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Sustained Simulation Performance 2023-2024
Sustained Simulation Performance 2023-2024
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This volume presents current advances in high-performance computing with a focus on efficiency, scalability, and application performance. It provides concrete results from benchmarking, optimization studies, and real-world simulations on leading supercomputer architectures. Key topics include Computational Fluid Dynamics, performance and power evaluations, high-performance data analytics, and the integration of Artificial Intelligence and Machine Learning with large-scale systems. The contribut…

Sustained Simulation Performance 2023-2024 (el. knyga) (skaityta knyga) | knygos.lt

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This volume presents current advances in high-performance computing with a focus on efficiency, scalability, and application performance. It provides concrete results from benchmarking, optimization studies, and real-world simulations on leading supercomputer architectures.

Key topics include Computational Fluid Dynamics, performance and power evaluations, high-performance data analytics, and the integration of Artificial Intelligence and Machine Learning with large-scale systems. The contributions deliver practical insights into improving sustained simulation performance across diverse domains.

Special features include comparative studies, case-based evaluations, and illustrative figures that clarify technical results. By combining methodological approaches with empirical findings, the volume gives its readers tools to optimize their applications for next-generation computing environments.

Based on selected papers from the WSSP workshops in Germany and Japan in 2023 and 2024, it offers a perspective on global trends in simulation performance and supercomputing research.

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This volume presents current advances in high-performance computing with a focus on efficiency, scalability, and application performance. It provides concrete results from benchmarking, optimization studies, and real-world simulations on leading supercomputer architectures.

Key topics include Computational Fluid Dynamics, performance and power evaluations, high-performance data analytics, and the integration of Artificial Intelligence and Machine Learning with large-scale systems. The contributions deliver practical insights into improving sustained simulation performance across diverse domains.

Special features include comparative studies, case-based evaluations, and illustrative figures that clarify technical results. By combining methodological approaches with empirical findings, the volume gives its readers tools to optimize their applications for next-generation computing environments.

Based on selected papers from the WSSP workshops in Germany and Japan in 2023 and 2024, it offers a perspective on global trends in simulation performance and supercomputing research.

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