Amethyst - A Generalized on-the-Fly De/Re-compression Framework to Accelerate Data-Intensive Integer Operations on GPUs
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
In this paper, we present Amethyst, a generalized on-the-fly de/re-compression framework for GPUs. Our developed framework allows to execute every computational function on every (un)compressed input format and to output the result in an arbitrary (un)compressed format. Thus, our on-the-fly de/re-compression framework approach automatically conducts a decompression on the input side and compression on the output side. To show the feasibility and applicability of our framework, we developed a prototype for integer data types using different integer compression formats. We use this prototype to present exhaustive evaluation results using a great variety of data-intensive operations ranging from simple additions up to compaction and compute-intensive matrix multiplications to validate the efficiency of Amethyst.
Details
| Original language | English |
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| Title of host publication | Advances in Databases and Information Systems - 28th European Conference, ADBIS 2024, Proceedings |
| Editors | Joe Tekli, Johann Gamper, Richard Chbeir, Yannis Manolopoulos |
| Publisher | Springer Science and Business Media B.V. |
| Pages | 107-120 |
| Number of pages | 14 |
| ISBN (print) | 9783031706288 |
| Publication status | Published - 1 Sept 2024 |
| Peer-reviewed | Yes |
Publication series
| Series | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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| Volume | 14918 LNCS |
| ISSN | 0302-9743 |
Conference
| Title | 28th European Conference on Advances in Databases and Information Systems |
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| Abbreviated title | ADBIS 2024 |
| Conference number | 28 |
| Duration | 28 - 31 August 2024 |
| Website | |
| Location | Château-Neuf of Bayonne |
| City | Bayonne |
| Country | France |
External IDs
| ORCID | /0000-0001-8107-2775/work/176861682 |
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Keywords
Research priority areas of TU Dresden
ASJC Scopus subject areas
Keywords
- Compression, GPU, Null Suppression, Performance Optimization