- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
Dresden, Technische Universität Dresden, Masterarbeit, 2022
- Event
-
Veröffentlichung
- (where)
-
Dresden
- (who)
-
Technische Universität Dresden
- (when)
-
2022
- Creator
-
Tiede, David
- Contributor
-
Dienel, René
Habich, Dirk
- URN
-
urn:nbn:de:bsz:14-qucosa2-820881
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:39 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Tiede, David
- Dienel, René
- Habich, Dirk
- Technische Universität Dresden
Time of origin
- 2022
Other Objects (12)
Big by blocks : Modular Analytics
AL: Unified Analytics in Domain Specific Terms
Big Data causing Big (TLB) Problems : Taming Random Memory Accesses on the GPU
Limitations of Intra-operator Parallelism Using Heterogeneous Computing Resources
A Technical Perspective of DataCalc : Ad-hoc Analyses on Heterogeneous Data Sources
A Benchmark Framework for Data Compression Techniques
Teaching In-Memory Database Systems the Detection of Hardware Errors
On-demand re-optimization of integration flows
DataCalc : Ad-hoc Analyses on Heterogeneous Data Sources
Direct Transformation Techniques for Compressed Data : General Approach and Application Scenarios
GignoMDA
BOUNCE: memory-efficient SIMD approach for lightweight integer compression
Big by blocks : Modular Analytics
AL: Unified Analytics in Domain Specific Terms
Big Data causing Big (TLB) Problems : Taming Random Memory Accesses on the GPU
Limitations of Intra-operator Parallelism Using Heterogeneous Computing Resources
A Technical Perspective of DataCalc : Ad-hoc Analyses on Heterogeneous Data Sources
A Benchmark Framework for Data Compression Techniques
Teaching In-Memory Database Systems the Detection of Hardware Errors
On-demand re-optimization of integration flows
DataCalc : Ad-hoc Analyses on Heterogeneous Data Sources
Direct Transformation Techniques for Compressed Data : General Approach and Application Scenarios
GignoMDA
BOUNCE: memory-efficient SIMD approach for lightweight integer compression
Big by blocks : Modular Analytics
AL: Unified Analytics in Domain Specific Terms
Big Data causing Big (TLB) Problems : Taming Random Memory Accesses on the GPU
Limitations of Intra-operator Parallelism Using Heterogeneous Computing Resources
A Technical Perspective of DataCalc : Ad-hoc Analyses on Heterogeneous Data Sources
A Benchmark Framework for Data Compression Techniques
Teaching In-Memory Database Systems the Detection of Hardware Errors
On-demand re-optimization of integration flows
DataCalc : Ad-hoc Analyses on Heterogeneous Data Sources
Direct Transformation Techniques for Compressed Data : General Approach and Application Scenarios
GignoMDA