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Tuning parallel applications on software-defined supercomputers (2022-2025)

Abstract

Supercomputers are used by many Australian industries and laboratories to make better products and perform critical predictions, and it is essential that codes operate efficiently. This project aims to assist programmers in identifying performance bottlenecks in their code quickly and easily. The project expects to supersede the current methods, which are often complex and time-consuming, by developing innovative software tools and techniques. The expected outcomes include novel software, verified by industry partners in real world case studies, ranging from life sciences to hypersonic transport. This should provide significant benefits, including the capacity for Australian industries to access world-class supercomputing technology.

Experts

Dr Rowan Gollan

Director of HDR Students of School
School of Mechanical and Mining Engineering
Faculty of Engineering, Architecture and Information Technology
Senior Lecturer
School of Mechanical and Mining Engineering
Faculty of Engineering, Architecture and Information Technology
Rowan Gollan
Rowan Gollan