| Hardware-oblivious parallelism for in-memory column-stores M Heimel, M Saecker, H Pirk, S Manegold, V Markl Proceedings of the VLDB Endowment 6 (9), 709-720, 2013 | 139 | 2013 |
| Gpu-accelerated database systems: Survey and open challenges S Breß, M Heimel, N Siegmund, L Bellatreche, G Saake Transactions on Large-Scale Data-and Knowledge-Centered Systems XV, 1-35, 2014 | 70 | 2014 |
| MapReduce and PACT-comparing data parallel programming models A Alexandrov, S Ewen, M Heimel, F Hueske, O Kao, V Markl, E Nijkamp, ... Datenbanksysteme für Business, Technologie und Web (BTW), 2011 | 66 | 2011 |
| Massively parallel data analysis with pacts on nephele A Alexandrov, M Heimel, V Markl, D Battré, F Hueske, E Nijkamp, S Ewen, ... Proceedings of the VLDB Endowment 3 (1-2), 1625-1628, 2010 | 64 | 2010 |
| Self-tuning, gpu-accelerated kernel density models for multidimensional selectivity estimation M Heimel, M Kiefer, V Markl Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 42 | 2015 |
| A First Step Towards GPU-assisted Query Optimization. M Heimel, V Markl ADMS@ VLDB 2012, 33-44, 2012 | 41 | 2012 |
| Toward Hardware-Sensitive Database Operations. D Broneske, S Breß, M Heimel, G Saake EDBT, 229-234, 2014 | 30 | 2014 |
| Estimating join selectivities using bandwidth-optimized kernel density models M Kiefer, M Heimel, S Breß, V Markl Proceedings of the VLDB Endowment 10 (13), 2085-2096, 2017 | 23 | 2017 |
| Ocelot/hype: Optimized data processing on heterogeneous hardware S Breß, B Köcher, M Heimel, V Markl, M Saecker, G Saake Proceedings of the VLDB Endowment 7 (13), 1609-1612, 2014 | 23 | 2014 |
| Load-aware inter-co-processor parallelism in database query processing S Breß, N Siegmund, M Heimel, M Saecker, T Lauer, L Bellatreche, ... Data & Knowledge Engineering 93, 60-79, 2014 | 21 | 2014 |
| The Operator Variant Selection Problem on Heterogeneous Hardware. V Rosenfeld, M Heimel, C Viebig, V Markl Adms@ Vldb, 1-12, 2015 | 18 | 2015 |
| Demonstrating efficient query processing in heterogeneous environments T Karnagel, M Hille, M Ludwig, D Habich, W Lehner, M Heimel, V Markl Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 10 | 2014 |
| Exploring the design space of a GPU-aware database architecture S Breß, M Heimel, N Siegmund, L Bellatreche, G Saake New Trends in Databases and Information Systems, 225-234, 2014 | 10 | 2014 |
| Demonstrating Self-Learning Algorithm Adaptivity in a Hardware-Oblivious Database Engine. M Heimel, F Haase, M Meinke, S Breß, M Saecker, V Markl EDBT, 616-619, 2014 | 5 | 2014 |
| Designing a database system for modern processing architectures M Heimel Proceedings of the 2013 SIGMOD/PODS Ph. D. symposium, 13-18, 2013 | 4 | 2013 |
| A bayesian approach to estimating the selectivity of conjunctive predicates M Heimel, V Markl, K Murthy Datenbanksysteme in Business, Technologie und Web (BTW)–13. Fachtagung des …, 2009 | 3 | 2009 |
| Demonstrating transfer-efficient sample maintenance on graphics cards M Kiefer, M Heimel, V Markl EDBT, 2015 | 2 | 2015 |
| Distributed stop operator for query processing S Breβ, M Eyssen, M Heimel US Patent 10,860,609, 2020 | | 2020 |
| Data processing on heterogeneous hardware M Heimel | | 2018 |
| Investigating the impact of hybrid optimization strategies on distributed machine learning algorithms P Gaur, V Markl, M Heimel, C Boden | | 2014 |
