Johannes Pietrzyk

Orcid: 0000-0001-8734-9835

According to our database¹, Johannes Pietrzyk authored at least 18 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Program your (custom) SIMD instruction set on FPGA in C++.

[BibT_eX]

[DOI]

Proceedings of the 14th Conference on Innovative Data Systems Research, 2024

2023

Partition-based SIMD Processing and its Application to Columnar Database Systems.

[BibT_eX]

[DOI]

Datenbank-Spektrum, March, 2023

Simplicity done right for SIMDified query processing on CPU and FPGA.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Simplicity in Management of Data, 2023

Near to Far: An Evaluation of Disaggregated Memory for In-Memory Data Processing.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Disruptive Memory Systems, 2023

Working with Disaggregated Systems. What are the Challenges and Opportunities of RDMA and CXL?

[BibT_eX]

[DOI]

Proceedings of the Datenbanksysteme für Business, 2023

2022

To share or not to share vector registers?

[BibT_eX]

[DOI]

VLDB J., 2022

To use or not to use the SIMD gather instruction?

[BibT_eX]

[DOI]

Proceedings of the International Conference on Management of Data, 2022

2021

Mastering the NEC Vector Engine Accelerator for Analytical Query Processing.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering Workshops, 2021

2020

MorphStore: Analytical Query Engine with a Holistic Compression-Enabled Processing Model.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2020

To share or not to share vector registers?

[BibT_eX]

[DOI]

Johannes Pietrzyk

Dirk Habich

Wolfgang Lehner

Proceedings of the 16th International Workshop on Data Management on New Hardware, 2020

Hardware-Oblivious SIMD Parallelism for In-Memory Column-Stores.

[BibT_eX]

[DOI]

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019

Evaluating the Vector Supercomputer SX-Aurora TSUBASA as a Co-Processor for In-Memory Database Systems.

[BibT_eX]

[DOI]

Datenbank-Spektrum, 2019

MorphStore - In-Memory Query Processing based on Morphing Compressed Intermediates LIVE.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Management of Data, 2019

Fighting the Duplicates in Hashing: Conflict Detection-aware Vectorization of Linear Probing

[BibT_eX]

[DOI]

Proceedings of the Datenbanksysteme für Business, 2019

First Investigations of the Vector Supercomputer SX-Aurora TSUBASA as a Co-Processor for Database Systems.

[BibT_eX]

[DOI]

Proceedings of the Datenbanksysteme für Business, 2019

2018

Conflict Detection-Based Run-Length Encoding - AVX-512 CD Instruction Set in Action.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE International Conference on Data Engineering Workshops, 2018

Beyond Straightforward Vectorization of Lightweight Data Compression Algorithms for Larger Vector Sizes.

[BibT_eX]

[DOI]

Proceedings of the 30th GI-Workshop Grundlagen von Datenbanken, Wuppertal, 2018

2017

Balancing Performance and Energy for Lightweight Data Compression Algorithms.

[BibT_eX]

[DOI]

Proceedings of the New Trends in Databases and Information Systems, 2017

Johannes Pietrzyk

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