Vijay Vasudevan
TitleCited byYear
Tensorflow: A system for large-scale machine learning
M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ...
12th {USENIX} Symposium on Operating Systems Design and Implementation …, 2016
9532*2016
TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
Software available from tensorflow. org 1 (2), 2015
45352015
In-datacenter performance analysis of a tensor processing unit
NP Jouppi, C Young, N Patil, D Patterson, G Agrawal, R Bajwa, S Bates, ...
2017 ACM/IEEE 44th Annual International Symposium on Computer Architecture …, 2017
10702017
Learning transferable architectures for scalable image recognition
B Zoph, V Vasudevan, J Shlens, QV Le
Proceedings of the IEEE conference on computer vision and pattern …, 2018
7612018
FAWN: A fast array of wimpy nodes
DG Andersen, J Franklin, M Kaminsky, A Phanishayee, L Tan, ...
Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles …, 2009
6292009
Safe and effective fine-grained TCP retransmissions for datacenter communication
V Vasudevan, A Phanishayee, H Shah, E Krevat, DG Andersen, ...
ACM SIGCOMM computer communication review 39 (4), 303-314, 2009
4702009
Measurement and Analysis of TCP Throughput Collapse in Cluster-based Storage Systems.
A Phanishayee, E Krevat, V Vasudevan, DG Andersen, GR Ganger, ...
FAST 8, 1-14, 2008
2972008
Autoaugment: Learning augmentation policies from data
ED Cubuk, B Zoph, D Mane, V Vasudevan, QV Le
arXiv preprint arXiv:1805.09501, 2018
1662018
TensorFlow: large-scale machine learning on heterogeneous systems. Software available from tensorflow. org. 2015
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
URL https://www. tensorflow. org, 2015
1462015
Mnasnet: Platform-aware neural architecture search for mobile
M Tan, B Chen, R Pang, V Vasudevan, M Sandler, A Howard, QV Le
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
1202019
On application-level approaches to avoiding TCP throughput collapse in cluster-based storage systems
E Krevat, V Vasudevan, A Phanishayee, DG Andersen, GR Ganger, ...
Proceedings of the 2nd international workshop on Petascale data storage …, 2007
862007
The Data on Diversity: It's not just about being fair
B Nelson
80*2014
Neural optimizer search with reinforcement learning
I Bello, B Zoph, V Vasudevan, QV Le
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
722017
Energy-efficient cluster computing with FAWN: Workloads and implications
V Vasudevan, D Andersen, M Kaminsky, L Tan, J Franklin, I Moraru
Proceedings of the 1st International Conference on Energy-Efficient …, 2010
622010
Understanding and simplifying one-shot architecture search
G Bender, PJ Kindermans, B Zoph, V Vasudevan, Q Le
International Conference on Machine Learning, 549-558, 2018
592018
TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. 2015. Software available from tensorflow. org
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
URL https://www. tensorflow. org, 2019
532019
Using vector interfaces to deliver millions of IOPS from a networked key-value storage server
V Vasudevan, M Kaminsky, DG Andersen
Proceedings of the Third ACM Symposium on Cloud Computing, 8, 2012
462012
FAWN: a fast array of wimpy nodes
DG Andersen, J Franklin, M Kaminsky, A Phanishayee, L Tan, ...
Communications of the ACM 54 (7), 101-109, 2011
452011
FAWNdamentally Power-efficient Clusters.
V Vasudevan, J Franklin, DG Andersen, A Phanishayee, L Tan, ...
HotOS 9, 22-22, 2009
372009
The Case for VOS: The Vector Operating System.
V Vasudevan, DG Andersen, M Kaminsky
HotOS, 2011
222011
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Articles 1–20