GLIB
发表于 2025-3-28 14:48:30
2193-8571show 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
贿赂
发表于 2025-3-28 19:42:01
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entice
发表于 2025-3-29 00:25:43
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.
arthroplasty
发表于 2025-3-29 06:23:32
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Presbycusis
发表于 2025-3-29 10:28:04
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.
olfction
发表于 2025-3-29 12:52:56
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是贪求
发表于 2025-3-29 18:31:38
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.
别名
发表于 2025-3-29 20:39:52
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.
FLAIL
发表于 2025-3-30 03:45:18
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滑动
发表于 2025-3-30 08:05:52
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.