwarn, S. D. Klinger, C. M. Rozewski, D. L. Fowler, K. R. Scidmore, James Laudon