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Tilmann Rabl
Tilmann Rabl
Hasso Plattner Institute, University of Potsdam
Verified email at hpi.de - Homepage
Title
Cited by
Cited by
Year
Bigbench: Towards an industry standard benchmark for big data analytics
A Ghazal, T Rabl, M Hu, F Raab, M Poess, A Crolotte, HA Jacobsen
Proceedings of the 2013 ACM SIGMOD international conference on Management of …, 2013
5102013
Solving big data challenges for enterprise application performance management
T Rabl, M Sadoghi, HA Jacobsen, S Gómez-Villamor, V Muntés-Mulero, ...
arXiv preprint arXiv:1208.4167, 2012
3712012
Benchmarking distributed stream data processing systems
J Karimov, T Rabl, A Katsifodimos, R Samarev, H Heiskanen, V Markl
2018 IEEE 34th international conference on data engineering (ICDE), 1507-1518, 2018
3002018
Analyzing efficient stream processing on modern hardware
S Zeuch, BD Monte, J Karimov, C Lutz, M Renz, J Traub, S Breß, T Rabl, ...
Proceedings of the VLDB Endowment 12 (5), 516-530, 2019
1182019
A data generator for cloud-scale benchmarking
T Rabl, M Frank, HM Sergieh, H Kosch
Performance Evaluation, Measurement and Characterization of Complex Systems …, 2011
1092011
Pump up the volume: Processing large data on gpus with fast interconnects
C Lutz, S Breß, S Zeuch, T Rabl, V Markl
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
932020
TPC-DI: The First Industry Benchmark for Data Integration
M Poess, T Rabl, HA Jacobsen, B Caufield
Proceedings of the VLDB Endowment 7 (13), 2014
882014
Viper: An efficient hybrid pmem-dram key-value store
L Benson, H Makait, T Rabl
Proceedings of the VLDB Endowment 14 (9), 1544-1556, 2021
732021
Efficient Window Aggregation with General Stream Slicing.
J Traub, PM Grulich, AR Cuéllar, S Breß, A Katsifodimos, T Rabl, V Markl
EDBT 19, 97-108, 2019
732019
Generating custom code for efficient query execution on heterogeneous processors
S Breß, B Köcher, H Funke, S Zeuch, T Rabl, V Markl
The VLDB Journal 27, 797-822, 2018
722018
Benchmarking big data systems and the bigdata top100 list
C Baru, M Bhandarkar, R Nambiar, M Poess, T Rabl
Big Data 1 (1), 60-64, 2013
692013
Setting the direction for big data benchmark standards
C Baru, M Bhandarkar, R Nambiar, M Poess, T Rabl
Selected Topics in Performance Evaluation and Benchmarking: 4th TPC …, 2013
642013
Rhino: Efficient management of very large distributed state for stream processing engines
B Del Monte, S Zeuch, T Rabl, V Markl
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
632020
Quantifying TPC-H choke points and their optimizations
M Dreseler, M Boissier, T Rabl, M Uflacker
Proceedings of the VLDB Endowment 13 (8), 1206-1220, 2020
622020
Maximizing persistent memory bandwidth utilization for OLAP workloads
B Daase, LJ Bollmeier, L Benson, T Rabl
Proceedings of the 2021 International Conference on Management of Data, 339-351, 2021
602021
Scotty: Efficient window aggregation for out-of-order stream processing
J Traub, PM Grulich, AR Cuellar, S Breß, A Katsifodimos, T Rabl, V Markl
2018 IEEE 34th International Conference on Data Engineering (ICDE), 1300-1303, 2018
582018
An intermediate representation for optimizing machine learning pipelines
A Kunft, A Katsifodimos, S Schelter, S Breß, T Rabl, V Markl
Proceedings of the VLDB Endowment 12 (11), 1553-1567, 2019
572019
Grizzly: Efficient stream processing through adaptive query compilation
PM Grulich, B Sebastian, S Zeuch, J Traub, J Bleichert, Z Chen, T Rabl, ...
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
532020
Analysis of TPC-DS: the first standard benchmark for SQL-based big data systems
M Poess, T Rabl, HA Jacobsen
Proceedings of the 2017 Symposium on Cloud Computing, 573-585, 2017
432017
Optimized on-demand data streaming from sensor nodes
J Traub, S Breß, T Rabl, A Katsifodimos, V Markl
Proceedings of the 2017 Symposium on Cloud Computing, 586-597, 2017
432017
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