Peter Bailis

Citované v

	Všetky	Od 2020
Citácie	6965	4690
h-index	43	38
i10-index	72	66

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2012201320142015201620172018201920202021202220232024202533 74 173 341 261 349 456 491 726 848 906 1003 1052 150

Verejný prístup

všetky položky

40 článkov

0 článkov

dostupné

nedostupné

Na základe mandátov na financovanie

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Matei ZahariaUC Berkeley and DatabricksOverená e-mailová adresa na: berkeley.edu
Daniel KangUIUCOverená e-mailová adresa na: illinois.edu
Ion StoicaProfessor of Computer Science, UC BerkeleyOverená e-mailová adresa na: cs.berkeley.edu
Joseph HellersteinJim Gray Professor of the Graduate School, UC BerkeleyOverená e-mailová adresa na: berkeley.edu
Firas AbuzaidStanford UniversityOverená e-mailová adresa na: cs.stanford.edu
Michael FranklinUniversity of ChicagoOverená e-mailová adresa na: uchicago.edu
Alan FeketeProfessor of Enterprise Software Systems, University of SydneyOverená e-mailová adresa na: sydney.edu.au
Edward R GanStanford UniversityOverená e-mailová adresa na: stanford.edu
Cody ColemanCoactive AIOverená e-mailová adresa na: cs.stanford.edu
Kexin RongSchool of Computer Science, Georgia Institute of TechnologyOverená e-mailová adresa na: gatech.edu
Deepak NarayananNVIDIAOverená e-mailová adresa na: nvidia.com
Sahaana SuriStanford UniversityOverená e-mailová adresa na: stanford.edu
Kai Sheng TaiMeta AIOverená e-mailová adresa na: cs.stanford.edu
Christopher RéComputer Science, Stanford UniversityOverená e-mailová adresa na: cs.stanford.edu
Ali GhodsiUC Berkeley, DatabricksOverená e-mailová adresa na: cs.berkeley.edu
Kunle OlukotunCadence Design Systems Professor of Computer Science, Stanford UniversityOverená e-mailová adresa na: stanford.edu
Peter KraftGraduate Student, Stanford UniversityOverená e-mailová adresa na: stanford.edu
Gregory ValiantAssistant Professor of Computer Science, Stanford UniversityOverená e-mailová adresa na: stanford.edu
Tatsunori HashimotoAssistant Professor, StanfordOverená e-mailová adresa na: stanford.edu
Luigi NardiAssociate Professor in Machine Learning at Lund UniversityOverená e-mailová adresa na: cs.lth.se

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Peter Bailis

Google

Overená e-mailová adresa na: google.com - Domovská stránka


Názov Zoradiť podľa citácií Zoradiť podľa roka Zoradiť podľa názvu	Citované v Citované v	Rok
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	555*	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	400	2017
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	362	2019
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	360	2020
Eventual consistency today: Limitations, extensions, and beyond: How can applications be built on eventually consistent infrastructure given no guarantee of safety? P Bailis, A Ghodsi Queue 11 (3), 20-32, 2013	329	2013
Bolt-on causal consistency P Bailis, A Ghodsi, JM Hellerstein, I Stoica SIGMOD 2013, 761-772, 2013	320	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	309*	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	281	2012
Coordination Avoidance in Database Systems P Bailis, A Fekete, A Ghodsi, JM Hellerstein, I Stoica Proceedings of the VLDB Endowment 8 (3), 2014	279	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	199*	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	199	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	191	2014
The Network is Reliable: An informal survey of real-world communications failures P Bailis, K Kingsbury Queue 12 (7), 20, 2014	160	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	148	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	134	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	126	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	115	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	106	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	91	2019

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