Del 15195 i serien Lecture Notes in Computer Science

Advancing OpenMP for Future Accelerators

20th International Workshop on OpenMP, IWOMP 2024, Perth, WA, Australia, September 23–25, 2024, Proceedings

Häftad, Engelska, 2024

AvAlexis Espinosa,Michael Klemm,Bronis R. de Supinski,Maciej Cytowski,Jannis Klinkenberg

789 kr

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This book constitutes the refereed proceedings of the 20th International Workshop on OpenMP: Advancing OpenMP for Future Accelerators, IWOMP 2024, in Perth, WA, Australia, during September 23–25, 2024. The 14 full papers presented in this book were carefully reviewed and selected from 16 submissions.

Produktinformation

Utgivningsdatum2024-09-24
Mått155 x 235 x 13 mm
Vikt365 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor226
FörlagSpringer International Publishing AG
ISBN9783031725661

Tillhör följande kategorier

.- Current and Future OpenMP Optimization. .- Towards Locality-Aware Host-to-Device Offloading in OpenMP..- Performance Porting the ExaStar Multi-physics App Thornado On Heterogeneous Systems - A Fortran-OpenMP Code-base Evaluation..- Event-Based OpenMP Tasks for Time-Sensitive GPU-Accelerated Systems..- Targeting More Devices. .- Integrating Multi-FPGA Acceleration to OpenMP Distributed Computing..- Towards a Scalable and Efficient PGAS-based Distributed OpenMP..- Multilayer Multipurpose Caches for OpenMP Target Regions on FPGAs..- Best Practices. .- Survey of OpenMP Practice in General Open Source Software..- CI/CD Efforts for Validation, Verification and Benchmarking OpenMP Implementations..- Evaluation of Directive-based Programming Models for Stencil Computation on Current GPGPU Architectures..- Tools. .- Finding Equivalent OpenMP Fortran and C/C++ Code Snippets Using Large Language Models..- Visualizing Correctness Issues in OpenMP Programs..- Developing an Interactive OpenMP Programming Book with Large Language Models..- Simplifying Parallelization. .- Automatic Parallelization and OpenMP Offloading of Fortran Array Notation..- Detrimental Task Execution Patterns in Mainstream OpenMP Runtimes.