I started GPU computing by mxnetR in windows 10.
Simple question is if mx.mlp with mx.gpu use multiple cores in GPU. I seems not...
Also as a test, I wrote a simple program of mx.mlp, with doParallel. But it seems not to run the program in multiple cores. only 1 core of GPU usage was increased.
Please give me your ideas on how to ue multiple cores in GPU to maximize a value of GPU computing by mx.mlp with mx.gpu.
When running mxnet with GPU, mxnet will use many cores simultaneously by determining which math operations can be run in parallel.
A simple metric to reassure yourself that you're getting value-for-money from the GPU is to use the nvidia-smi command to watch GPU utilization.