Lightweight Data Compression Algorithms: An Experimental Survey (Experiments and Analyses). P Damme, D Habich, J Hildebrandt, W Lehner EDBT, 72-83, 2017 | 89 | 2017 |
From a comprehensive experimental survey to a cost-based selection strategy for lightweight integer compression algorithms P Damme, A Ungethüm, J Hildebrandt, D Habich, W Lehner ACM Transactions on Database Systems (TODS) 44 (3), 1-46, 2019 | 58 | 2019 |
Compression-aware in-memory query processing: Vision, system design and beyond J Hildebrandt, D Habich, P Damme, W Lehner Data Management on New Hardware: 7th International Workshop on Accelerating …, 2017 | 34 | 2017 |
Morphstore-in-memory query processing based on morphing compressed intermediates LIVE D Habich, P Damme, A Ungethüm, J Pietrzyk, A Krause, J Hildebrandt, ... Proceedings of the 2019 International Conference on Management of Data, 1917 …, 2019 | 21 | 2019 |
To use or not to use the SIMD gather instruction? D Habich, J Pietrzyk, A Krause, J Hildebrandt, W Lehner Proceedings of the 18th International Workshop on Data Management on New …, 2022 | 10 | 2022 |
Metamodeling Lightweight Data Compression Algorithms and its Application Scenarios. J Hildebrandt, D Habich, T Kühn, P Damme, W Lehner ER Forum/Demos, 128-141, 2017 | 10 | 2017 |
BOUNCE: memory-efficient SIMD approach for lightweight integer compression J Hildebrandt, D Habich, W Lehner Distributed and Parallel Databases 41 (3), 439-466, 2023 | 7 | 2023 |
Insights into the comparative evaluation of lightweight data compression algorithms P Damme, D Habich, J Hildebrandt, W Lehner Algorithms 1 (1oranN), 1mappingdependingontheimplementation, 2017 | 7 | 2017 |
Partition-based SIMD Processing and its Application to Columnar Database Systems J Hildebrandt, J Pietrzyk, A Krause, D Habich, W Lehner Datenbank-Spektrum 23 (1), 53-63, 2023 | 4 | 2023 |
Model Kit for Lightweight Data Compression Algorithms. J Hildebrandt, D Habich, P Damme, W Lehner EDBT, 692-693, 2016 | 4 | 2016 |
Towards A General SIMD Concurrent Approach to Accelerating Integer Compression Algorithms. J Hildebrandt, D Habich, W Lehner EDBT, 2:414-2:418, 2022 | 3 | 2022 |
LCTL: Lightweight compression template library J Hildebrandt, A Berthold, D Habich, W Lehner 2021 IEEE International Conference on Big Data (Big Data), 2966-2975, 2021 | 3 | 2021 |
Integrating Lightweight Compression Capabilities into Apache Arrow. J Hildebrandt, D Habich, W Lehner DATA, 55-66, 2020 | 3 | 2020 |
Reliable In-Memory Data Management on Unreliable Hardware. D Habich, T Kolditz, J Hildebrandt, W Lehner DATA, 365-372, 2018 | 3 | 2018 |
Model-Driven Integration of Compression Algorithms in Column-Store Database Systems. J Hildebrandt, D Habich, W Lehner LWDA, 30-41, 2016 | 2 | 2016 |
Modularization of lightweight data compression algorithms J Hildebrandt, D Habich, P Damme, W Lehner Technical report, Department of Computer Science, Technische Universität Dresden, 2015 | 2 | 2015 |
Modularisierung leichtgewichtiger Kompressionsalgorithmen. J Hildebrandt, D Habich, P Damme, W Lehner GvD, 54-59, 2015 | 2 | 2015 |
Lower Bound-oriented Parameter Calculation for AN Coding J Hildebrandt, T Kolditz, D Habich, W Lehner 2018 International Symposium on Information Theory and Its Applications …, 2018 | 1 | 2018 |
[Vision Paper] Digital Twin System–From Frameworks to a Comprehensive System J Hildebrandt, D Habich, W Lehner 2024 IEEE International Conference on Big Data (BigData), 2888-2897, 2024 | | 2024 |
Model-based Integer Compression Schemes for In-Memory Query Processing J Hildebrandt | | 2024 |