Cirrus: Serverless Distributed Machine Learning
This project involves developing a serverless distributed machine learning framework to lower datacenter costs and achieve better utilization of resources. The idea is computers sometimes have unused computing resources that cannot be used up by conventional tasks, such as VMs, but these unused resources can be used by special serverless tasks, and we intend to write a framework for machine learning that takes advantage of serverless computing. This summer I will work on a python interface and a deep learning model existing Cirrus code.
Message to Sponsor
- Major: Computer Science
- Mentor: Randy Katz, Electrical Engineering and Computer Science