Research18h ago
K-Search Translates CUDA Kernels to Apple Silicon
The K-Search framework translates decades of CUDA optimization knowledge into architecture-native MLX strategies. Instead of copying instructions, it maps high-level GPU patterns to Apple Silicon's specific hardware traits. This approach bypasses the steep learning curve of low-level kernel programming. Developers can now port complex AI workloads to Mac hardware with far less manual tuning.