[英]matrix max a la matlab on gpu
I'm porting some code from Matlab to run on an Nvidia GPU. 我正在从Matlab移植一些代码以在Nvidia GPU上运行。 I can't figure out a way to do the following:
我想不通以下方法:
B = max(A, 0)
where A and B are matrices. 其中A和B是矩阵。 In words, I need to replace negative values in a matrix with zeros.
换句话说,我需要将矩阵中的负值替换为零。 I know how to write a kernel function to do with, but I'd like to stick with cuBLAS or magma calls if possible (to avoid adding nvcc to my build process).
我知道如何编写与之相关的内核函数,但如果可能的话,我想坚持使用cuBLAS或岩浆调用(以避免在构建过程中添加nvcc)。
I've come up with something using thrust: 我想出了一些推力的方法:
thrust::transform(A, A + m*n, [](double x) { thrust::max(x,0.0); });
If this is incorrect, or if there is a better solution I'm open for other suggestions. 如果这不正确,或者有更好的解决方案,我欢迎您提出其他建议。
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