Zobrazeno 1 - 10
of 41
pro vyhledávání: '"James Laudon"'
Autor:
Jeffrey Dean, Richard Ho, William Hang, Roger Carpenter, Omkar Pathak, James Laudon, Kavya Srinivasa, Andy Tong, Ebrahim M. Songhori, Quoc V. Le, Joe Wenjie Jiang, Azade Nazi, Anna Goldie, Shen Wang, Azalia Mirhoseini, Young-Joon Lee, Eric Johnson, Jiwoo Pak, Emre Tuncer, Mustafa Yazgan
Publikováno v:
Nature. 594:207-212
Chip floorplanning is the engineering task of designing the physical layout of a computer chip. Despite five decades of research1, chip floorplanning has defied automation, requiring months of intense effort by physical design engineers to produce ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07f9ab9db4fbd3fe0eba364edde2c0dd
https://doi.org/10.1038/s41586-021-03544-w
https://doi.org/10.1038/s41586-021-03544-w
Autor:
Norman P. Jouppi, Thomas Norrie, George Kurian, Sheng Li, David A. Patterson, Doe Hyun Yoon, Nishant Patil, James Laudon, Cliff Young
Publikováno v:
IEEE Micro. 41:56-63
Five years ago, few would have predicted that a software company like Google would build its own computers. Nevertheless, Google has been deploying computers for machine learning (ML) training since 2017, powering key Google services. These Tensor Pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfcc97830dc64439a69173f5222217f1
https://doi.org/10.1109/mm.2021.3058217
https://doi.org/10.1109/mm.2021.3058217
Autor:
Azalia Mirhoseini, Peter Ma, Daniel Lin-Kit Wong, Yanqi Zhou, James Laudon, Qiumin Xu, AmirAli Abdolrashidi, Sudip Roy
Publikováno v:
IEEE Micro. 40:26-36
With increasingly complex neural network architectures and heterogeneous device characteristics, finding a reasonable graph partitioning and device placement strategy is challenging. There have been prior attempts at learned approaches for solving de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fa6c03c581b038b0816027214c09cbc
https://doi.org/10.1109/mm.2020.3015188
https://doi.org/10.1109/mm.2020.3015188
Autor:
David A. Patterson, Nishant Patil, Doe Hyun Yoon, Norman P. Jouppi, James Laudon, Cliff Young, Sheng Li, George Kurian
Publikováno v:
Communications of the ACM. 63:67-78
Google's TPU supercomputers train deep neural networks 50x faster than general-purpose supercomputers running a high-performance computing benchmark.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::320080c71fcf28a09491e0e128764644
https://doi.org/10.1145/3360307
https://doi.org/10.1145/3360307
Autor:
Sheng Li, George Kurian, Zongwei Zhou, Xiaoyu Ma, Thomas B. Jablin, David A. Patterson, Mark Gottscho, Norman P. Jouppi, Doe Hyun Yoon, Peter Ma, Cliff Young, Thomas Norrie, Sushma Prasad, Matthew Ashcraft, Nishant Patil, James Laudon
Publikováno v:
ISCA
Google deployed several TPU generations since 2015, teaching us lessons that changed our views: semi-conductor technology advances unequally; compiler compatibility trumps binary compatibility, especially for VLIW domain-specific architectures (DSA);
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f41708720a5387adfd873e2c858272f
https://doi.org/10.1109/isca52012.2021.00010
https://doi.org/10.1109/isca52012.2021.00010
Autor:
Azalia Mirhoseini, Anna Goldie, Mustafa Yazgan, Joe Wenjie Jiang, Ebrahim 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
Publikováno v:
Nature. 604:E24-E24
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24c99c871f77c9a7da469877c575b3c9
https://doi.org/10.1038/s41586-022-04657-6
https://doi.org/10.1038/s41586-022-04657-6
Autor:
Azalia, Mirhoseini, Anna, Goldie, Mustafa, Yazgan, Joe Wenjie, Jiang, Ebrahim, 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
Publikováno v:
Nature. 594(7862)
Chip floorplanning is the engineering task of designing the physical layout of a computer chip. Despite five decades of research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::776fe47d91b972fe7d9ebd0a394c58fd
https://pubmed.ncbi.nlm.nih.gov/35361999
https://pubmed.ncbi.nlm.nih.gov/35361999
Autor:
James Laudon, Norman P. Jouppi, George Kurian, Nishant Patil, Cliff Young, Sheng Li, Thomas Norrie, Doe Hyun Yoon, David A. Patterson
Publikováno v:
Hot Chips Symposium
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60dc1cfdea68baaa1d99b7a3980cc8c8
https://doi.org/10.1109/hcs49909.2020.9220735
https://doi.org/10.1109/hcs49909.2020.9220735
Chip multiprocessors - also called multi-core microprocessors or CMPs for short - are now the only way to build high-performance microprocessors, for a variety of reasons. Large uniprocessors are no longer scaling in performance, because it is only p
Autor:
Alek Jaworski, Suresh Bhatia, Kieran Miller, Rahul Nagarajan, Amir Salek, Gordon MacKean, Jeffrey Dean, Dan Steinberg, Sarah Bates, Matt Ross, Rick Boyle, Walter Wang, Mark Omernick, Albert T. Borchers, Narayana Penukonda, Ray Ni, Bo Tian, Diemthu Le, David A. Patterson, Aaron Jaffey, Ben Gelb, Andy Swing, Khaitan Harshit, Andrew Everett Phelps, Christopher Aaron Clark, Robert Hundt, Gregory Michael Thorson, Gregory Sizikov, Zhuyuan Liu, Michael J. Daley, Kathy Nix, Andy Koch, Horia Toma, Alexander Kaplan, C. Richard Ho, Steve Lacy, Maire Mahony, Nan Boden, Chris Severn, Rajendra Gottipati, Emad Samadiani, Adriana Maggiore, Norman P. Jouppi, Richard Walter, Mercedes Tan, Doe Hyun Yoon, Vijay K. Vasudevan, Jonathan Ross, Erick Tuttle, Doug Hogberg, Raminder Bajwa, Jed Souter, James Law, Robert Hagmann, William John Gulland, Ravi Narayanaswami, Jeremy Coriell, Naveen Kumar, Chris Leary, Tara Vazir Ghaemmaghami, Pierre-luc Cantin, Matt Dau, D. Hurt, Matthew Snelham, Julian Ibarz, Daniel Killebrew, John Hu, James Laudon, Cliff Young, Thomas Norrie, Kyle Lucke, Gaurav Agrawal, Clifford Chao, Nishant Patil, Alan Lundin, Eric Wilcox
Publikováno v:
ISCA
Many architects believe that major improvements in cost-energy-performance must now come from domain-specific hardware. This paper evaluates a custom ASIC---called a Tensor Processing Unit (TPU) --- deployed in datacenters since 2015 that accelerates
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31a1493cafb65bd40f89e933605805fd
https://doi.org/10.1145/3140659.3080246
https://doi.org/10.1145/3140659.3080246