| 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 | 46084* | 2016 |
| A learned representation for artistic style V Dumoulin, J Shlens, M Kudlur arXiv preprint arXiv:1610.07629, 2016 | 1067 | 2016 |
| Order matters: Sequence to sequence for sets O Vinyals, S Bengio, M Kudlur arXiv preprint arXiv:1511.06391, 2015 | 936 | 2015 |
| 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 | 647 | 2015 |
| 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 | 299 | 2016 |
| 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 | 270 | 2015 |
| Orchestrating the execution of stream programs on multicore platforms M Kudlur, S Mahlke ACM SIGPLAN Notices 43 (6), 114-124, 2008 | 269 | 2008 |
| 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 | 263 | 2017 |
| 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 | 240 | 2004 |
| 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 | 203 | 2016 |
| Gadara: Dynamic Deadlock Avoidance for Multithreaded Programs. Y Wang, T Kelly, M Kudlur, S Lafortune, SA Mahlke OSDI 8, 281-294, 2008 | 201 | 2008 |
| 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 | 145 | 2009 |
| 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 | 134 | 2009 |
| 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 | 99 | 2008 |
| 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 | 99 | 2006 |
| & 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 | 99 | |
| 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 | 97 | 2009 |
| 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 | 96 | 2016 |
| 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 | 77 | 2018 |
| Designing a unified programming model for heterogeneous machines M Garland, M Kudlur, Y Zheng SC'12: Proceedings of the International Conference on High Performance …, 2012 | 63 | 2012 |
Michael IsardResearch Scientist, GoogleEmail verificata su google.com
