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Titlebook: OpenMP: Advanced Task-Based, Device and Compiler Programming; 19th International W Simon McIntosh-Smith,Michael Klemm,Jannis Klinkenb Confe

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發(fā)表于 2025-3-25 06:09:49 | 只看該作者
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Idriss Daoudi,Thierry Gautier,Samuel Thibault,Swann Perarnau
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OpenMP: Advanced Task-Based, Device and Compiler Programming978-3-031-40744-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
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https://doi.org/10.1007/978-3-031-40744-4computer systems; compiler; distributed computer systems; embedded systems; Field Programmable Gate Arra
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發(fā)表于 2025-3-26 11:52:26 | 只看該作者
Conference proceedings 2023 15 full papers presented in this book were carefully reviewed and selected from 20 submissions. The papers are divided into the following topical sections: OpenMP and AI;?Tasking Extensions;?OpenMP Offload Experiences;?Beyond Explicit GPU Support; and?OpenMP Infrastructure and Evaluation..
29#
發(fā)表于 2025-3-26 16:25:59 | 只看該作者
Conference proceedings 2023 15 full papers presented in this book were carefully reviewed and selected from 20 submissions. The papers are divided into the following topical sections: OpenMP and AI;?Tasking Extensions;?OpenMP Offload Experiences;?Beyond Explicit GPU Support; and?OpenMP Infrastructure and Evaluation..
30#
發(fā)表于 2025-3-26 17:09:56 | 只看該作者
LM4HPC: Towards Effective Language Model Application in?High-Performance Computingls of the machine learning software stack, with Hugging Face-compatible APIs. Using three representative tasks, we evaluated the prototype of our framework. The results show that LM4HPC can help users quickly evaluate a set of state-of-the-art models and generate insightful leaderboards.
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