| Apache Spark: a unified engine for big data processing M Zaharia, RS Xin, P Wendell, T Das, M Armbrust, A Dave, X Meng, ... Communications of the ACM 59 (11), 56-65, 2016 | 3221 | 2016 |
| Shark: SQL and rich analytics at scale RS Xin, J Rosen, M Zaharia, MJ Franklin, S Shenker, I Stoica Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013 | 658 | 2013 |
| Mapping brain activity at scale with cluster computing J Freeman, N Vladimirov, T Kawashima, Y Mu, NJ Sofroniew, DV Bennett, ... Nature methods 11 (9), 941-950, 2014 | 315 | 2014 |
| Scaling spark in the real world: performance and usability M Armbrust, T Das, A Davidson, A Ghodsi, A Or, J Rosen, I Stoica, ... Proceedings of the VLDB Endowment 8 (12), 1840-1843, 2015 | 155 | 2015 |
| The case for tiny tasks in compute clusters K Ousterhout, A Panda, J Rosen, S Venkataraman, R Xin, S Ratnasamy, ... Proceedings of the 14th USENIX conference on Hot Topics in Operating Systems …, 2013 | 120 | 2013 |
| Lineage-driven Fault Injection P Alvaro, J Rosen, JM Hellerstein Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 116 | 2015 |
| Scaling Datalog for Machine Learning on Big Data Y Bu, V Borkar, MJ Carey, J Rosen, N Polyzotis, T Condie, M Weimer, ... Arxiv preprint arXiv:1203.0160, 2012 | 76 | 2012 |
| Iterative MapReduce for Large Scale Machine Learning J Rosen, N Polyzotis, V Borkar, Y Bu, MJ Carey, M Weimer, T Condie, ... arXiv preprint arXiv:1303.3517, 2013 | 55 | 2013 |
| Declarative Systems for Large-Scale Machine Learning V Borkar, Y Bu, MJ Carey, J Rosen, N Polyzotis, T Condie, M Weimer, ... Data Engineering, 24, 2012 | 48 | 2012 |
| REEF: Retainable Evaluator Execution Framework M Weimer, Y Chen, BG Chun, T Condie, C Curino, C Douglas, Y Lee, ... Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 41 | 2015 |
