Published May 23, 2024 | Version v2
Poster Open

Optimised DBMS Deployments and DBMS Benchmarks for Extreme Data Workflows

  • 1. Leibniz Supercomputing Centre (LRZ)
  • 2. Ludwig-Maximilians-Universität München (LMU)
  • 3. Middle East Technical University (METU)
  • 4. ROR icon Middle East Technical University
  • 5. Leibniz Supercomputing Centre
  • 6. ROR icon VSB - Technical University of Ostrava

Description

Poster presented at the High Performance Computing in Science and Engineering 2024 conference (HPCSE 2024).

Acknowledgement: This research received the support of EXA4MIND project, funded by a European Union ́s Horizon Europe Re- search and Innovation Programme, under Grant Agreement N° 101092944. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the granting authority can be held responsible for them.

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exa4mind-dbms-hpcse24-v0.91.pdf

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Additional details

Funding

European Commission
EXA4MIND - EXtreme Analytics for MINing Data spaces 101092944

Dates

Accepted
2024-05-23