| TensorFlow: Large-scale machine learning on heterogeneous systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... | 26455* | 2015 |
| TensorFlow: A system for large-scale machine learning M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... OSDI 2016, 265--283, 2016 | 21160 | 2016 |
| Naiad: a timely dataflow system DG Murray, F McSherry, R Isaacs, M Isard, P Barham, M Abadi Proceedings of the 24th ACM Symposium on Operating Systems Principles, 2013 | 1016 | 2013 |
| Scalability! But at what COST? F McSherry, M Isard, DG Murray 15th Workshop on Hot Topics in Operating Systems (HotOS XV), 2015 | 419 | 2015 |
| Ciel: a universal execution engine for distributed data-flow computing DG Murray, M Schwarzkopf, C Smowton, S Smith, A Madhavapeddy, ... NSDI 2011, 2011 | 383 | 2011 |
| Improving Xen security through disaggregation DG Murray, G Miłós, S Hand Proceedings of the fourth ACM SIGPLAN/SIGOPS international conference on …, 2008 | 343 | 2008 |
| Satori: Enlightened page sharing G Miłós, DG Murray, S Hand, MA Fetterman USENIX ATC, 1-1, 2009 | 265 | 2009 |
| Differential dataflow F McSherry, DG Murray, R Isaacs, M Isard Conference on Innovative Data Systems Research (CIDR), 2013 | 226 | 2013 |
| The case for crowd computing DG Murray, E Yoneki, J Crowcroft, S Hand Proceedings of the second ACM SIGCOMM workshop on Networking, systems, and …, 2010 | 120 | 2010 |
| Broom: Sweeping out garbage collection from big data systems I Gog, J Giceva, M Schwarzkopf, K Vaswani, D Vytiniotis, G Ramalingam, ... 15th Workshop on Hot Topics in Operating Systems (HotOS XV), 2015 | 118 | 2015 |
| Reachability-based coordination for cyclic dataflow FD McSherry, R Isaacs, MA Isard, DG Murray US Patent 9,832,068, 2017 | 98 | 2017 |
| A computational model for TensorFlow: an introduction M Abadi, M Isard, DG Murray Proceedings of the 1st ACM SIGPLAN International Workshop on Machine …, 2017 | 93 | 2017 |
| Differential dataflow FD McSherry, R Isaacs, MA Isard, DG Murray US Patent 9,165,035, 2015 | 81 | 2015 |
| 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 |
| The Seven Deadly Sins of Cloud Computing Research M Schwarzkopf, DG Murray, S Hand Proceedings of the 4th USENIX conference on Hot topics in cloud computing, 2012 | 75 | 2012 |
| Scripting the cloud with Skywriting DG Murray, S Hand Proceedings of the 2nd USENIX conference on Hot topics in cloud computing, 12-12, 2010 | 51 | 2010 |
| Steno: automatic optimization of declarative queries DG Murray, M Isard, Y Yu Proceedings of the 32nd ACM SIGPLAN conference on Programming language …, 2011 | 50 | 2011 |
| tf.data: A machine learning data processing framework DG Murray, J Šimša, A Klimovic, I Indyk Proceedings of the VLDB Endowment 14 (12), 2945-2958, 2021 | 44 | 2021 |
| Incremental, iterative data processing with timely dataflow DG Murray, F McSherry, M Isard, R Isaacs, P Barham, M Abadi Communications of the ACM 59 (10), 75-83, 2016 | 44 | 2016 |
| MLSys: The New Frontier of Machine Learning Systems A Ratner, D Alistarh, G Alonso, P Bailis, S Bird, N Carlini, B Catanzaro, ... arXiv preprint arXiv:1904.03257, 2019 | 38 | 2019 |
Michael IsardResearch Scientist, GoogleVerified email at google.com
