Tools for High Performance Computing 2024 by Mix, Hartmut; Niethammer, Christoph; Wesarg, Bert;

Proceedings of the 15th International Workshop on Parallel Tools for High Performance Computing

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A termék adatai:

Kiadó Springer Nature Switzerland
Megjelenés dátuma 2026. július 30.

ISBN 9783032165091
Kötéstípus Keménykötés
Terjedelem262 oldal
Méret 235x155 mm
Nyelv angol
Illusztrációk VIII, 262 p. 1 illus.

Kategóriák

Alkalmazott matematika A számítástudomány elmélete, a számítástechnika általában Szoftverfejlesztés Magasszintű programnyelvek

Hosszú leírás:

High Performance Computing plays an important role for numerical simulation and modelling in computational science as well as academic and industrial research. At the same time, using large-scale parallel systems efficiently is also becoming more difficult. A number of tools addressing parallel program development and analysis have emerged in the High Performance Computing community over the last decade. They may have started as collection of small helper script, but in the meantime matured to production grade frameworks. Powerful user interfaces and a rich body of documentation allows easy usage by non-specialist. In fact, some of the tools have been commercialized, while others are driven as open source by a broadening research community.

This book represents the proceedings of the 15th International Parallel Tools Workshop, held in Dresden, Germany, September 19-20, 2024 - which is a forum to discuss the latest advances in parallel tools.

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Tartalomjegyzék:

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Performance measurements of modern Fortran MPI applications with Score-P.- Leveraging a Machine-Readable MPI API Specification for Tool Development.- TALP-Pages: An easy-to-integrate continuous performance monitoring framework.- META: A Toolkit for Template Metaprogramming Performance Analysis.- Score-P and OMPT: Smoothing the bumpy road to OpenMP performance measurement.- OMPT Support in ROCmTM: Past, Present, and Future.- OTF-CPT: Application Insights Gained From Real-Time Critical Path Analysis.- Understanding Performance and Scalability of the CODA CFD Software on the AMD Naples and Rome Architectures.- Performance Analysis and Optimization of CFD Applications.- Exploring Multi-threaded Communication Behavior of a Large-Scale CFD Solver with Vampir.- Augmenting HPC I/O Performance Analysis with Detailed Block Layer Insights.- A Comparison of Profiling Tools on the Fugaku Supercomputer.- A Runtime-Adaptable Instrumentation Back-End for Score-P.- Always-On Application Introspection for Large HPC Systems.- Accelerating the FlowSimulator: Tracing and Profiling of Python Toolchains for Industry-Grade Simulations.- Integrating performance analysis in JupyterLab for OpenMP and MPI.- pytest-isolate-mpi: Towards modern testing of MPI-parallel HPC applications.

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