This is a Studentship opportunity within the Doctoral Centre for Safe, Ethical and Secure Computing (SEtS) in the Department of Computer Science at the University of York. SEtS is a key initiative which supports our strategic vision to internationally lead education and research in the engineering of safe, ethical and secure computational systems. Find out more about SEtS.
About the Project
Supercomputers play an important role in the field of computational science, and are used for a wide range of computationally intensive tasks in various fields across the engineering and sciences spectrum. While the computational power of systems continues to grow, there is typically a hard constraint on the maximum power that can be drawn by a system.
It is therefore vitally important that new systems are procured with energy-efficiency in mind, and that applications are developed to achieve the maximum performance while making every effort to reduce their power requirements.
Energy-efficiency must become a primary consideration throughout a system or an application's lifetime. To ensure this on current- and future-generation computer systems:
(i) tools are required to analyse the energy performance of systems, and their components;
(ii) standardised metrics are needed to allow fair and balanced comparisons between architectures and applications; and,
(iii) development tools are required that can provide scientists with actionable guidance to optimise the energy usage of their applications.
This project seeks to move this forward, first, through building on previous work in developing performance analysis tools that can be used to provide guidance to system designers and application developers seeking to make energy-aware optimisations to their platforms and applications . Secondly, by expanding previous work to establish an industry standard metric for assessing the energy-efficiency of an HPC system or application . And finally, through developing new compilers and tools that are able to optimise an application for energy-efficient execution (based on the analysis and metrics previously developed).
Research areas: High-Performance Computing, Energy-aware computing, Metrics, Low-Power Computing
- Application submission period: 15 November 2022 - 15 February 2023
- Interviews: 1 March - 20 March 2023
- Notification of offers: 31 March 2023
- Deadline for accepting studentship offers: 17 April 2023
Read more about the application process and follow our step-by-step guidance for applicants: How to apply