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Speedup of Micromagnetic Simulations with C++ AMP on Graphics Processing Units

机译:在图形处理单元上使用C ++ AMP加速微磁仿真

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摘要

A finite-difference micromagnetic solver called Grace uses C++ Accelerated Massive Parallelism (C++ AMP). The high-speed performance of a single GPU is compared against a typical CPU-based solver. The speedup of GPU to CPU is shown to be two orders of magnitude for problems with larger sizes. This solver can run on GPUs from various hardware vendors, such as Nvidia, AMD, and Intel, regardless of whether it is a dedicated or integrated graphics processor. The Web extra for this article includes appendices of code from the author's original work.
机译:名为Grace的有限差分微电磁求解器使用C ++加速大规模并行(C ++ AMP)。将单个GPU的高速性能与典型的基于CPU的求解器进行了比较。对于较大的问题,GPU向CPU的加速显示为两个数量级。该求解器可以在来自各种硬件供应商(例如Nvidia,AMD和Intel)的GPU上运行,而不管它是专用还是集成的图形处理器。本文的Web附加内容包括作者原始作品的代码附录。

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