Research1h ago
K-Search Translates CUDA Kernels to MLX
A new framework called K-Search translates CUDA optimization knowledge into architecture-native strategies for Apple Silicon. It avoids naive instruction copying to better leverage MLX hardware specifics. This reduces the years of manual expertise typically required to write efficient GPU kernels. Practitioners can now port high-performance AI workloads to Mac hardware faster.