Data Structures for Multi-Core. The project intends to improve data structures to reduce the bottleneck effect caused by multiple processor cores. The hardware used for a typical server platform has increasing numbers of processor cores. This growing number of cores creates a bottleneck effect when accessing the data that are structured in the shared memory of these servers. These contended data structures limit the server performance and new algorithms are necessary. The project proposes to rel ....Data Structures for Multi-Core. The project intends to improve data structures to reduce the bottleneck effect caused by multiple processor cores. The hardware used for a typical server platform has increasing numbers of processor cores. This growing number of cores creates a bottleneck effect when accessing the data that are structured in the shared memory of these servers. These contended data structures limit the server performance and new algorithms are necessary. The project proposes to relax traditional consistency criteria to provide high concurrency and to leverage optimistic executions that proceed concurrently but may roll back depending on the conflicts with other concurrent executions they encounter. The concurrent data structures would allow application performance to scale with higher numbers of hardware cores.Read moreRead less
Finding concurrency bugs in multithreaded software. This project aims to develop sound and practical techniques for detecting and eliminating concurrency bugs for object-oriented languages like Java, enabled by a new model for concurrent effects. The expected outcome is a novel technology that will significantly improve the safety, productivity and efficiency of large-scale concurrent programming.
Understanding concurrent programs using rely-guarantee thinking. Multi-core processors are standard in computers and devices (e.g. smart phones) but much of the software available for these machines is either unreliable or does not exploit the available hardware parallelism. This project will devise techniques for designing concurrent software that exploits these platforms while delivering dependable operation.
Model-driven engineering of scientific software for graphical processing units. Novel visual models, model-driven engineering techniques and software engineering tools will be invented to synthesize and optimise graphical processing unit software for scientific applications. These will be validated using large data-centric applications from molecular simulation and astrophysics domains.
Software debuggers for next generation heterogeneous supercomputers. Supercomputing underpins a wide range of areas of importance to the Australian economy; mining, agriculture, engineering and medical research to name a few. It is of critical importance that software solutions in these areas behave correctly. This project will develop software tools and techniques to help locate errors in such applications.
Automatic Energy Tuning of Parallel Applications on a Hybrid Supercomputer. Energy efficiency is a critical challenge in building next-generation supercomputers. This project aims to provide a new energy-tuning tool integrated with Cray’s systems, to simplify the process of tuning hybrid applications and managing efficient energy use. Although hardware components play a dominant role in saving energy, heterogeneous systems offer the opportunity to exploit the extremely high concurrency with mode ....Automatic Energy Tuning of Parallel Applications on a Hybrid Supercomputer. Energy efficiency is a critical challenge in building next-generation supercomputers. This project aims to provide a new energy-tuning tool integrated with Cray’s systems, to simplify the process of tuning hybrid applications and managing efficient energy use. Although hardware components play a dominant role in saving energy, heterogeneous systems offer the opportunity to exploit the extremely high concurrency with modest energy consumption using accelerators. Accordingly, the future of parallel computing must consider the trade-off between obtaining the optimal performance and the allowed power budget. The project plans to design parallel programming environments that support energy analysis and tuning.Read moreRead less
Advancing Medical Image Analysis through High Performance Heterogeneous Computing, Numerical Simulation, and Novel Human Computer Interfaces. This project will link Australian researchers with a major multi-national IT company. The engagement of world-class personnel from Microsoft will provide unprecedented opportunities for graduate students to experience research in both an academic and an industrial setting. The participation of Microsoft product division offers the potential to transform th ....Advancing Medical Image Analysis through High Performance Heterogeneous Computing, Numerical Simulation, and Novel Human Computer Interfaces. This project will link Australian researchers with a major multi-national IT company. The engagement of world-class personnel from Microsoft will provide unprecedented opportunities for graduate students to experience research in both an academic and an industrial setting. The participation of Microsoft product division offers the potential to transform the outcomes of this project into widely-used software solutions. The project will pave the way for more widespread and reliable evidenced-based computer-aided diagnosis and image-guided treatment. It will produce well-trained and sought-after graduates and research associates with extensive inter-disciplinary knowledge of medical image analysis and high-performance computing.Read moreRead less