GPU Compiler Optimisation (Industry-sponsored 4-year MSc(R) + PhD studentship in the CDT in Pervasive Parallelism)

One fully funded industry-sponsored studentship is available at The University of Edinburgh, as part of the Centre for Doctoral Training in Pervasive Parallelism, starting September 2016. Sponsorship will be provided by ARM, the world’s leading semiconductor IP company.

GPUs were initially designed as dedicated hardware accelerators for a graphics pipeline. Since then, they have expanded their usage to a much wider class of application. GPUs are widely recognised as having the potential to deliver power-efficient, high performance. However, achieving this potential is difficult, due to rapidly evolving architecture and the increasing diversity of applications.

This project will investigate compiler optimisation to improve the performance portability of GPUs. It will explore the impact compiler/runtime optimisation has on existing OpenCL and graphics shader workloads as well as emerging applications from Computer Vision. The area of research is broad and will depend on the student’s interests ranging from high-level parallelisation and mapping of work-flows to low-level instructions scheduling for GPU ISAs.

This project is sponsored by ARM, where there is a unique opportunity to work under the hood on next generation GPUs. The exact details of the project are flexible depending on the candidate’s interests and background.

Eligibility
You should have a good first degree in Computer Science, Electrical Engineering, Physics or Mathematics.

Further information
For further information, please visit:
http://pervasiveparallelism.inf.ed.ac.uk/industry-studentships/

ARM: http://www.arm.com/

How to apply
Apply by submitting a research proposal and completing an online application form: http://pervasiveparallelism.inf.ed.ac.uk/apply/

Please state the name of this project and sponsor in your application.