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[null,"1.","Record Nr.",null,"UNINA9910484867103321"]
[null,null,"Autore",null,"Mix Hartmut"]
[null,null,"Titolo",null,"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 / / edited by Hartmut Mix, Christoph Niethammer, Huan Zhou, Wolfgang E. Nagel, Michael M. Resch"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021"]
[null,null,"ISBN",null,"3-030-66057-5"]
[null,null,"Edizione",null,"[1st ed. 2021.]"]
[null,null,"Descrizione fisica",null,"1 online resource (269 pages)"]
[null,null,"Disciplina",null,"003.3"]
[null,null,"Soggetti",null,"Mathematics - Data processing"]
[{"$nulls":4},"Computers"]
[{"$nulls":4},"Computer programming"]
[{"$nulls":4},"Computational Science and Engineering"]
[{"$nulls":4},"Hardware Performance and Reliability"]
[{"$nulls":4},"Programming Techniques"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"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."]
[null,null,null,"Sommario/riassunto","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."]