Research3h ago
K-Search Translates CUDA Kernels to Apple Silicon
The K-Search framework translates CUDA optimization knowledge into architecture-native strategies for MLX. Instead of copying instructions, it maps high-level GPU expertise to Apple Silicon's specific hardware traits. This approach reduces the years of manual effort typically required to write efficient kernels. Developers can now port complex AI workloads with significantly less friction.