Workshop on Machine Learning for Computer Architecture and Systems (MLArchSys)

ML for Computer Architecture and Systems (MLArchSys)
Workshop at ISCA 2021

Submissions Due: April 30, 2021

Machine Learning for Computer Architecture and Systems (MLArchSys) is an interdisciplinary workshop that brings together researchers in computer architecture and systems and machine learning. This workshop is meant to serve as a platform to promote discussions between researchers in the workshop’s target areas. To achieve this, the format of the workshop will consists of a combination of keynote speakers, short talks, followed by a panel discussion. Subject areas of the workshop included (but not limited to):

• Learned models for computer architecture and systems optimization

• Machine learning techniques for compiler and code optimization

• Distributed systems for machine learning workloads

• Machine learning for hardware/software co-design

• Automated machine learning in EDA tools

• Architecture and accelerator design for machine learning models

• Evaluation of machine learning systems and architectures

Submission instructions are available at the workshop website.