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Tools for high performance computing...
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International Workshop on Parallel Tools for High Performance Computing (2018 :)
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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 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Tools for high performance computing 2018/2019/ edited by Hartmut Mix ... [et al.].
Reminder of title:
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 /
other author:
Mix, Hartmut.
corporate name:
International Workshop on Parallel Tools for High Performance Computing
Published:
Cham :Springer International Publishing : : 2021.,
Description:
viii, 270 p. :ill., digital ;24 cm.
[NT 15003449]:
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.
Contained By:
Springer Nature eBook
Subject:
High performance computing - Congresses. -
Online resource:
https://doi.org/10.1007/978-3-030-66057-4
ISBN:
9783030660574
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 /
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 /[electronic resource] :edited by Hartmut Mix ... [et al.]. - Cham :Springer International Publishing :2021. - viii, 270 p. :ill., digital ;24 cm.
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.
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.
ISBN: 9783030660574
Standard No.: 10.1007/978-3-030-66057-4doiSubjects--Topical Terms:
713628
High performance computing
--Congresses.
LC Class. No.: QA76.88 / .I58 2018
Dewey Class. No.: 004.11
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 /
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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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