Research2h 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 to maximize Apple Silicon performance. This approach automates the tedious process of rewriting low-level GPU kernels. Developers can now port complex AI workloads to Mac hardware without manual, expert-level kernel tuning.