The Tribes of Machine Learning and the Realm of Computer Architecture

TL;DR

This paper explores how machine learning techniques can be applied to computer architecture, surveys existing research, and discusses future opportunities and challenges in integrating these fields.

Contribution

It provides a comprehensive survey of machine learning applications in computer architecture and discusses future research directions and challenges.

Findings

Machine learning techniques are increasingly used in computer architecture research.

There are significant opportunities for ML to optimize hardware design and performance.

Several challenges remain in fully integrating ML methods into architecture workflows.

Abstract

Machine learning techniques have influenced the field of computer architecture like many other fields. This paper studies how the fundamental machine learning techniques can be applied towards computer architecture problems. We also provide a detailed survey of computer architecture research that employs different machine learning methods. Finally, we present some future opportunities and the outstanding challenges that need to be overcome to exploit full potential of machine learning for computer architecture.