Viktor Leis
Viktor Leis
Email verificata su uni-jena.de - Home page
TitoloCitata daAnno
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
2312013
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
1792015
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
1602014
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
1022014
Learned cardinalities: Estimating correlated joins with deep learning
A Kipf, T Kipf, B Radke, V Leis, P Boncz, A Kemper
CIDR, 2019
522019
Massively parallel NUMA-aware hash joins
H Lang, V Leis, MC Albutiu, T Neumann, A Kemper
In Memory Data Management and Analysis, 3-14, 2013
442013
Compiling Database Queries into Machine Code.
T Neumann, V Leis
IEEE Data Eng. Bull. 37 (1), 3-11, 2014
342014
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
312016
Efficient processing of window functions in analytical SQL queries
V Leis, K Kundhikanjana, A Kemper, T Neumann
Proceedings of the VLDB Endowment 8 (10), 1058-1069, 2015
312015
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 (5), 643-668, 2018
302018
Cardinality Estimation Done Right: Index-Based Join Sampling.
V Leis, B Radke, A Gubichev, A Kemper, T Neumann
CIDR, 2017
302017
Transaction Processing in the Hybrid OLTP&OLAP Main-Memory Database System HyPer
A Kemper, T Neumann, J Finis, F Funke, V Leis, H Mühe, T Mühlbauer, ...
282013
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
272018
Effective and robust pruning for top-down join enumeration algorithms
P Fender, G Moerkotte, T Neumann, V Leis
2012 IEEE 28th International Conference on Data Engineering, 414-425, 2012
272012
HyPer: Adapting Columnar Main-Memory Data Management for Transactional AND Query Processing.
A Kemper, T Neumann, F Funke, V Leis, H Mühe
IEEE Data Eng. Bull. 35 (1), 46-51, 2012
222012
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
192018
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
192018
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
182018
Scaling HTM-supported database transactions to many cores
V Leis, A Kemper, T Neumann
IEEE Transactions on Knowledge and Data Engineering 28 (2), 297-310, 2015
152015
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
142018
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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