- Alternative title
-
Automatisches Tuning von HPC-Anwendungen
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
München, Technische Universität München, Dissertation, 2017
- Keyword
-
Tuning
- Event
-
Veröffentlichung
- (where)
-
München
- (who)
-
Universitätsbibliothek der TU München
- (when)
-
2017
- Creator
- Contributor
-
Gerndt, Hans Michael
Gerndt, Hans Michael
Benkner, Siegfried
- URN
-
urn:nbn:de:bvb:91-diss-20171215-1402278-1-8
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:48 PM CET
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
- Mijaković, Robert
- Gerndt, Hans Michael
- Benkner, Siegfried
- Universitätsbibliothek der TU München
Time of origin
- 2017
Other Objects (12)
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Automatic tuning of HPC applications : the periscope tuning framework ; [PTF]
Automatic Analysis and Exploitation of Dynamism for Energy-Efficient HPC Applications
A Unified Infrastructure for Monitoring and Tuning the Energy Efficiency of HPC Applications
Distributed HPC Applications with Unprivileged Containers
Building automatic adviser & performance tuning tools
Developing effective testing pipelines for HPC applications
MALT & NUMAPROF, Memory Profiling for HPC Applications
Resource-Elasticity Support for Distributed Memory HPC Applications
On the requirement of automatic tuning frequency estimation
Accelerating HPC applications with Out-of-Order Commit Processors
Interactive applications on HPC systems: Jupyterhub, Galaxy, RStudio, XPRA
Towards Cloud-based Asynchronous Elasticity for Iterative HPC Applications
Automatic tuning of HPC applications : the periscope tuning framework ; [PTF]
Automatic Analysis and Exploitation of Dynamism for Energy-Efficient HPC Applications
A Unified Infrastructure for Monitoring and Tuning the Energy Efficiency of HPC Applications
Distributed HPC Applications with Unprivileged Containers
Building automatic adviser & performance tuning tools
Developing effective testing pipelines for HPC applications
MALT & NUMAPROF, Memory Profiling for HPC Applications
Resource-Elasticity Support for Distributed Memory HPC Applications
On the requirement of automatic tuning frequency estimation
Accelerating HPC applications with Out-of-Order Commit Processors
Interactive applications on HPC systems: Jupyterhub, Galaxy, RStudio, XPRA
Towards Cloud-based Asynchronous Elasticity for Iterative HPC Applications
Automatic tuning of HPC applications : the periscope tuning framework ; [PTF]
Automatic Analysis and Exploitation of Dynamism for Energy-Efficient HPC Applications
A Unified Infrastructure for Monitoring and Tuning the Energy Efficiency of HPC Applications
Distributed HPC Applications with Unprivileged Containers
Building automatic adviser & performance tuning tools
Developing effective testing pipelines for HPC applications
MALT & NUMAPROF, Memory Profiling for HPC Applications
Resource-Elasticity Support for Distributed Memory HPC Applications
On the requirement of automatic tuning frequency estimation
Accelerating HPC applications with Out-of-Order Commit Processors
Interactive applications on HPC systems: Jupyterhub, Galaxy, RStudio, XPRA