- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
-
BOUNCE: memory-efficient SIMD approach for lightweight integer compression ; volume:41 ; number:3 ; day:10 ; month:5 ; year:2023 ; pages:439-466 ; date:9.2023
Distributed and parallel databases ; 41, Heft 3 (10.5.2023), 439-466, 9.2023
- Creator
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Hildebrandt, Juliana
Habich, Dirk
Lehner, Wolfgang
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s10619-023-07426-0
- URN
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urn:nbn:de:101:1-2023112813554456698458
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:36 AM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Hildebrandt, Juliana
- Habich, Dirk
- Lehner, Wolfgang
- SpringerLink (Online service)
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Limitations of Intra-operator Parallelism Using Heterogeneous Computing Resources
A Benchmark Framework for Data Compression Techniques
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On-demand re-optimization of integration flows
GignoMDA
DataCalc : Ad-hoc Analyses on Heterogeneous Data Sources
A Technical Perspective of DataCalc : Ad-hoc Analyses on Heterogeneous Data Sources
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BOUNCE : memory-efficient SIMD approach for lightweight integer compression
From a Comprehensive Experimental Survey to a Cost-based Selection Strategy for Lightweight Integer Compression Algorithms
Make Larger Vector Register Sizes New Challenges? : Lessons Learned from the Area of Vectorized Lightweight Compression Algorithms
Limitations of Intra-operator Parallelism Using Heterogeneous Computing Resources
A Benchmark Framework for Data Compression Techniques
Penalized Graph Partitioning for Static and Dynamic Load Balancing
Direct Transformation Techniques for Compressed Data : General Approach and Application Scenarios
On-demand re-optimization of integration flows
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DataCalc : Ad-hoc Analyses on Heterogeneous Data Sources
A Technical Perspective of DataCalc : Ad-hoc Analyses on Heterogeneous Data Sources