Tools for High Performance Computing Proceedings of the 2nd International Workshop on Parallel Tools for High Performance Computing, July 2008, HLRS, Stuttgart /
With the advent of multi-core processors, implementing parallel programming methods in application development is absolutely necessary in order to achieve good performance. Soon, 8-core and possibly 16-core processors will be available, even for desktop machines. To support application developers in...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2008.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Integrated Development Environments
- Sun HPC ClusterTools™ 7+: A Binary Distribution of Open MPI
- An Integrated Environment For the Development of Parallel Applications
- Debugging MPI Programs on the Grid using g-Eclipse
- Parallel Communication and Debugging
- Enhanced Memory debugging of MPI-parallel Applications in Open MPI
- MPI Correctness Checking with Marmot
- Memory Debugging in Parallel and Distributed Applications
- Performance Analysis Tools
- Sequential Performance Analysis with Callgrind and KCachegrind
- Improving Cache Utilization Using Acumem VPE
- Parallel Performance Analysis Tools
- The Vampir Performance Analysis Tool-Set
- Usage of the SCALASCA toolset for scalable performance analysis of large-scale parallel applications
- Evolution of a Parallel Performance System
- Cray Performance Analysis Tools.