GPU Kernel Library

A Microsoft and Tsinghua team analyzed 300 closed GitHub issues across seven mainstream GPU kernel libraries and found that 60.33% of failures trace to compilers, build systems, or runtime environments rather than kernel code itself. Software incompatibility among drivers, CUDA, frameworks, and packages was the single largest cause at 25.33%, suggesting LLM training and serving reliability work should prioritize environment consistency and build pipelines.