Sustained Simulation Performance 2023-2024
Springer International Publishing (Verlag)
978-3-032-16412-4 (ISBN)
- Noch nicht erschienen - erscheint am 04.04.2026
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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.
Improving the portability and maintainability of Open OnDemand.- Sustaining Simulation Performance in the Exascale Computing Era with Batched Routines.- HPC and AI: Transformative Challenges and Future Horizons.- Power Capping in High Performance Computing Experiences and Prospects.- Evaluating a Real-Time Lossy Array Compression Algorithm for Computer Simulations.- Parallelization of the Structural Mechanics Solver b2000++pro: Assessment, Status and Future Strategy.- High-resolution global weather simulations with the Model for Prediction Across Scales (MPAS).- Failure Characterization of Human Cancellous Bone During Screw Pull-Out.
| Erscheint lt. Verlag | 4.4.2026 |
|---|---|
| Zusatzinfo | Approx. 120 p. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Analysis |
| Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
| Schlagworte | Artificial Intelligence • data analytics • machine learning • Parallel Computing • performance optimization • Power efficiency • Scientific Applications • supercomputer architectures |
| ISBN-10 | 3-032-16412-5 / 3032164125 |
| ISBN-13 | 978-3-032-16412-4 / 9783032164124 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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