Prati
Cliff Young
Cliff Young
Google Brain
Potvrđena adresa e-pošte na post.harvard.edu
Naslov
Citirano
Citirano
Godina
Google's neural machine translation system: Bridging the gap between human and machine translation
Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ...
arXiv preprint arXiv:1609.08144, 2016
93832016
In-datacenter performance analysis of a tensor processing unit
NP Jouppi, C Young, N Patil, D Patterson, G Agrawal, R Bajwa, S Bates, ...
Proceedings of the 44th annual international symposium on computer …, 2017
59962017
Anton, a special-purpose machine for molecular dynamics simulation
DE Shaw, MM Deneroff, RO Dror, JS Kuskin, RH Larson, JK Salmon, ...
Communications of the ACM 51 (7), 91-97, 2008
9982008
Anton 2: raising the bar for performance and programmability in a special-purpose molecular dynamics supercomputer
DE Shaw, JP Grossman, JA Bank, B Batson, JA Butts, JC Chao, ...
SC'14: Proceedings of the International Conference for High Performance …, 2014
7552014
Millisecond-scale molecular dynamics simulations on Anton
DE Shaw, RO Dror, JK Salmon, JP Grossman, KM Mackenzie, JA Bank, ...
Proceedings of the conference on high performance computing networking …, 2009
7102009
Embedded computing: a VLIW approach to architecture, compilers and tools
JA Fisher, P Faraboschi, C Young
Elsevier, 2004
5332004
Mesh-tensorflow: Deep learning for supercomputers
N Shazeer, Y Cheng, N Parmar, D Tran, A Vaswani, P Koanantakool, ...
Advances in neural information processing systems 31, 2018
4312018
Ten lessons from three generations shaped google’s tpuv4i: Industrial product
NP Jouppi, DH Yoon, M Ashcraft, M Gottscho, TB Jablin, G Kurian, ...
2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture …, 2021
4082021
Anton, a special-purpose machine for molecular dynamics simulation
DE Shaw, MM Deneroff, RO Dror, JS Kuskin, RH Larson, JK Salmon, ...
ACM SIGARCH Computer Architecture News 35 (2), 1-12, 2007
3742007
Mlperf training benchmark
P Mattson, C Cheng, G Diamos, C Coleman, P Micikevicius, D Patterson, ...
Proceedings of Machine Learning and Systems 2, 336-349, 2020
3602020
Tpu v4: An optically reconfigurable supercomputer for machine learning with hardware support for embeddings
N Jouppi, G Kurian, S Li, P Ma, R Nagarajan, L Nai, N Patil, ...
Proceedings of the 50th annual international symposium on computer …, 2023
3332023
A domain-specific supercomputer for training deep neural networks
NP Jouppi, DH Yoon, G Kurian, S Li, N Patil, J Laudon, C Young, ...
Communications of the ACM 63 (7), 67-78, 2020
3332020
Motivation for and evaluation of the first tensor processing unit
N Jouppi, C Young, N Patil, D Patterson
ieee Micro 38 (3), 10-19, 2018
3202018
Sparse gpu kernels for deep learning
T Gale, M Zaharia, C Young, E Elsen
SC20: International Conference for High Performance Computing, Networking …, 2020
2802020
A new golden age in computer architecture: Empowering the machine-learning revolution
J Dean, D Patterson, C Young
IEEE Micro 38 (2), 21-29, 2018
2462018
Measurement of the inclusive and fiducial production cross-sections in the lepton+jets channel in pp collisions at with the ATLAS detector
M Aaboud, G Aad, B Abbott, B Abeloos, SH Abidi, OS AbouZeid, ...
The European Physical Journal C 78 (6), 1-31, 2018
2442018
A comparative analysis of schemes for correlated branch prediction
C Young, N Gloy, MD Smith
ACM SIGARCH Computer Architecture News 23 (2), 276-286, 1995
2251995
A domain-specific architecture for deep neural networks
NP Jouppi, C Young, N Patil, D Patterson
Communications of the ACM 61 (9), 50-59, 2018
2152018
Improving the accuracy of static branch prediction using branch correlation
C Young, MD Smith
ACM SIGOPS Operating Systems Review 28 (5), 232-241, 1994
1721994
Measurements of differential cross-sections of highly boosted top quarks decaying to all-hadronic final states in collisions at using the ATLAS …
M Aaboud, G Aad, B Abbott, O Abdinov, B Abeloos, SH Abidi, ...
Physical Review D 98 (1), 012003, 2018
1622018
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