Titlebook: Advancing OpenMP for Future Accelerators; 20th International W Alexis Espinosa,Michael Klemm,Jannis Klinkenberg Conference proceedings 2024

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Performance Porting the?ExaStar Multi-Physics App Thornado On Heterogeneous Systems - A Fortran-Openems. For this study, three HPC systems were chosen: Sunspot, a test-bed system of the Intel-PVC GPU featured supercomputer Aurora and Polaris, an NVIDIA system accelerated by A100 GPU, both located at the Argonne Leadership Computing Facility (ALCF), and the AMD-MI250-based Frontier at the Oak Ridge

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Integrating Multi-FPGA Acceleration to?OpenMP Distributed Computingachieved by adding only a few lines of standard OpenMP code to the application. The resulting framework was applied to the heterogeneous acceleration of an image recoloring application. Experimental results demonstrate speed-ups gains using different acceleration arrangements with CPU, GPU and FPGA.

garrulous

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Survey of?OpenMP Practice in?General Open Source Softwaregood practices from the HPC community?" In particular, we find that . of projects contain at least one example of a rather simple parallel region. In these cases, it is questionable whether parallelization is worth the overhead necessary for thread creation and management. We also observe from the c

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CI/CD Efforts for?Validation, Verification and?Benchmarking OpenMP Implementationsrs across different heterogeneous HPC platforms. With the comprehensive testing through the CI/CD workflow, we aim to provide a comprehensive understanding of the current state of OpenMP (offloading) support in different compilers and heterogeneous platforms consisting of CPUs and GPUs from NVIDIA,

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Finding Equivalent OpenMP Fortran and?C/C++ Code Snippets Using Large Language Modelsng of LLMs’ capabilities in cross-language code snippet identification, ultimately offering actionable recommendations for practitioners seeking to leverage these models for automated dataset generation.

calorie

Visualizing Correctness Issues in?OpenMP Programsbuilder introduces minimal overhead when integrated with state-of-the-art race detectors. We also conducted a user study involving a control group and an experimental group. The results show that our visualization greatly aids programmers in understanding and debugging data races. Beyond our main co

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