Cliff Young
Cited by
Cited by
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
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
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
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
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
Embedded computing: a VLIW approach to architecture, compilers and tools
JA Fisher, P Faraboschi, C Young
Elsevier, 2005
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
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
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
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
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
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
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
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
Sparse gpu kernels for deep learning
T Gale, M Zaharia, C Young, E Elsen
SC20: International Conference for High Performance Computing, Networking …, 2020
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
Search for a heavy charged boson in events with a charged lepton and missing transverse momentum from collisions at with the ATLAS detector
G Aad, B Abbott, DC Abbott, AA Abud, K Abeling, DK Abhayasinghe, ...
Physical review D 100 (5), 052013, 2019
Improving the accuracy of static branch prediction using branch correlation
C Young, MD Smith
ACM SIGOPS Operating Systems Review 28 (5), 232-241, 1994
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, B Abeloos, SH Abidi, OS Abouzeid, ...
Physical Review D 98 (1), 012003, 2018
Search for long-lived neutral particles in pp collisions at that decay into displaced hadronic jets in the ATLAS calorimeter
M Aaboud, G Aad, B Abbott, DC Abbott, DK Abhayasinghe, SH Abidi, ...
The European Physical Journal C 79 (6), 1-31, 2019
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