EngD with St. Andrews (Large-Scale Data Processing using Heterogeneous Parallel Systems)

Self-driving autonomous vehicles and other AI applications, such as natural language processing, generate massive amounts of data from a large number of sources. This requires fast and energy-efficient processing on different types of platforms ranging from resource-constrained embedded and mobile devices to powerful desktop systems and data center hardware.

This project is an exciting opportunity to work with Codeplay’s research team on targeting such large-scale processing to the most recent heterogeneous platforms (including automotive, comprising e.g. a mixture of CPUs, GPUs, DSPs and FPGAs), with the aim to improve performance and portability of the algorithms across a wide range of different platforms.

View more external jobs