GTX 1070, Ubuntu 18.04.1 LTS, CUDA 10.0, driver 410.73
I’m trying to profile an application, but selecting my main kernel and running individual analyses yield the following errors:
- "Kernel Performance Limiter" analysis yields "Insufficient Kernel Bounds Data, The data needed to calculate compute, memory, and latency bounds for the kernel could not be collected."
- "Kernel Latency" analysis yields "Insufficient Kernel Latency Data, The data needed to perform latency analysis for the kernel could not be collected."
- "Kernel Compute" analysis yields "Insufficient Kernel SM Data, The data needed to perform all SM analyses for the kernel could not be collected.". Instruction Execution Counts and Floating-Point operation counts work fine.
- "Kernel Memory" analysis yields "Insufficient Kernel Memory Data, The data needed to perform memory bandwidth analysis for the kernel could not be collected."
- "Memory Statistics" analysis yields n/a values for bandwidth all over the place. No actual data is listed.
I’ve tried purging and reinstalling the driver with no luck. Since a new driver was released not too long ago my theory is that the update caused some kind of incompatability. However, the profiler does run without errors. I’m completely at a loss here what could be the problem, and the error messages are utterly useless at debugging the issue.
What is going on here? Am I doing anything wrong?