Advancing OpenMP for Future Accelerators
Description
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. They are grouped into the following topics: current and future openMP optimization; targeting more devices; best practices; tools; and simplifying parallelization.
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Content
.- 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.