Poster - Co-Optimization for High-Performance Data-Intensive Computing in Resource-Constrained Environments
• Poster
Spiral AI/ML helps developers build high-performance applications on leading-edge hardware architectures faster and cheaper, speeding new capabilities to serve national and tactical needs.
Publisher
Software Engineering Institute
Subjects
Abstract
As the military adopts artificial intelligence/machine learning (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 building on CMU’s Spiral technology, a hardware-software co-optimization system that will
- automatically search and select hardware configurations that meet CSWAP requirements
- automatically generate optimized codes for the selected hardware configuration and the irregular, data-intensive computations required for AI/ML algorithms
If successful, our solution will allow platform developers to realize high-performance AI/ML applications on leading-edge hardware architectures faster and cheaper. These advances will allow for rapid development and deployment of capabilities across the spectrum of national and tactical needs.
Part of a Collection
CMU SEI Research Review 2020 Day 1 Artifacts