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Current Selection
Scheme : Discovery Projects
Field of Research : Programming Techniques
Australian State/Territory : VIC
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Programming Techniques (4)
Computer Software (3)
Analysis Of Algorithms And Complexity (2)
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Computer Software Not Elsewhere Classified (1)
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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: DP0773741

    Funder
    Australian Research Council
    Funding Amount
    $887,743.00
    Summary
    A Unified Grid Programming Methodology for Global e-Science. This project will contribute to the national benefit in three important ways. First, we will build a set of novel e-Science applications as demonstrator projects in areas of national priority. These will have enormous economic impact in areas ranging from environmental management to health. Second, we will build software infrastructure that will have both commercial and strategic value in its own right. Third, we shall build a critical .... A Unified Grid Programming Methodology for Global e-Science. This project will contribute to the national benefit in three important ways. First, we will build a set of novel e-Science applications as demonstrator projects in areas of national priority. These will have enormous economic impact in areas ranging from environmental management to health. Second, we will build software infrastructure that will have both commercial and strategic value in its own right. Third, we shall build a critical mass of expertise that bridges the physical sciences and computer science. The support provided to this proposal will allow multi-disciplinary teams to address scientific problems of significant scale.
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    Funded Activity

    Discovery Projects - Grant ID: DP0879710

    Funder
    Australian Research Council
    Funding Amount
    $235,000.00
    Summary
    Analysing model transformations for combinatorial problems. Maximising the benefits of limited resources is crucial for our industry, our hospitals, our security and our environment. This is achievable through a technology called combinatorial optimisation, which also supports wiser investment, better engineering, and even accelerated bio-informatics. Applying the technology is highly skilled and effort intensive, so most of its potential benefits are unrealised. This project will break down .... Analysing model transformations for combinatorial problems. Maximising the benefits of limited resources is crucial for our industry, our hospitals, our security and our environment. This is achievable through a technology called combinatorial optimisation, which also supports wiser investment, better engineering, and even accelerated bio-informatics. Applying the technology is highly skilled and effort intensive, so most of its potential benefits are unrealised. This project will break down some of the barriers which make it hard to use. The ultimate goal is to let the user state the problem in simple terms, and the computer work out how best to solve it. Our vision is for groups and organisations large and small to reap the benefits of combinatorial optimisation.
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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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