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Johannes Pietrzyk
Johannes Pietrzyk
Verified email at tu-dresden.de
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Cited by
Year
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
262020
Hardware-Oblivious SIMD Parallelism for In-Memory Column-Stores.
A Ungethüm, J Pietrzyk, P Damme, A Krause, D Habich, W Lehner, ...
CIDR, 2020
222020
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
202018
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
172019
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
112019
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
72019
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
62020
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
52022
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
52017
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
32023
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
32021
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
32019
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
22018
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
12023
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
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
2023
Conflict Detection-Based Run-Length Encoding: AVX-512 CD Instruction Set in Action
W Lehner, A Ungethum, J Pietrzyk, P Damme, D Habich
Technische Universität Dresden, 2023
2023
MorphStore—In-Memory Query Processing based on Morphing Compressed Intermediates LIVE
IP Damme, IA Ungethüm, J Pietrzyk, IA Krause, IJ Hildebrandt
2019
Fighting the Duplicates in Hashing
J Pietrzyk, A Ungethüm, D Habich, W Lehner
BTW 2019, 2019
2019
Conflict Detection-Based Run-Length Encoding
W Lehner, A Ungethum, J Pietrzyk, P Damme, D Habich
2018
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Articles 1–20