View Proposal

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Proposer

Adam Sampson

Title

GPU operating system

Goal

Build a concurrent operating system that runs on a GPU

Description

A modern GPU is a highly capable, multicore, general-purpose computer system, that just happens to be particularly good at vector arithmetic. But they're generally used for graphics or for offloading maths-intensive tasks from the main CPU. What would a proper operating system designed to take advantage of a GPU's architecture look like? There's plenty of existing work in operating systems consisting of communicating parallel tasks - you could look at microkernel systems like Minix, or OSs for loosely-coupled parallel architectures like HeliOS. See what you can do to enable efficient, secure (if possible!) general-purpose computing on the GPU. This is a complex project that will require low-level understanding of GPU architecture and some experience of operating system programming.

Resources

Background

Url

Difficulty Level

High

Ethical Approval

None

Number Of Students

1

Supervisor

Adam Sampson

Keywords

gpu, operating system, kernel, security

Degrees

Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Master of Engineering in Software Engineering
Master of Science in Computer Science for Cyber Security
Master of Science in Computing (2 Years)
Master of Science in Information Technology (Software Systems)
Master of Science in Network Security
Master of Science in Software Engineering
Bachelor of Science in Computing Science
Bachelor of Engineering in Robotics
Bachelor of Science in Computer Science (Cyber Security)