Re:CuPy – NumPy-compatible matrix library accelerated by CUDA
by elcritch on Wednesday April 17, 2019 @12:30AM
(#19679757)
Ah, that makes sense. I've only dabbled a little with DNN's recently, but pytorh/tensorflow seemed very targeted toward deep learning. Generic tools seem more useful to me. What are you doing with fft's?
I haven't dug too deep with CudaNative / Cuarray to understand the state of Julia perf debugging. Though here's one post on the topic:
In general It's been very pleasant experimenting with gpu programming in Julia. I couldn't quite grok tensorflow code, and it's cool to just declare a Julia array and send it the GPU.
I haven't dug too deep with CudaNative / Cuarray to understand the state of Julia perf debugging. Though here's one post on the topic:
https://discourse.julialang.org/t/cudanative-is-awesome/1786...
In general It's been very pleasant experimenting with gpu programming in Julia. I couldn't quite grok tensorflow code, and it's cool to just declare a Julia array and send it the GPU.