From: Tony R. <to...@ca...> - 2013-09-05 16:06:10
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On 09/05/2013 04:18 PM, Arnab Ghoshal wrote: > On Thu, Sep 5, 2013 at 4:54 PM, Tony Robinson <to...@ca...> wrote: >> I guess we can ask the question in the other way: does anyone have any >> profile information to share? That is, what GPU utilisation does Kaldi >> achieve? Clearly if it's currently getting over (say) 50% then there >> is no point in thinking about this any more. > I don't think it is possible to look up the computation utilization of > the GTX cards or at least I haven't figured out how to. If you run the nvidia visual profiler (nvvp) which is available as part of the CUDA toolkit download (https://developer.nvidia.com/nvidia-visual-profiler) you can get the compute utilization and much else besides. All you need do is create a new session with the binary and relevant arguments (ensuring that you binary will only run for a short amount of time e.g ~3 secs) and then generate a timeline for your program. Once you have a timeline you can used the 'guided analysis' to measure different metrics (http://docs.nvidia.com/cuda/profiler-users-guide/index.html#analysis-view) including compute utilization. Tony (who cheated - I'm not a GPU guru - I had to ask a colleague to write the above paragraph for me) -- Dr A J Robinson, Founder and Director of Cantab Research Limited. St Johns Innovation Centre, Cowley Road, Cambridge, CB4 0WS, UK. Company reg no 05697423 (England and Wales), VAT reg no 925606030. |