CUDA，如何选择<<< Blocks，Threads<>>？ [英] CUDA, how to choose <<<Blocks, Threads<>>?

问题描述

在库中，我使用调用几个CUDA内核。当然，我想得到最好的性能。

In a library, I use calls to several CUDA kernels. Of course I want to get best performance. How users use the library can vary a bit.

块/线程的数量对此有很大的影响。

The number of Blocks / Threads influences this significantly.

有没有一些规则如何选择块/线程以获得最佳性能？

Is there some rule on how to chose Blocks / Threads for best performance?

例如（只是一个问题），最好选择块高，线程低？还是以其他方式？
或者最好使用GetDeviceProperties（）？中的一些值。

For example (just a question), is it best to chose blocks high, threads low? Or the other way around? Or is it best to use some values from GetDeviceProperties()?

推荐答案

这是由NVIDIA提供的选择[您必须尝试更改线程和块在xls的值]最佳配置，您可以实现最佳占用，从而给你最好的性能。

you can use dependency calculator.xls, which is provided by NVIDIA for choosing[you have to try changing values of threads and blocks in xls] the best configuration, on which you can achieve best occupancy which in turn give you the best performance.

这篇关于CUDA，如何选择<<< Blocks，Threads<>>？的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！