Följ
Manjunath Kudlur
Manjunath Kudlur
MTS, Cerebras Systems
Verifierad e-postadress på umich.edu
Titel
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TensorFlow: Large-scale machine learning on heterogeneous distributed systems.
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
TensorFlow: Large-scale machine learning on heterogeneous distributed …, 2016
43337*2016
A learned representation for artistic style
V Dumoulin, J Shlens, M Kudlur
arXiv preprint arXiv:1610.07629, 2016
9962016
Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv 2016
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
arXiv preprint arXiv:1603.04467, 2019
9932019
Order matters: Sequence to sequence for sets
O Vinyals, S Bengio, M Kudlur
arXiv preprint arXiv:1511.06391, 2015
8682015
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
6022015
Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
arXiv preprint arXiv:1603.04467 14, 2016
2722016
Orchestrating the execution of stream programs on multicore platforms
M Kudlur, S Mahlke
ACM SIGPLAN Notices 43 (6), 114-124, 2008
2682008
TensorFlow: large-scale machine learning on heterogeneous distributed systems. 2015
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
URL http://download. tensorflow. org/paper/whitepaper2015. pdf, 12, 2015
2482015
Exploring the structure of a real-time, arbitrary neural artistic stylization network
G Ghiasi, H Lee, M Kudlur, V Dumoulin, J Shlens
arXiv preprint arXiv:1705.06830, 2017
2442017
Application-specific processing on a general-purpose core via transparent instruction set customization
N Clark, M Kudlur, H Park, S Mahlke, K Flautner
37th international symposium on microarchitecture (MICRO-37'04), 30-40, 2004
2382004
Gadara: Dynamic Deadlock Avoidance for Multithreaded Programs.
Y Wang, T Kelly, M Kudlur, S Lafortune, SA Mahlke
OSDI 8, 281-294, 2008
2002008
12th USENIX symposium on operating systems design and implementation (OSDI 16)
M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ...
Savannah, GA, 265-283, 2016
1892016
The theory of deadlock avoidance via discrete control
Y Wang, S Lafortune, T Kelly, M Kudlur, S Mahlke
ACM SIGPLAN Notices 44 (1), 252-263, 2009
1432009
Flextream: Adaptive compilation of streaming applications for heterogeneous architectures
AH Hormati, Y Choi, M Kudlur, R Rabbah, T Mudge, S Mahlke
2009 18th International Conference on Parallel Architectures and Compilation …, 2009
1342009
Optimus: Efficient realization of streaming applications on FPGAs
A Hormati, M Kudlur, S Mahlke, D Bacon, R Rabbah
Proceedings of the 2008 international conference on Compilers, architectures …, 2008
982008
Modulo graph embedding: Mapping applications onto coarse-grained reconfigurable architectures
H Park, K Fan, M Kudlur, S Mahlke
Proceedings of the 2006 international conference on Compilers, architecture …, 2006
982006
Bridging the computation gap between programmable processors and hardwired accelerators
K Fan, M Kudlur, G Dasika, S Mahlke
2009 IEEE 15th International Symposium on High Performance Computer …, 2009
972009
Google Brain
M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ...
TensorFlow: A system for Large-Scale machine learning, 265-283, 2016
942016
Dynamic control flow in large-scale machine learning
Y Yu, M Abadi, P Barham, E Brevdo, M Burrows, A Davis, J Dean, ...
Proceedings of the Thirteenth EuroSys Conference, 1-15, 2018
692018
& Zheng, X.(2016). 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 …, 0
66
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Artiklar 1–20