Tools for High Performance Computing 2018 / 2019
portes grátis
Tools for High Performance Computing 2018 / 2019
Proceedings of the 12th and of the 13th International Workshop on Parallel Tools for High Performance Computing, Stuttgart, Germany, September 2018, and Dresden, Germany, September 2019
Nagel, Wolfgang E.; Resch, Michael M.; Mix, Hartmut; Niethammer, Christoph; Zhou, Huan
Springer Nature Switzerland AG
05/2021
270
Dura
Inglês
9783030660567
15 a 20 dias
588
Descrição não disponível.
Detecting disaster before it strikes: On the challenges of automated building and testing in HPC environments.- Saving Energy Using the READEX Methodology.- The MPI Tool Interfaces: Past, Present, and Future-Capabilities and Prospects.- A tool for runtime analysis of performance and energy usage in NUMA systems.- Usage experiences of performance tools for modern C++ code analysis and optimization.- Performance Analysis of Complex Engineering Frameworks.- System-wide Low-frequency Sampling for Large HPC Systems.- Exploring Space-Time Trade-Off in Backtraces.- Enabling Performance Analysis of Kokkos Applications with Score-P.- Regional Profiling for Efficient Performance Optimization.- Effortless Monitoring of Arithmetic Intensity with PAPI's Counter Analysis Toolkit.- ONE View: a fully automatic method for aggregating key performance metrics and providing users with a synthetic view of HPC applications.- A picture is worth a thousand numbers - Enhancing Cube's analysis capabilities with plugins.- Advanced Python Performance Monitoring with Score-P.
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Tools for parallel computing;Supercomputing;Performance analysis;Software optimization;Debugging;Parallel programming;Software tools;Performance analysis
Detecting disaster before it strikes: On the challenges of automated building and testing in HPC environments.- Saving Energy Using the READEX Methodology.- The MPI Tool Interfaces: Past, Present, and Future-Capabilities and Prospects.- A tool for runtime analysis of performance and energy usage in NUMA systems.- Usage experiences of performance tools for modern C++ code analysis and optimization.- Performance Analysis of Complex Engineering Frameworks.- System-wide Low-frequency Sampling for Large HPC Systems.- Exploring Space-Time Trade-Off in Backtraces.- Enabling Performance Analysis of Kokkos Applications with Score-P.- Regional Profiling for Efficient Performance Optimization.- Effortless Monitoring of Arithmetic Intensity with PAPI's Counter Analysis Toolkit.- ONE View: a fully automatic method for aggregating key performance metrics and providing users with a synthetic view of HPC applications.- A picture is worth a thousand numbers - Enhancing Cube's analysis capabilities with plugins.- Advanced Python Performance Monitoring with Score-P.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
