Max Heimel
Max Heimel
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Cited by
Cited by
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
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: Selected …, 2014
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
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
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
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
A First Step Towards GPU-assisted Query Optimization.
M Heimel, V Markl
ADMS@ VLDB 2012, 33-44, 2012
Toward Hardware-Sensitive Database Operations.
D Broneske, S Breß, M Heimel, G Saake
EDBT, 229-234, 2014
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
The Operator Variant Selection Problem on Heterogeneous Hardware.
V Rosenfeld, M Heimel, C Viebig, V Markl
Adms@ Vldb, 1-12, 2015
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
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: 17th East European …, 2014
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
Processing techniques for queries where predicate values are unknown until runtime
M Heimel, I Oukid, L Passing, S Richter, JK Waack
US Patent 11,372,860, 2022
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
Designing a database system for modern processing architectures
M Heimel
Proceedings of the 2013 SIGMOD/PODS Ph. D. symposium, 13-18, 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
Distributed stop operator for query processing
S Breβ, M Eyssen, M Heimel
US Patent 10,860,609, 2020
Demonstrating transfer-efficient sample maintenance on graphics cards
M Kiefer, M Heimel, V Markl
EDBT, 2015
Processing limit queries using distributed stop operator
S Breß, M Eyssen, M Heimel
US Patent 11,188,563, 2021
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