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Viktor Leis
Viktor Leis
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Zitiert von
Zitiert von
Jahr
How good are query optimizers, really?
V Leis, A Gubichev, A Mirchev, P Boncz, A Kemper, T Neumann
Proceedings of the VLDB Endowment 9 (3), 204-215, 2015
8022015
The adaptive radix tree: ARTful indexing for main-memory databases
V Leis, A Kemper, T Neumann
2013 IEEE 29th International Conference on Data Engineering (ICDE), 38-49, 2013
5792013
Learned cardinalities: Estimating correlated joins with deep learning
A Kipf, T Kipf, B Radke, V Leis, P Boncz, A Kemper
CIDR, 2019
4702019
Morsel-driven parallelism: a NUMA-aware query evaluation framework for the many-core age
V Leis, P Boncz, A Kemper, T Neumann
Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014
3862014
Query optimization through the looking glass, and what we found running the join order benchmark
V Leis, B Radke, A Gubichev, A Mirchev, P Boncz, A Kemper, T Neumann
The VLDB Journal 27, 643-668, 2018
1962018
Cardinality Estimation Done Right: Index-Based Join Sampling.
V Leis, B Radke, A Gubichev, A Kemper, T Neumann
CIDR, 2017
1842017
Everything you always wanted to know about compiled and vectorized queries but were afraid to ask
T Kersten, V Leis, A Kemper, T Neumann, A Pavlo, P Boncz
Proceedings of the VLDB Endowment 11 (13), 2209-2222, 2018
1742018
Surf: Practical range query filtering with fast succinct tries
H Zhang, H Lim, V Leis, DG Andersen, M Kaminsky, K Keeton, A Pavlo
Proceedings of the 2018 International Conference on Management of Data, 323-336, 2018
1732018
Managing non-volatile memory in database systems
A Van Renen, V Leis, A Kemper, T Neumann, T Hashida, K Oe, Y Doi, ...
Proceedings of the 2018 International Conference on Management of Data, 1541 …, 2018
1512018
The ART of practical synchronization
V Leis, F Scheibner, A Kemper, T Neumann
Proceedings of the 12th International Workshop on Data Management on New …, 2016
1432016
Exploiting hardware transactional memory in main-memory databases
V Leis, A Kemper, T Neumann
2014 IEEE 30th International Conference on Data Engineering, 580-591, 2014
1412014
Building a bw-tree takes more than just buzz words
Z Wang, A Pavlo, H Lim, V Leis, H Zhang, M Kaminsky, DG Andersen
Proceedings of the 2018 International Conference on Management of Data, 473-488, 2018
1392018
LeanStore: In-memory data management beyond main memory
V Leis, M Haubenschild, A Kemper, T Neumann
2018 IEEE 34th International Conference on Data Engineering (ICDE), 185-196, 2018
1372018
HOT: A height optimized trie index for main-memory database systems
R Binna, E Zangerle, M Pichl, G Specht, V Leis
Proceedings of the 2018 International Conference on Management of Data, 521-534, 2018
1262018
Persistent memory I/O primitives
A Van Renen, L Vogel, V Leis, T Neumann, A Kemper
Proceedings of the 15th International Workshop on Data Management on New …, 2019
1222019
Get real: How benchmarks fail to represent the real world
A Vogelsgesang, M Haubenschild, J Finis, A Kemper, V Leis, ...
Proceedings of the Workshop on Testing Database Systems, 1-6, 2018
992018
Adaptive execution of compiled queries
A Kohn, V Leis, T Neumann
2018 IEEE 34th International Conference on Data Engineering (ICDE), 197-208, 2018
962018
Massively parallel NUMA-aware hash joins
H Lang, V Leis, MC Albutiu, T Neumann, A Kemper
In Memory Data Management and Analysis: First and Second International …, 2015
772015
Tidy Tuples and Flying Start: fast compilation and fast execution of relational queries in Umbra
T Kersten, V Leis, T Neumann
The VLDB Journal 30, 883-905, 2021
642021
Compiling Database Queries into Machine Code.
T Neumann, V Leis
IEEE Data Eng. Bull. 37 (1), 3-11, 2014
642014
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