黄瓜只有功能皮,可乘以一个密集的矩阵。 如何用黄瓜或其他任何假肢对两个par子进行乘数作业?
There has been a significant shift towards data-parallel programming via systems like OpenCL and CUDA over the last few years, and yet books published even within the last six months never even ...
黄瓜只有功能皮,可乘以一个密集的矩阵。 如何用黄瓜或其他任何假肢对两个par子进行乘数作业?
正如我评论的那样,CUSP图书馆可供矩阵复制。 网址:
Cusp是CUDA稀有线图书馆和制图学图书馆。 Cusp为操纵混凝土和解决par线系统提供了灵活、高级别的接口。
The current version of cuSPARSE (CUDA Toolkit v5.0) supports sparse matrix-sparse matrix multiplications using the cusparse<t>csrgemm functions.
对这一例行工作而言,需要2.0或更好的计算能力。
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