Using the NVIDIA Python plugin for Ganglia monitoring under Bright Cluster Manager

The github repo for Ganglia gmond Python plugins contains a plugin for monitoring NVIDIA GPUs. This presumes that the NVIDIA Deployment Kit, which contains the NVML (management library), is installed via the normal means into the usual places. If you are using Bright Cluster Manager, you would have used Bright's cuda60/tdk to do the installation. That means that the libnvidia-ml.so library is not in one of the standard library directories. To fix it, just modify the /etc/init.d/gmond init script. Near the top, modify the LD_LIBRARY_PATH:

export LD_LIBRARY_PATH=/cm/local/apps/cuda/libs/current/lib64

The modifications to Ganglia Web, however, are out of date. I will make another post once I figure out how to do modify Ganglia Web to display the NVIDIA metrics.

UPDATE: Well, turns out there seems to be no need to modify the Ganglia Web installation. Under the host view, there is a tab for "gpu metrics" which shows 22 available metrics.