CUDA Device To Device transfer expensive(CUDA 设备到设备传输昂贵)
问题描述
我编写了一些代码来尝试交换二维矩阵的象限以用于 FFT,该矩阵存储在平面数组中.
I have written some code to try to swap quadrants of a 2D matrix for FFT purposes, that is stored in a flat array.
请注意,此代码采用设备指针,并执行 DeviceToDevice 传输.
Notice that this code takes device pointers, and does DeviceToDevice transfers.
为什么这似乎运行得这么慢?这可以以某种方式优化吗?与使用常规 memcpy 在主机上进行相同操作相比,我对此进行了计时,并且速度慢了大约 2 倍.
Why does this seem to run so slow? Can this be optimized somehow? I timed this compared to the same operation on host using regular memcpy and it was about 2x slower.
有什么想法吗?
推荐答案
我最终编写了一个内核来进行交换.这确实比 Device to Device memcpy 操作快
I ended up writing a kernel to do the swaps. This was indeed faster than the Device to Device memcpy operations
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