As the military adopts AI/ML to augment human teams, the cost of implementing and re-implementing AI/ML software on new hardware platforms will be prohibitive.To address these challenges, we propose to develop a hardware-software co-optimization system that will
- automatically search and select hardware configurations optimized for a specified computation
- autonomously generate optimized codes for the selected hardware configuration and the irregular, data-intensive computations required for AI/ML algorithms
