Sustained Simulation Performance 2023 2024: Proceedings of the Joint Workshop on Performance, High Computing Center ... and Tohoku University, 2024

Name: Sustained Simulation Performance 2023 2024: Proceedings of the Joint Workshop on Performance, High Computing Center ... and Tohoku University, 2024
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Bol color: rgb(0, 0, 0);">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. 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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color: rgb(0, 0, 0);">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. 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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