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Euro-Par 2024: Parallel Processing: 30th European Conference on and Distributed Processing, Madrid, Spain, August 26-30, 2024, Proceedings, Part IEuro-Par 2024: Parallel Processing: 30th European Conference on and Distributed Processing, Madrid, Spain, August 26-30, 2024, Proceedings, Part I

Euro-Par 2024: Parallel Processing: 30th European Conference on and Distributed Processing, Madrid, Spain, August 26-30, 2024, Proceedings, Part I in Ottawa, ON

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Current price: $77.39
Original price: $96.74
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Euro-Par 2024: Parallel Processing: 30th European Conference on and Distributed Processing, Madrid, Spain, August 26-30, 2024, Proceedings, Part I

By None

Euro-Par 2024: Parallel Processing: 30th European Conference on and Distributed Processing, Madrid, Spain, August 26-30, 2024, Proceedings, Part I in Ottawa, ON

Current price: $77.39
Original price: $96.74
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Size: Kobo eBook

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The three-volume set LNCS 14801, 14802, and 14803 constitutes the proceedings of the 30th European Conference on Parallel and Distributed Processing, Euro-Par 2024, which took place in Madrid, Spain, during August 26-30, 2024.The 88 full papers included in the proceedings were carefully reviewed and selected from 293 submissions. They were organized in topical sections as follows:Part I: Programming, compilers, and performance; scheduling, resource management, cloud, edge computing, and workflows; Part II: Architectures and accelerators; data analytics, AI and computational science; Part III: Theory and algorithms; multidisciplinary, domain-specific and applied parallel and distributed computing.
The three-volume set LNCS 14801, 14802, and 14803 constitutes the proceedings of the 30th European Conference on Parallel and Distributed Processing, Euro-Par 2024, which took place in Madrid, Spain, during August 26-30, 2024.The 88 full papers included in the proceedings were carefully reviewed and selected from 293 submissions. They were organized in topical sections as follows:Part I: Programming, compilers, and performance; scheduling, resource management, cloud, edge computing, and workflows; Part II: Architectures and accelerators; data analytics, AI and computational science; Part III: Theory and algorithms; multidisciplinary, domain-specific and applied parallel and distributed computing.

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