Data-parallel data structures
- Self-funded PhD students only
- Number of awards: 1
- Deadline: On going
- Supervisors: Contact Dr Hamish Carr to discuss this project further informally.
As a result of increased core count both on Intel Xeon Phi and nVidia Tesla platforms, global interest in SMP (shared memory parallelism) and SIMD (single instruction multiple data) computations has rekindled. For complex computations, however, development of data structures and algorithms has lagged behind serial methods. The goal of this PhD is therefore to build systematically towards data structures, tools and libraries that effectively exploit the massive parallelism now available.
You must have achieved a bachelor degree with a 2:1 (hons), or equivalent, or a good performance in a Masters level course in a relevant subject. We also recognise relevant industrial and academic experience.
How to apply
Formal applications for research degree study should be made online through the university's website.
If you require any further information please contact the Graduate School Office
e: firstname.lastname@example.org, t: +44 (0)113 343 8000.