【博士奖学金】奥克兰大学

奥克兰大学

Sustainable high-performance computing through minimisation of data transfer

University of Auckland | Faculty of Engineering

博导：Assoc Prof Oliver Sinnen, Dr Andrea Raith 

截止日期：2024年3月30日

资助的博士项目（全球学生） 

项目描述：

A bout the Project

Computer technology has truly conquered our work and life. While we strongly benefit from it, computing consumes an ever increasing fraction of our energy production. Making computing more energy-efficient is therefore of paramount importance, not least due to emerging computing needs of the sensational advances of machine learning and artificial intelligence. Technological advances have made computers more energy-efficient over the years, usually paired with smart approaches to benefit from these advances. For example, the speed of processors can be dynamically adjusted to reduce the power consumption and a lot of research has focused on algorithms using this. However, due to technological developments the movement of data has become a significant source of energy consumption in the computation of a program. Almost all modern computers have more than one processor and data moves between the processors and the memories. Avoiding or minimizing this data movement can significantly reduce the energy consumption of computers. In this project the PhD student will investigate a novel scheduling model and algorithms that can allocate and order sub-tasks of a program onto the processors in such a way that the energy cost will be reduced, while maintaining similar execution speeds, hence making computing more sustainable.

Keywords: Parallel Computing, High Performance Computing, Sustainability, Energy-efficient Computing, Task Scheduling

Domains: Computer Science, Software Engineering, Computer Systems Engineering

Ideal start is early 2024.

This is a cross-department project by supervisors Assoc Prof Oliver Sinnen (Department of Electrical, Computer, and Software Engineering) and Assoc Prof Andrea Raith (Department of Engineering Science).

F unding Notes

PhD project with fully funded scholarship (stipend + fees) for the usual three years of PhD study (possibly extendable for 6 months).

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