NoScope: Optimizing Deep CNN-Based Queries over Video Streams at Scale. D Kang, J Emmons, F Abuzaid, P Bailis, M Zaharia PVLDB 10 (11), 1586-1597, 2017 | 515* | 2017 |
Dawnbench: An end-to-end deep learning benchmark and competition C Coleman, D Narayanan, D Kang, T Zhao, J Zhang, L Nardi, P Bailis, ... Training 100 (101), 102, 2017 | 379 | 2017 |
Eventual consistency today: Limitations, extensions, and beyond P Bailis, A Ghodsi Communications of the ACM 56 (5), 55-63, 2013 | 317* | 2013 |
Mlperf training benchmark P Mattson, C Cheng, G Diamos, C Coleman, P Micikevicius, D Patterson, ... Proceedings of Machine Learning and Systems 2, 336-349, 2020 | 312 | 2020 |
Bolt-on causal consistency P Bailis, A Ghodsi, JM Hellerstein, I Stoica SIGMOD 2013, 761-772, 2013 | 312 | 2013 |
Highly Available Transactions: Virtues and Limitations P Bailis, A Davidson, A Fekete, A Ghodsi, JM Hellerstein, I Stoica Proceedings of the VLDB Endowment 7 (3), 2013 | 300* | 2013 |
Probabilistically Bounded Staleness for Practical Partial Quorums P Bailis, S Venkataraman, MJ Franklin, JM Hellerstein, I Stoica Proceedings of the VLDB Endowment (PVLDB 2012) 5 (8), 776-787, 2012 | 274 | 2012 |
Selection via proxy: Efficient data selection for deep learning C Coleman, C Yeh, S Mussmann, B Mirzasoleiman, P Bailis, P Liang, ... arXiv preprint arXiv:1906.11829, 2019 | 270 | 2019 |
Coordination Avoidance in Database Systems P Bailis, A Fekete, A Ghodsi, JM Hellerstein, I Stoica Proceedings of the VLDB Endowment 8 (3), 2014 | 266* | 2014 |
MacroBase: Prioritizing attention in fast data P Bailis, E Gan, S Madden, D Narayanan, K Rong, S Suri Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 195 | 2017 |
Blazeit: Optimizing declarative aggregation and limit queries for neural network-based video analytics D Kang, P Bailis, M Zaharia arXiv preprint arXiv:1805.01046, 2018 | 181* | 2018 |
Scalable atomic visibility with RAMP transactions P Bailis, A Fekete, JM Hellerstein, A Ghodsi, I Stoica Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 180 | 2014 |
The Network is Reliable: An informal survey of real-world communications failures P Bailis, K Kingsbury Queue 12 (7), 20, 2014 | 152 | 2014 |
Analysis of dawnbench, a time-to-accuracy machine learning performance benchmark C Coleman, D Kang, D Narayanan, L Nardi, T Zhao, J Zhang, P Bailis, ... ACM SIGOPS Operating Systems Review 53 (1), 14-25, 2019 | 138 | 2019 |
The missing piece in complex analytics: Low latency, scalable model management and serving with velox D Crankshaw, P Bailis, JE Gonzalez, H Li, Z Zhang, MJ Franklin, A Ghodsi, ... CIDR 2015, 2014 | 127 | 2014 |
The potential dangers of causal consistency and an explicit solution P Bailis, A Fekete, A Ghodsi, JM Hellerstein, I Stoica Proceedings of the Third ACM Symposium on Cloud Computing, 1-7, 2012 | 121 | 2012 |
The Seattle report on database research D Abadi, A Ailamaki, D Andersen, P Bailis, M Balazinska, P Bernstein, ... ACM Sigmod Record 48 (4), 44-53, 2020 | 108 | 2020 |
Feral concurrency control: An empirical investigation of modern application integrity P Bailis, A Fekete, MJ Franklin, A Ghodsi, JM Hellerstein, I Stoica Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 101 | 2015 |
Programming micro-aerial vehicle swarms with karma K Dantu, B Kate, J Waterman, P Bailis, M Welsh 9th Annual Conference on Embedded Networked Sensor Systems, Seattle, WA, 2011 | 101 | 2011 |
Equivariant Transformer Networks KS Tai, P Bailis, G Valiant ICML, 2019 | 83 | 2019 |