Tim Kraska
Tim Kraska
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
CrowdDB: answering queries with crowdsourcing
MJ Franklin, D Kossmann, T Kraska, S Ramesh, R Xin
Proceedings of the 2011 ACM SIGMOD International Conference on Management of …, 2011
7892011
Crowder: Crowdsourcing entity resolution
J Wang, T Kraska, MJ Franklin, J Feng
arXiv preprint arXiv:1208.1927, 2012
5872012
The case for learned index structures
T Kraska, A Beutel, EH Chi, J Dean, N Polyzotis
Proceedings of the 2018 International Conference on Management of Data, 489-504, 2018
4062018
Building a database on S3
M Brantner, D Florescu, D Graf, D Kossmann, T Kraska
Proceedings of the 2008 ACM SIGMOD international conference on Management of …, 2008
3972008
MLbase: A Distributed Machine-learning System.
T Kraska, A Talwalkar, JC Duchi, R Griffith, MJ Franklin, MI Jordan
Cidr 1, 2-1, 2013
3792013
An evaluation of alternative architectures for transaction processing in the cloud
D Kossmann, T Kraska, S Loesing
Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010
3692010
Consistency rationing in the cloud: Pay only when it matters
T Kraska, M Hentschel, G Alonso, D Kossmann
Proceedings of the VLDB Endowment 2 (1), 253-264, 2009
3302009
MDCC: Multi-data center consistency
T Kraska, G Pang, MJ Franklin, S Madden, A Fekete
Proceedings of the 8th ACM European Conference on Computer Systems, 113-126, 2013
2792013
How is the weather tomorrow? Towards a benchmark for the cloud
C Binnig, D Kossmann, T Kraska, S Loesing
Proceedings of the Second International Workshop on Testing Database Systems …, 2009
2402009
Leveraging transitive relations for crowdsourced joins
J Wang, G Li, T Kraska, MJ Franklin, J Feng
Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013
2192013
MLI: An API for distributed machine learning
ER Sparks, A Talwalkar, V Smith, J Kottalam, X Pan, J Gonzalez, ...
2013 IEEE 13th International Conference on Data Mining, 1187-1192, 2013
2022013
Automating model search for large scale machine learning
ER Sparks, A Talwalkar, D Haas, MJ Franklin, MI Jordan, T Kraska
Proceedings of the Sixth ACM Symposium on Cloud Computing, 368-380, 2015
143*2015
A sample-and-clean framework for fast and accurate query processing on dirty data
J Wang, S Krishnan, MJ Franklin, K Goldberg, T Kraska, T Milo
Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014
1312014
The end of slow networks: It's time for a redesign
C Binnig, A Crotty, A Galakatos, T Kraska, E Zamanian
arXiv preprint arXiv:1504.01048, 2015
1232015
A demonstration of the bigdawg polystore system
AJ Elmore, J Duggan, M Stonebraker, M Balazinska, U Cetintemel, ...
Proceedings of the VLDB Endowment 8 (12), 1908, 2015
1132015
Crowdsourced enumeration queries
B Trushkowsky, T Kraska, MJ Franklin, P Sarkar
2013 IEEE 29th International Conference on Data Engineering (ICDE), 673-684, 2013
1122013
Superneurons: Dynamic GPU memory management for training deep neural networks
L Wang, J Ye, Y Zhao, W Wu, A Li, SL Song, Z Xu, T Kraska
Proceedings of the 23rd ACM SIGPLAN symposium on principles and practice of …, 2018
1112018
An architecture for compiling udf-centric workflows
A Crotty, A Galakatos, K Dursun, T Kraska, C Binnig, U Cetintemel, ...
Proceedings of the VLDB Endowment 8 (12), 1466-1477, 2015
100*2015
Extending XQuery with window functions
I Botan, PM Fischer, D Kossmann, T Kraska, D Florescu, R Tamosevicius
1002007
Neo: A learned query optimizer
R Marcus, P Negi, H Mao, C Zhang, M Alizadeh, T Kraska, ...
arXiv preprint arXiv:1904.03711, 2019
992019
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Articles 1–20