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Field of Research : Analysis Of Algorithms And Complexity
Research Topic : Multimedia Programming
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Analysis Of Algorithms And Complexity (4)
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  • Funded Activity

    Discovery Projects - Grant ID: DP0209846

    Funder
    Australian Research Council
    Funding Amount
    $129,024.00
    Summary
    Experimental runtime complexity analysis of logic programs. While declarative languages improve programmer productivity, they make it harder for programmers to understand the performance of their code. We will build a tool that will use profiling data and program analysis to allow programmers to predict the running time of their programs.
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    Funded Activity

    Discovery Projects - Grant ID: DP0560190

    Funder
    Australian Research Council
    Funding Amount
    $150,000.00
    Summary
    Compilation Techniques for Embedded Systems. Highly optimising compiler tools are becoming an important part of the software development process for embedded systems. This project will provide Australia with core technology in the area of tools for embedded systems. It will allow safer embedded systems in mission-critical applications. In addition, the Australian Industry will benefit from a substantially growing embedded systems market where tools are a pre-requisite for a cost-aware and safe s .... Compilation Techniques for Embedded Systems. Highly optimising compiler tools are becoming an important part of the software development process for embedded systems. This project will provide Australia with core technology in the area of tools for embedded systems. It will allow safer embedded systems in mission-critical applications. In addition, the Australian Industry will benefit from a substantially growing embedded systems market where tools are a pre-requisite for a cost-aware and safe software development. The industry interested in embedded system tools are: Telecom/Datacom, Consumer Electronics, Industrial Automation, Retail Automation, Office Automation, Military/Aerospace, Automotive, Information Automation, Medical Devices.
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    Funded Activity

    Discovery Projects - Grant ID: DP0451936

    Funder
    Australian Research Council
    Funding Amount
    $150,000.00
    Summary
    Adapting the Bulk Synchronous Parallel processing model to Peer-to-Peer Networked Computing. Advances in distributed computing have shown that data parallel and parametric applications domains are amenable to wide area distribution. The project will advance the Bulk Synchronous Parallel processing model to describe innovative applications from the loosely synchronous domain, e.g. fluid dynamics, strategy algorithms and N-body problems are challenges that have significant scientific and industria .... Adapting the Bulk Synchronous Parallel processing model to Peer-to-Peer Networked Computing. Advances in distributed computing have shown that data parallel and parametric applications domains are amenable to wide area distribution. The project will advance the Bulk Synchronous Parallel processing model to describe innovative applications from the loosely synchronous domain, e.g. fluid dynamics, strategy algorithms and N-body problems are challenges that have significant scientific and industrial value. The project specializes the exciting peer-to-peer paradigm, a frontier of inter-networking technology. By using the latest techniques and taking advantage of the technology implosion caused by low cost parallel infrastructure, the project outcomes will give Australia a strong position in the future of parallel technology.
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    Funded Activity

    Discovery Projects - Grant ID: DP0664674

    Funder
    Australian Research Council
    Funding Amount
    $125,027.00
    Summary
    Evolutionary multi-objective algorithms for Global Grids. This research investigates alternative software technologies for Grid-based evolutionary multi-objective decision algorithms. By employing the latest adaptive techniques and taking advantage of the low cost Grid infrastructure, new parallel evolutionary systems will be developed that can rapidly supply robust solutions to complex problems. This project will further develop an understanding of scaling issues in parallel evolutionary syste .... Evolutionary multi-objective algorithms for Global Grids. This research investigates alternative software technologies for Grid-based evolutionary multi-objective decision algorithms. By employing the latest adaptive techniques and taking advantage of the low cost Grid infrastructure, new parallel evolutionary systems will be developed that can rapidly supply robust solutions to complex problems. This project will further develop an understanding of scaling issues in parallel evolutionary systems and pave the way for even more widespread application of evolutionary techniques for large scale, data-intensive applications in science and industry.
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