Sanjay Ghemawat

According to our database, Sanjay Ghemawat authored at least 22 papers between 1991 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

PaLM: Scaling Language Modeling with Pathways.

Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel

J. Mach. Learn. Res., 2023

Towards Modern Development of Cloud Applications.

Sanjay Ghemawat, Robert Grandl, Srdjan Petrovic, Michael Whittaker, Parveen Patel, Ivan Posva, Amin Vahdat

Proceedings of the 19th Workshop on Hot Topics in Operating Systems, 2023

2022

Pathways: Asynchronous Distributed Dataflow for ML.

Paul Barham, Aakanksha Chowdhery, Jeff Dean, Sanjay Ghemawat, Steven Hand, Dan Hurt, Michael Isard, Hyeontaek Lim, Ruoming Pang, Sudip Roy, Brennan Saeta, Parker Schuh, Ryan Sepassi, Laurent El Shafey, Chandramohan A. Thekkath, Yonghui Wu

Proceedings of Machine Learning and Systems 2022, 2022

2018

Dynamic control flow in large-scale machine learning.

Yuan Yu, Martín Abadi, Paul Barham, Eugene Brevdo, Mike Burrows, Andy Davis, Jeff Dean, Sanjay Ghemawat, Tim Harley, Peter Hawkins, Michael Isard, Manjunath Kudlur, Rajat Monga, Derek Gordon Murray, Xiaoqiang Zheng

Proceedings of the Thirteenth EuroSys Conference, 2018

2016

TensorFlow: A system for large-scale machine learning.

Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zhang

CoRR, 2016

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.

Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Gregory S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian J. Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Józefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Gordon Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul A. Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda B. Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng

CoRR, 2016

TensorFlow: A System for Large-Scale Machine Learning.

Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zheng

Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation, 2016

2013

Spanner: Google's Globally Distributed Database.

James C. Corbett, Jeffrey Dean, Michael Epstein, Andrew Fikes, Christopher Frost, J. J. Furman, Sanjay Ghemawat, Andrey Gubarev, Christopher Heiser, Peter Hochschild, Wilson C. Hsieh, Sebastian Kanthak, Eugene Kogan, Hongyi Li, Alexander Lloyd, Sergey Melnik, David Mwaura, David Nagle, Sean Quinlan, Rajesh Rao, Lindsay Rolig, Yasushi Saito, Michal Szymaniak, Christopher Taylor, Ruth Wang, Dale Woodford

ACM Trans. Comput. Syst., 2013

2010

MapReduce: a flexible data processing tool.

Jeffrey Dean, Sanjay Ghemawat

Commun. ACM, 2010

2009

Back-off language model compression.

Boulos Harb, Ciprian Chelba, Jeffrey Dean, Sanjay Ghemawat

Proceedings of the INTERSPEECH 2009, 2009

2008

Bigtable: A Distributed Storage System for Structured Data.

Fay Chang, Jeffrey Dean, Sanjay Ghemawat, Wilson C. Hsieh, Deborah A. Wallach, Michael Burrows, Tushar Chandra, Andrew Fikes, Robert E. Gruber

ACM Trans. Comput. Syst., 2008

MapReduce: simplified data processing on large clusters.

Jeffrey Dean, Sanjay Ghemawat

Commun. ACM, 2008

2006

Bigtable: A Distributed Storage System for Structured Data (Awarded Best Paper!).

Fay Chang, Jeffrey Dean, Sanjay Ghemawat, Wilson C. Hsieh, Deborah A. Wallach, Michael Burrows, Tushar Chandra, Andrew Fikes, Robert Gruber

Proceedings of the 7th Symposium on Operating Systems Design and Implementation (OSDI '06), 2006

2003

The Google file system.

Sanjay Ghemawat, Howard Gobioff, Shun-Tak Leung

Proceedings of the 19th ACM Symposium on Operating Systems Principles 2003, 2003

2000

Field analysis: getting useful and low-cost interprocedural information.

Sanjay Ghemawat, Keith H. Randall, Daniel J. Scales

Proceedings of the 2000 ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), 2000

1997

Continuous Profiling: Where Have All the Cycles Gone?

Jennifer-Ann M. Anderson, Lance M. Berc, Jeffrey Dean, Sanjay Ghemawat, Monika Rauch Henzinger, Shun-Tak Leung, Richard L. Sites, Mark T. Vandevoorde, Carl A. Waldspurger, William E. Weihl

ACM Trans. Comput. Syst., 1997

1996

Safe and Efficient Sharing of Persistent Objects in Thor.

Barbara Liskov, Atul Adya, Miguel Castro, Mark Day, Sanjay Ghemawat, Robert Gruber, Umesh Maheshwari, Andrew C. Myers, Liuba Shrira

Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data, 1996

1995

The Modified Object Buffer: A Storage Management Technique for Object-Oriented Databases

Sanjay Ghemawat

PhD thesis, 1995

Using a Modified Object Buffer to Improve the Write Performance of an Object-Oriented Database.

Sanjay Ghemawat, M. Frans Kaashoek, Barbara Liskov

Proceedings of the Fifteenth ACM Symposium on Operating System Principles, 1995

1992

Providing High Availability Using Lazy Replication.

Rivka Ladin, Barbara Liskov, Liuba Shrira, Sanjay Ghemawat

ACM Trans. Comput. Syst., 1992

Efficient Recovery in Harp.

Barbara Liskov, Sanjay Ghemawat, Robert Gruber, Paul Johnson, Liuba Shrira

Proceedings of the Second Workshop on the Management of Replicated Data, 1992

1991

Replication in the Harp File System.

Barbara Liskov, Sanjay Ghemawat, Robert Gruber, Paul Johnson, Liuba Shrira, Michael Williams

Proceedings of the Thirteenth ACM Symposium on Operating System Principles, 1991