Research3h ago
K-Search Translates CUDA Kernels to Apple Silicon
The K-Search framework maps decades of CUDA optimization knowledge directly to MLX strategies. It avoids literal instruction copying, instead translating high-level kernel expertise into architecture-native Apple Silicon patterns. This approach reduces the manual effort required to port low-level AI programs. Developers can now deploy optimized kernels on Mac hardware faster.