, , , e.a.

Tools for High Performance Computing 2009

Proceedings of the 3rd International Workshop on Parallel Tools for High Performance Computing, September 2009, ZIH, Dresden

Specificaties
Gebonden, 184 blz. | Engels
Springer Berlin Heidelberg | 2010e druk, 2010
ISBN13: 9783642112607
Rubricering
Springer Berlin Heidelberg 2010e druk, 2010 9783642112607
€ 120,99
Levertijd ongeveer 8 werkdagen

Samenvatting

As more and more hardware platforms support parallelism, parallel programming is gaining momentum. Applications can only leverage the performance of multi-core processors or graphics processing units if they are able to split a problem into smaller ones that can be solved in parallel. The challenges emerging from the development of parallel applications have led to the development of a great number of tools for debugging, performance analysis and other tasks. The proceedings of the 3rd International Workshop on Parallel Tools for High Performance Computing provide a technical overview in order to help engineers, developers and computer scientists decide which tools are best suited to enhancing their current development processes.

Specificaties

ISBN13:9783642112607
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:184
Uitgever:Springer Berlin Heidelberg
Druk:2010

Inhoudsopgave

PERISCOPE: An Online-Based Distributed Performance Analysis Tool.- Comprehensive Performance Tracking with Vampir 7.- Performance Analysis and Workload Characterization with IPM.- Recent Developments in the Scalasca Toolset.- MUST: A Scalable Approach to Runtime Error Detection in MPI Programs.- HPC Profiling with the Sun Studio™ Performance Tools.- Performance Tuning of x86 OpenMP Codes with MAQAO.- Scalable Parallel Debugging with g-Eclipse.- New Analysis Techniques in the CEPBA-Tools Environment.- The Importance of Run-Time Error Detection.- Collecting Performance Data with PAPI-C.- ISP Tool Update: Scalable MPI Verification.
€ 120,99
Levertijd ongeveer 8 werkdagen

Rubrieken

    Personen

      Trefwoorden

        Tools for High Performance Computing 2009