| Morphstore: Analytical query engine with a holistic compression-enabled processing model P Damme, A Ungethüm, J Pietrzyk, A Krause, D Habich, W Lehner arXiv preprint arXiv:2004.09350, 2020 | 35 | 2020 |
| Hardware-Oblivious SIMD Parallelism for In-Memory Column-Stores. A Ungethüm, J Pietrzyk, P Damme, A Krause, D Habich, W Lehner, ... CIDR, 2020 | 29 | 2020 |
| Conflict detection-based run-length encoding-AVX-512 CD instruction set in action A Ungethum, J Pietrzyk, P Damme, D Habich, W Lehner 2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW …, 2018 | 25 | 2018 |
| 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 |
| Fighting the duplicates in hashing: conflict detection-aware vectorization of linear probing J Pietrzyk, A Ungethüm, D Habich, W Lehner Gesellschaft für Informatik, Bonn, 2019 | 16 | 2019 |
| To share or not to share vector registers? J Pietrzyk, D Habich, W Lehner Proceedings of the 16th International Workshop on Data Management on New …, 2020 | 11 | 2020 |
| 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 |
| Working with Disaggregated Systems. What are the Challenges and Opportunities of RDMA and CXL? A Geyer, D Ritter, DH Lee, M Ahn, J Pietrzyk, A Krause, D Habich, ... Gesellschaft für Informatik eV, 2023 | 8 | 2023 |
| First investigations of the vector supercomputer SX-aurora TSUBASA as a co-processor for database systems J Pietrzyk, D Habich, P Damme, W Lehner Gesellschaft für Informatik, Bonn, 2019 | 8 | 2019 |
| Balancing performance and energy for lightweight data compression algorithms A Ungethüm, P Damme, J Pietrzyk, A Krause, D Habich, W Lehner New Trends in Databases and Information Systems: ADBIS 2017 Short Papers and …, 2017 | 6 | 2017 |
| Near to Far: An Evaluation of Disaggregated Memory for In-Memory Data Processing A Geyer, J Pietrzyk, A Krause, D Habich, W Lehner, C Färber, T Willhalm Proceedings of the 1st Workshop on Disruptive Memory Systems, 16-22, 2023 | 5 | 2023 |
| Mastering the NEC vector engine accelerator for analytical query processing A Ungethüm, L Schmidt, J Pietrzyk, D Habich, W Lehner 2021 IEEE 37th International Conference on Data Engineering Workshops (ICDEW …, 2021 | 5 | 2021 |
| Simplicity done right for SIMDified query processing on CPU and FPGA D Habich, A Krause, J Pietrzyk, C Faerber, W Lehner Proceedings of the 1st Workshop on Simplicity in Management of Data, 1-5, 2023 | 4 | 2023 |
| 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 |
| Evaluating the vector supercomputer sx-aurora TSUBASA as a co-processor for in-memory database systems J Pietrzyk, D Habich, P Damme, E Focht, W Lehner Datenbank-Spektrum 19, 183-197, 2019 | 4 | 2019 |
| SIMDified Data Processing-Foundations, Abstraction, and Advanced Techniques D Habich, J Pietrzyk Companion of the 2024 International Conference on Management of Data, 613-621, 2024 | 3 | 2024 |
| Program your (custom) SIMD instruction set on FPGA in C++. J Pietrzyk, A Krause, C Faerber, D Habich, W Lehner CIDR, 2024 | 3 | 2024 |
| Beyond Straightforward Vectorization of Lightweight Data Compression Algorithms for Larger Vector Sizes. J Pietrzyk, A Ungethüm, D Habich, W Lehner Grundlagen von Datenbanken, 71-76, 2018 | 3 | 2018 |
| Designing and Implementing a Generator Framework for a SIMD Abstraction Library J Pietrzyk, A Krause, D Habich, W Lehner arXiv preprint arXiv:2407.18728, 2024 | 1 | 2024 |
| Exploiting Data-Level-Parallelism for Modern In-Memory OLAP Query Engines J Pietrzyk | | 2024 |
Dirk HabichTechnische Universität DresdenDirección de correo verificada de tu-dresden.de
