Spiral AI/ML Collection
These publications describe a hardware/software co-optimization system that picks hardware configurations and generates optimized code.
Software Engineering Institute
Implementing and re-implementing AI/ML software on new hardware platforms is expensive and time consuming. The SEI is developing a hardware/software co-optimization system that automatically picks the most suitable hardware configurations and generates optimized code for the selected hardware and AI/ML algorithms.
Spiral/AIML: Co-optimization for High-Performance, Data-Intensive Computing in Resource Constrained Environments
October 28, 2019 • Presentation
Data-intensive computing is pervasive. This presentation provides an update on research to allow platform developers to realize high-performance AI/ML applications on leading-edge hardware architectures faster and cheaper.read
October 28, 2019 • Poster
This poster describes research to use a linear algebraic approach to graph algorithmsread
November 11, 2019 • Video
Watch SEI Principal Investigator, Dr. Scott McMillan, and research collaborator, CMU ECE Professor Franz Franchetti, discuss a community research effort to develop tools to reduce the prohibitive cost of implementing and re-implementing AI/ML software onwatch