CMU SEI Research Review

Dr. Scott McMillan
Spiral/AIML: Resource-Constrained Co-Optimization for High-Performance, Data-Intensive Computing
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