3 ms·
I fixed the installation and ran a benchmark again: https://news.ycombinator.com/item?id=21666411 https://news.ycombinator.com/item?id=21666411 The benchmark i
by bonoboTP 7y ago
I fixed the installation and ran a benchmark again: https://news.ycombinator.com/item?id=21666411 https://news.ycombinator.com/item?id=21666411
The benchmark is not CPU bound, as evidenced by looking at rocm-smi, nvidia-smi (GPU usage at 100%) and htop (low CPU usage).
- dchichkov 7y agoNice. Your results could be more reproducible, if you'd include CuDNN version. Turing architecture support (and optimizations specific to DNN training) are still relatively recent and there are differences in performance between the versions [1]. Multiplying matrices is kinda tricky ;) [2] [1] https://developer.nvidia.com/cudnn https://developer.nvidia.com/cudnn . [2] https://scholar.google.com/scholar?as_ylo=2019&q=nvidia+gemm https://scholar.google.com/scholar?as_ylo=2019&q=nvidia+gemm
- bonoboTP 7y agoCannot edit that comment any more, but it's driver version 430, CUDA 10.1, CuDNN 7.5.