| A view of cloud computing M Armbrust, A Fox, R Griffith, AD Joseph, R Katz, A Konwinski, G Lee, ... Communications of the ACM 53 (4), 50-58, 2010 | 13539 | 2010 |
| Spark: Cluster computing with working sets. M Zaharia, M Chowdhury, MJ Franklin, S Shenker, I Stoica HotCloud 10 (10-10), 95, 2010 | 7050 | 2010 |
| Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing M Zaharia, M Chowdhury, T Das, A Dave, J Ma, M McCauly, MJ Franklin, ... Presented as part of the 9th {USENIX} Symposium on Networked Systems Design …, 2012 | 5998 | 2012 |
| 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 | 2618 | 2016 |
| Mesos: A platform for fine-grained resource sharing in the data center. B Hindman, A Konwinski, M Zaharia, A Ghodsi, AD Joseph, RH Katz, ... NSDI 11 (2011), 22-22, 2011 | 2439 | 2011 |
| Improving MapReduce performance in heterogeneous environments. M Zaharia, A Konwinski, AD Joseph, RH Katz, I Stoica Osdi 8 (4), 7, 2008 | 2395 | 2008 |
| Mllib: Machine learning in apache spark X Meng, J Bradley, B Yavuz, E Sparks, S Venkataraman, D Liu, ... The Journal of Machine Learning Research 17 (1), 1235-1241, 2016 | 2195 | 2016 |
| Delay scheduling: a simple technique for achieving locality and fairness in cluster scheduling M Zaharia, D Borthakur, J Sen Sarma, K Elmeleegy, S Shenker, I Stoica Proceedings of the 5th European conference on Computer systems, 265-278, 2010 | 1964 | 2010 |
| Spark sql: Relational data processing in spark M Armbrust, RS Xin, C Lian, Y Huai, D Liu, JK Bradley, X Meng, T Kaftan, ... Proceedings of the 2015 ACM SIGMOD international conference on management of …, 2015 | 1668 | 2015 |
| Dominant resource fairness: Fair allocation of multiple resource types. A Ghodsi, M Zaharia, B Hindman, A Konwinski, S Shenker, I Stoica Nsdi 11 (2011), 24-24, 2011 | 1520 | 2011 |
| Discretized streams: Fault-tolerant streaming computation at scale M Zaharia, T Das, H Li, T Hunter, S Shenker, I Stoica Proceedings of the twenty-fourth ACM symposium on operating systems …, 2013 | 1362 | 2013 |
| On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021 | 1090 | 2021 |
| Managing data transfers in computer clusters with orchestra M Chowdhury, M Zaharia, J Ma, MI Jordan, I Stoica SIGCOMM 41 (4), 2011 | 772 | 2011 |
| Sparrow: distributed, low latency scheduling K Ousterhout, P Wendell, M Zaharia, I Stoica Proceedings of the twenty-fourth ACM symposium on operating systems …, 2013 | 756 | 2013 |
| Discretized streams: an efficient and fault-tolerant model for stream processing on large clusters M Zaharia, T Das, H Li, S Shenker, I Stoica Proceedings of the 4th USENIX conference on Hot Topics in Cloud Computing, 10-10, 2012 | 730 | 2012 |
| Learning spark: lightning-fast big data analysis H Karau, A Konwinski, P Wendell, M Zaharia " O'Reilly Media, Inc.", 2015 | 654 | 2015 |
| 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 | 637 | 2013 |
| Colbert: Efficient and effective passage search via contextualized late interaction over bert O Khattab, M Zaharia Proceedings of the 43rd International ACM SIGIR conference on research and …, 2020 | 605 | 2020 |
| Job scheduling for multi-user mapreduce clusters M Zaharia, D Borthakur, JS Sarma, K Elmeleegy, S Shenker, I Stoica Technical Report UCB/EECS-2009-55, EECS Department, University of California …, 2009 | 489 | 2009 |
| PipeDream: Generalized pipeline parallelism for DNN training D Narayanan, A Harlap, A Phanishayee, V Seshadri, NR Devanur, ... Proceedings of the 27th ACM Symposium on Operating Systems Principles, 1-15, 2019 | 462 | 2019 |
