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
New Directions in Mining Complex Spatial Relationships in Large Scientific Databases. International and Australian organizations are investing in large projects involving the collection of terabytes of scientific data. The Anglo-Australian Galaxy Redshift Survey in eastern Australia has obtained data for a quarter of a million galaxies. Similarly the Tropical Ocean Global Atmophere(TOGA) program is being expanded to collect data from the equatorial pacific region which will help better understa ....New Directions in Mining Complex Spatial Relationships in Large Scientific Databases. International and Australian organizations are investing in large projects involving the collection of terabytes of scientific data. The Anglo-Australian Galaxy Redshift Survey in eastern Australia has obtained data for a quarter of a million galaxies. Similarly the Tropical Ocean Global Atmophere(TOGA) program is being expanded to collect data from the equatorial pacific region which will help better understand the El Nino/Southern Oscillation Cycle. We are developing powerful spatial data mining tools which will go a long way in finding potential nuggets of useful information in these large databases and help Australian and international scientists hypothesise new theories to explain the underlying phenomenon.Read moreRead less
Algorithmic engineering and complexity analysis of protocols for consensus. Opinions, rankings, observations, votes, gene sequences, sensor-networks in security systems or climate models. Massive datasets and the ability to share information at unprecedented speeds, makes finding the most central representative, the Consensus Problem, extremely complex. This research delivers new insights and new, efficient algorithms.
Planet-scale reorganizations of the plate-mantle system. Vast sedimentary basins, fold belts and associated resources represent the main source of Australia's wealth, formed largely as consequences of major global tectonic events. We propose to connect two key national Simulation and Modelling infrastructures to a novel geodynamic modelling tool, developed specifically for modelling plate tectonics at the global and regional scale and suitable to unravel the causes and consequences of sudden gl ....Planet-scale reorganizations of the plate-mantle system. Vast sedimentary basins, fold belts and associated resources represent the main source of Australia's wealth, formed largely as consequences of major global tectonic events. We propose to connect two key national Simulation and Modelling infrastructures to a novel geodynamic modelling tool, developed specifically for modelling plate tectonics at the global and regional scale and suitable to unravel the causes and consequences of sudden global plate tectonic reorganizations. The knowledge-base derived from this work will considerably improve our understanding of catastrophic tectonic events affecting plate boundaries and plate interiors.Read moreRead less
Approximate proximity for applications in data mining and visualization. Data Mining, pattern recognition and visualization of relational information are all important data analysis techniques in which it is essential to determine which data points are in the vicinity of others. The huge size of the data sets involved and the need for real-time interaction preclude the use of conventional methods for the precise computation of the proximity information required. This project will develop efficie ....Approximate proximity for applications in data mining and visualization. Data Mining, pattern recognition and visualization of relational information are all important data analysis techniques in which it is essential to determine which data points are in the vicinity of others. The huge size of the data sets involved and the need for real-time interaction preclude the use of conventional methods for the precise computation of the proximity information required. This project will develop efficient algorithms and data structures for gathering high-quality approximations of the full proximity information, and will use these innovations as the basis for new, practical tools for visualization, and clustering in data mining.Read moreRead less
Adaptive Key-value Store for Future Extreme Heterogeneous Systems. Safe, lasting storage of data, and efficient access to it, is vital for all aspects of computing, ranging from e-commerce applications, and data-management in governments. For the storage of data, persistent key-value stores are central in modern computing platforms. However, contemporary key-value stores have not been designed for emerging extreme heterogeneous computational systems with future hardware accelerators and storage ....Adaptive Key-value Store for Future Extreme Heterogeneous Systems. Safe, lasting storage of data, and efficient access to it, is vital for all aspects of computing, ranging from e-commerce applications, and data-management in governments. For the storage of data, persistent key-value stores are central in modern computing platforms. However, contemporary key-value stores have not been designed for emerging extreme heterogeneous computational systems with future hardware accelerators and storage capabilities, including graphics processor and flash-based memory. This project will devise an adaptive key-value store framework for heterogeneous systems. Our new framework will adaptively harvest the performance potential of future hardware such that applications can cope with fast-growing data sets.Read moreRead less
The Subduction Reference Framework: unravelling the causes of long-term sea-level change. Long-term global sea level fluctuations have been a driving force of biogeography, climate change and organic evolution. We will assimilate images of subducted tectonic plates in the Earth's mantle into geodynamic models to establish a novel Subduction Reference Frame for the past 200 million years. This will form the basis for unravelling the effects of subduction on surface topography and sea-level chang ....The Subduction Reference Framework: unravelling the causes of long-term sea-level change. Long-term global sea level fluctuations have been a driving force of biogeography, climate change and organic evolution. We will assimilate images of subducted tectonic plates in the Earth's mantle into geodynamic models to establish a novel Subduction Reference Frame for the past 200 million years. This will form the basis for unravelling the effects of subduction on surface topography and sea-level change. The project outcomes will include predictive models of sedimentation and erosion in continental interiors, and will transform knowledge about the nature and magnitude of natural planetary change. Read moreRead less