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Titlebook: GPU Solutions to Multi-scale Problems in Science and Engineering; David A. Yuen,Long Wang,Yaolin Shi Book 2013 Springer-Verlag Berlin Heid

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樓主: 重婚
41#
發(fā)表于 2025-3-28 14:48:30 | 只看該作者
2193-8571 show the public why GPU computing is important and easy to use. It will offer a reason why GPU computing is useful and how to implement codes in an everyday situation.978-3-662-50691-2978-3-642-16405-7Series ISSN 2193-8571 Series E-ISSN 2193-858X
42#
發(fā)表于 2025-3-28 19:42:01 | 只看該作者
43#
發(fā)表于 2025-3-29 00:25:43 | 只看該作者
The Aftermath of the First Standard,ecture. In particular, we execute two most time consuming steps, i.e., the nonlocal projections and FFT transformations on GPU with careful implementations to reduce the data exchanges between the CPU and the GPU. Our experience for the molecule with as many as 512 atoms is also shown.
44#
發(fā)表于 2025-3-29 06:23:32 | 只看該作者
45#
發(fā)表于 2025-3-29 10:28:04 | 只看該作者
https://doi.org/10.1007/978-3-319-50600-5 the single GPU and GPU cluster. It is found that the asymptotic solution is trustable and is mesh-insensitive when the grid size is fine enough to resolve the condensation process. It is worth to mention that the peak value of computing reaches 0.88 TFLOPS when the GPU cluster with 8 GPUs is employed.
46#
發(fā)表于 2025-3-29 12:52:56 | 只看該作者
47#
發(fā)表于 2025-3-29 18:31:38 | 只看該作者
Preliminary Implementation of PETSc Using GPUsn PETSc run unchanged in parallel using these new subclasses. These can be used transparently from existing PETSc application codes in C, C++, Fortran, or Python. The implementation is done with the Thrust and Cusp C++ packages from NVIDIA.
48#
發(fā)表于 2025-3-29 20:39:52 | 只看該作者
Simulation of 1D Condensing Flows with CESE Method on GPU Cluster the single GPU and GPU cluster. It is found that the asymptotic solution is trustable and is mesh-insensitive when the grid size is fine enough to resolve the condensation process. It is worth to mention that the peak value of computing reaches 0.88 TFLOPS when the GPU cluster with 8 GPUs is employed.
49#
發(fā)表于 2025-3-30 03:45:18 | 只看該作者
50#
發(fā)表于 2025-3-30 08:05:52 | 只看該作者
GPU Tuning for First-Principle Electronic Structure Simulationsecture. In particular, we execute two most time consuming steps, i.e., the nonlocal projections and FFT transformations on GPU with careful implementations to reduce the data exchanges between the CPU and the GPU. Our experience for the molecule with as many as 512 atoms is also shown.
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