Efficient microprocessor design through machine learning

01 January 2008 → 30 December 2013
Research Foundation - Flanders (FWO)
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • Computer architecture and networks
    • Distributed computing
    • Information sciences
    • Information systems
    • Programming languages
    • Scientific computing
    • Theoretical computer science
    • Visual computing
    • Other information and computing sciences
  • Engineering and technology
    • Computer hardware
    • Computer theory
    • Scientific computing
    • Other computer engineering, information technology and mathematical engineering
computer architecture machine learning design space exploration
Project description

The goal of this research project is to dramatically reduce the design space exploration time of a microprocessor. We will therefore use machine machine learning techniques to automatically derive performance models. These performance models will then speedup the search and optimization process.