Peter Bailis

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	Tutte	Dal 2019
Citazioni	6721	4914
Indice H	42	39
i10-index	73	69

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Matei ZahariaUC Berkeley and DatabricksEmail verificata su berkeley.edu
Daniel KangUIUCEmail verificata su illinois.edu
Ion StoicaProfessor of Computer Science, UC BerkeleyEmail verificata su cs.berkeley.edu
Joseph HellersteinJim Gray Professor of the Graduate School, UC BerkeleyEmail verificata su berkeley.edu
Firas AbuzaidStanford UniversityEmail verificata su cs.stanford.edu
Edward R GanStanford UniversityEmail verificata su stanford.edu
Michael FranklinUniversity of ChicagoEmail verificata su uchicago.edu
Alan FeketeProfessor of Enterprise Software Systems, University of SydneyEmail verificata su sydney.edu.au
Cody ColemanCoactive AIEmail verificata su cs.stanford.edu
Kexin RongSchool of Computer Science, Georgia Institute of TechnologyEmail verificata su gatech.edu
Deepak NarayananNVIDIAEmail verificata su nvidia.com
Sahaana SuriStanford UniversityEmail verificata su stanford.edu
Kai Sheng TaiMeta AIEmail verificata su cs.stanford.edu
Christopher RéComputer Science, Stanford UniversityEmail verificata su cs.stanford.edu
Kunle OlukotunCadence Design Systems Professor of Computer Science, Stanford UniversityEmail verificata su stanford.edu
Peter KraftGraduate Student, Stanford UniversityEmail verificata su stanford.edu
Gregory ValiantAssistant Professor of Computer Science, Stanford UniversityEmail verificata su stanford.edu
Luigi NardiAssociate Professor in Machine Learning at Lund UniversityEmail verificata su cs.lth.se
Sanjiv NarayanProfessor of Medicine, Stanford UniversityEmail verificata su stanford.edu
Tatsunori HashimotoAssistant Professor, StanfordEmail verificata su stanford.edu

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Peter Bailis

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Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	549*	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	390	2017
Mlperf training benchmark P Mattson, C Cheng, C Coleman, G Diamos, P Micikevicius, D Patterson, ... arXiv preprint arXiv:1910.01500, 2019	339	2019
Eventual consistency today: Limitations, extensions, and beyond P Bailis, A Ghodsi Communications of the ACM 56 (5), 55-63, 2013	324*	2013
Bolt-on causal consistency P Bailis, A Ghodsi, JM Hellerstein, I Stoica SIGMOD 2013, 761-772, 2013	322	2013
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	318	2019
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	307*	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	276	2012
Coordination Avoidance in Database Systems P Bailis, A Fekete, A Ghodsi, JM Hellerstein, I Stoica Proceedings of the VLDB Endowment 8 (3), 2014	273*	2014
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	201*	2018
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	198	2017
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	188	2014
The Network is Reliable: An informal survey of real-world communications failures P Bailis, K Kingsbury Queue 12 (7), 20, 2014	156	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	142	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	131	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	125	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	114	2020
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	104	2011
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	103	2015
Equivariant Transformer Networks KS Tai, P Bailis, G Valiant ICML, 2019	86	2019

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