Software Development

CUDA Graphs

Expert skill for CUDA Graph capture and optimization for reduced launch overhead. Capture CUDA operations into graphs, instantiate and execute graph instances, update graph node parameters, profile graph vs stream execution, design graph-friendly kernel patterns, and optimize launch latency for inference.

Publisher / source
a5c-ai/babysitter (found on GitHub top repositories)
Upstream record
a5c-ai/babysitter
Version
Version 1
Published
Publication review
Approved for publication
Content fingerprint
928d742044a5bb4717ad6a72757b832a82f62d7e5a69e7e69434ec91959db17c