Research2h ago
K-Search Translates CUDA Kernels to Apple Silicon
The K-Search framework maps decades of CUDA optimization knowledge directly to architecture-native MLX strategies. Instead of instruction-for-instruction copying, it translates high-level kernel logic for Apple Silicon. This reduces the years of expertise typically required to write efficient GPU kernels. Developers can now port complex AI workloads with minimal manual tuning.