Machine Learning and Manycore Systems Design: A Serendipitous Symbiosis

TL;DR

This paper advocates for a collaborative framework integrating machine learning and manycore system design expertise to address the increasing complexity of large-scale system development.

Contribution

It introduces a data-driven design framework that combines machine learning with expert knowledge for manycore systems.

Findings

Proposes a new collaborative design framework.

Highlights the importance of integrating learning and expert knowledge.

Addresses the complexity of large-scale manycore system design.

Abstract

Tight collaboration between experts of machine learning and manycore system design is necessary to create a data-driven manycore design framework that integrates both learning and expert knowledge. Such a framework will be necessary to address the rising complexity of designing large-scale manycore systems and machine learning techniques.