Research3h ago
K-Search Translates CUDA Kernels to Apple Silicon
The K-Search framework translates decades of CUDA optimization knowledge into architecture-native strategies for MLX. It avoids naive instruction copying by mapping high-level GPU patterns to Apple Silicon's specific memory and compute traits. This research reduces the manual effort required to port high-performance kernels, accelerating model deployment on Mac hardware.