Main-memory hash joins on multi-core CPUs: Tuning to the underlying hardware C Balkesen, J Teubner, G Alonso, MT Özsu 2013 IEEE 29th International Conference on Data Engineering (ICDE), 362-373, 2013 | 412 | 2013 |
Multi-core, main-memory joins: Sort vs. hash revisited C Balkesen, G Alonso, J Teubner, MT Özsu Proceedings of the VLDB Endowment 7 (1), 85-96, 2013 | 362 | 2013 |
Main-memory hash joins on modern processor architectures Ç Balkesen, J Teubner, G Alonso, MT Özsu IEEE Transactions on Knowledge and Data Engineering 27 (7), 1754-1766, 2014 | 91 | 2014 |
Rip: Run-based intra-query parallelism for scalable complex event processing C Balkesen, N Dindar, M Wetter, N Tatbul Proceedings of the 7th ACM international conference on Distributed event …, 2013 | 82 | 2013 |
Adaptive input admission and management for parallel stream processing C Balkesen, N Tatbul, MT Özsu Proceedings of the 7th ACM international conference on Distributed event …, 2013 | 82 | 2013 |
A many-core architecture for in-memory data processing SR Agrawal, S Idicula, A Raghavan, E Vlachos, V Govindaraju, ... Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017 | 62 | 2017 |
Scalable data partitioning techniques for parallel sliding window processing over data streams C Balkesen, N Tatbul International workshop on data management for sensor networks (DMSN), 2011 | 57 | 2011 |
Event processing support for cross-reality environments N Dindar, Ç Balkesen, K Kromwijk, N Tatbul IEEE Pervasive Computing 8 (3), 34-41, 2009 | 25 | 2009 |
Rapid: In-memory analytical query processing engine with extreme performance per watt C Balkesen, N Kunal, G Giannikis, P Fender, S Sundara, F Schmidt, ... Proceedings of the 2018 International Conference on Management of Data, 1407 …, 2018 | 23 | 2018 |
Boomerang join: a network efficient, late-materialized, distributed join technique C Balkesen, S Idicula, N Agarwal US Patent 10,397,317, 2019 | 14 | 2019 |
Computing intersection of sets of numbers C Balkesen, MT Buehler, R Dorsch, G Hutzl, MW Kaufmann, D Pfefferkorn, ... US Patent 8,380,737, 2013 | 12 | 2013 |
Methods for substituting a semi-join operator with alternative execution strategies and selection methods to choose the most efficient solution under different plans P Fender, B Schlegel, M Brantner, C Balkesen, N Agarwal US Patent 11,468,064, 2022 | 10 | 2022 |
In-memory parallel join processing on multi-core processors C Balkesen ETH Zurich, 2014 | 9 | 2014 |
Efficient partitioning of relational data N Koochakzadeh, N Kunal, S Idicula, C Balkesen, N Agarwal US Patent 10,592,531, 2020 | 7 | 2020 |
Write buffer for improved DRAM write access patterns C Balkesen, M Buehler, R Dorsch, G Hutzl, MW Kaufmann, D Pfefferkorn, ... US Patent 8,495,286, 2013 | 7 | 2013 |
Limited memory and statistics resilient hash join execution C Balkesen, N Kunal, N Agarwal US Patent 10,810,207, 2020 | 6 | 2020 |
Partitioning-based vectorized hash join with compact storage footprint C Balkesen, N Agarwal US Patent 10,599,647, 2020 | 5 | 2020 |
Big data processing: Scalability with extreme single-node performance V Govindaraju, S Idicula, S Agrawal, V Vardarajan, A Raghavan, J Wen, ... 2017 IEEE International Congress on Big Data (BigData Congress), 129-136, 2017 | 4 | 2017 |
DEBS'11 grand challenge: streams, rules, or a custom solution? L Aders, R Buffat, Z Chothia, M Wetter, C Balkesen, PM Fischer, N Tatbul | 4 | 2011 |
Efficient Main-Memory Hash Joins on Multi-Core CPUs: Does Hardware Still Matter C Balkesen, J Teubner, G Alonso, MT Ozsu Under Submission, 0 | 2 | |