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Stream-level masks should always override globally-set masks.
Next-kernel masks should always override both stream-level masks
and globally-set masks.
Tests reveal an issue with the next-kernel mask not overriding the
stream mask on CUDA 11.0+. CUDA appears to apply the per-stream
mask to the QMD/TMD after `launchCallback()` is triggered, making
it impossible to override as currently implemented.
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Also rewrite the global masking test to be much more thorough.
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Initially supports the GPU information functions via:
- pysmctrl.get_gpc_info(dev_id)
- pysmctrl.get_tpc_info(dev_id)
- pysmctrl.get_tpc_info_cuda(cuda_dev_id)
All functions are extensively documented. See pysmctrl/__init__.py
for details.
Device partitioning functions have yet to be mapped into Python, as
these will require more testing.
As part of this:
- libsmctrl_get_*_info() functions have been modified to consistently
return positive error codes.
- libsmctrl_get_tpc_info() now uses nvdebug-style device numbering and
uses libsmctrl_get_gpc_info() under the covers. This should be more
reliable.
- libsmctrl_get_tpc_info_cuda() has been introduced as an improved
version of the old libsmctrl_get_tpc_info() function. This continues
to use CUDA-style device numbering, but is now resiliant to CUDA
failures.
- Various minor style improvements in libsmctrl.c
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- Tested working with cuda_scheduling_examiner
- Supports everything described in the accepted RTAS'23 paper
- Can be used as either a shared or staticly-linked library
- Documented in libsmctrl.h
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