| 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 | 57901* | 2016 |
| A learned representation for artistic style V Dumoulin, J Shlens, M Kudlur arXiv preprint arXiv:1610.07629, 2016 | 1369 | 2016 |
| Order matters: Sequence to sequence for sets O Vinyals, S Bengio, M Kudlur arXiv preprint arXiv:1511.06391, 2015 | 1160 | 2015 |
| Tensorflow: A system for large-scale machine learning A Martín, B Paul, C Jianmin, C Zhifeng, D Andy, D Jeffrey, D Matthieu, ... 12th USENIX symposium on operating systems design and implementation (OSDI …, 2016 | 545 | 2016 |
| TensorFlow: large-scale machine learning on heterogeneous distributed systems (2016) M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467 52, 2015 | 525 | 2015 |
| Tensorflow: Large-scale machine learning on heterogeneous distributed systems. CoRR abs/1603.04467 (2016) M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467, 2016 | 373 | 2016 |
| 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 | 359 | 2017 |
| 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, ... | 305 | 2019 |
| 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 | 272 | 2016 |
| Orchestrating the execution of stream programs on multicore platforms M Kudlur, S Mahlke ACM SIGPLAN Notices 43 (6), 114-124, 2008 | 272 | 2008 |
| 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 | 250 | 2004 |
| Gadara: Dynamic Deadlock Avoidance for Multithreaded Programs. Y Wang, T Kelly, M Kudlur, S Lafortune, SA Mahlke OSDI 8, 281-294, 2008 | 201 | 2008 |
| TensorFlow: Large-scale machine learning on heterogeneous systems. arXiv 2015 M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467, 2016 | 159 | 2016 |
| 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 | 135 | 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 | 105 | 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 | 102 | 2006 |
| 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 |
| System, method, and computer program product for transposing a matrix BC Catanzaro, M Kudlur US Patent App. 14/062,820, 2014 | 94 | 2014 |
| 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 | 93 | 2018 |
Michael IsardResearch Scientist, GoogleBestätigte E-Mail-Adresse bei google.com
