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Titlebook: Laser Physics and Technology; Proceedings of the S Pradeep Kumar Gupta,Rajeev Khare Conference proceedings 2015 Springer India 2015 Biomedi

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樓主: Buchanan
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發(fā)表于 2025-3-23 12:59:21 | 只看該作者
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發(fā)表于 2025-3-24 05:27:15 | 只看該作者
D. S. Rananed performance. This created the possibility for new science and a deeper understanding of the underlying physics. The papers in this book demonstrate the value of the project for different sc978-3-642-09941-0978-3-540-85869-0
16#
發(fā)表于 2025-3-24 08:48:17 | 只看該作者
Mukesh P. Joshiperformance of the code as a function of the number of processors is assessed. An increase in the number of processors by a factor of 5 is found to lead to a decrease in performance by approximately 22%..Snapshots of the instantaneous flow field immediately behind the cylinder show that free shear-l
17#
發(fā)表于 2025-3-24 12:19:59 | 只看該作者
S. K. Dixitperformance of the code as a function of the number of processors is assessed. An increase in the number of processors by a factor of 5 is found to lead to a decrease in performance by approximately 22%..Snapshots of the instantaneous flow field immediately behind the cylinder show that free shear-l
18#
發(fā)表于 2025-3-24 18:04:25 | 只看該作者
P. K. Mukhopadhyaytimized for CFD. A systric computational-memory architecture for high-performance CFD solvers is designed on a FPGA board. In this article, the NT and SFS projects are briefly introduced and some typical calculated results are shown as visualized figures.
19#
發(fā)表于 2025-3-24 22:20:41 | 只看該作者
S. K. Mehta,Alok Jain,Deepti Jaintions have to run on more than one CPU. Whereas, the structural grid is quite compact and, does not request that much computational power. Furthermore, the computational grid, distributed on different CPUs, has to be adapted after each deformation step. This also involves additional computational ef
20#
發(fā)表于 2025-3-25 02:12:42 | 只看該作者
K. Thyagarajanlancing already at a moderate CPU-to-block-count ratio. This results in severe performance limitations for parallel computations and inhibits the efficient usage of massively-parallel machines, which are becoming increasingly ubiquitous in the high-performance computing (HPC) arena..We suggest a pra
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