The Tribes of Machine Learning and the Realm of Computer Architecture
This paper is a survey for computer architecture researchers interested in applying machine learning, providing an overview of current trends and future directions.
This paper explores the application of fundamental machine learning techniques to computer architecture problems, surveying existing research and identifying future opportunities and challenges. It does not present any new methods or results.
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.