Optimizing CUDA Graph for Grouped GEMM with CLC Work Stealing
A new technique leveraging the CLC work-stealing mechanism enables CUDA Graph compatibility for grouped_gemm implementations, optimizing computational performance for complex AI models.
Sources x.com