, , , , e.a.

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

Specificaties
Paperback, blz. | Engels
Springer International Publishing | e druk, 2022
ISBN13: 9783030660598
Rubricering
Springer International Publishing e druk, 2022 9783030660598
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

This book presents the proceedings of the 12th International Parallel Tools Workshop, held in Stuttgart, Germany, during September 17-18, 2018, and of the 13th International Parallel Tools Workshop, held in Dresden, Germany, during September 2-3, 2019. The workshops are a forum to discuss the latest advances in parallel tools for high-performance computing. 

High-performance computing plays an increasingly important role for numerical simulation and modeling in academic and industrial research. At the same time, using large-scale parallel systems efficiently is becoming more difficult. A number of tools addressing parallel program development and analysis has emerged from the high-performance computing community over the last decade, and what may have started as a collection of a small helper scripts has now matured into production-grade frameworks. Powerful user interfaces and an extensive body of documentation together create a user-friendly environment for parallel tools.

Specificaties

ISBN13:9783030660598
Taal:Engels
Bindwijze:paperback
Uitgever:Springer International Publishing

Inhoudsopgave

Detecting disaster before it strikes: On the challenges of automated building and testing in HPC environments.-&nbsp;Saving Energy Using the READEX Methodology.-&nbsp;The MPI Tool Interfaces: Past, Present, and Future—Capabilities and Prospects.-&nbsp;A tool for runtime analysis of performance and energy usage in NUMA systems.-&nbsp;Usage experiences of performance tools for&nbsp;modern C++ code analysis and optimization.-&nbsp;Performance Analysis of Complex Engineering&nbsp;Frameworks.-&nbsp;System-wide Low-frequency Sampling for Large HPC Systems.-&nbsp;Exploring Space-Time Trade-Off in Backtraces.-&nbsp;Enabling Performance Analysis of Kokkos&nbsp;Applications with Score-P.-&nbsp;Regional Profiling for Efficient Performance&nbsp;Optimization.-&nbsp;Effortless Monitoring of Arithmetic Intensity&nbsp;with PAPI’s Counter Analysis Toolkit.-&nbsp;ONE View: a fully automatic method for aggregating key performance metrics and providing users with a synthetic view of HPC&nbsp;applications.-&nbsp;A picture is worth a thousand numbers –&nbsp;Enhancing Cube’s analysis capabilities with plugins.-&nbsp;Advanced Python Performance&nbsp;Monitoring with Score-P.<div><br></div>

Rubrieken

    Personen

      Trefwoorden

        Tools for High Performance Computing 2018 / 2019