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 literal instruction copying to better suit Apple Silicon's specific hardware. This approach reduces the manual effort required to port high-performance kernels. Developers can now deploy optimized GPU programs without years of platform-specific expertise.