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Australian State/Territory : ACT
Field of Research : Software Engineering
Research Topic : Multimedia Programming
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  • Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE170101081

    Funder
    Australian Research Council
    Funding Amount
    $360,000.00
    Summary
    Adaptive value-flow analysis to improve code reliability and security. This project aims to develop client-driven adaptive value-flow analysis to detect software bugs in system software written in the C/C++ programme language. Static analysis tools for automated code inspections can benefit software developers, but are imprecise, inefficient and not user-friendly for analysing real-world industrial-sized software. The project will investigate static, dynamic and user-guided value-flow analysis t .... Adaptive value-flow analysis to improve code reliability and security. This project aims to develop client-driven adaptive value-flow analysis to detect software bugs in system software written in the C/C++ programme language. Static analysis tools for automated code inspections can benefit software developers, but are imprecise, inefficient and not user-friendly for analysing real-world industrial-sized software. The project will investigate static, dynamic and user-guided value-flow analysis to efficiently and precisely analyse large-scale programs according to clients’ needs, thereby allowing compilers to generate safe, reliable and secure code. This project is expected to advance value-flow analysis for industrial-sized software, improve software reliability and security, and benefit Australian software systems and industries.
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    Funded Activity

    Discovery Projects - Grant ID: DP0452011

    Funder
    Australian Research Council
    Funding Amount
    $195,000.00
    Summary
    Improving Modern Programming Language Performance: A Memory-Conscious Approach. The performance of modern programming languages such as Java and C# lags that of imperative languages such as C and Fortran. A significant source of the performance gap is poor memory behavior, which future computer architectures will exacerbate. This project addresses the problem of poor memory behavior in modern programming languages such as Java and C# through an integrated attack that incorporates new garbage c .... Improving Modern Programming Language Performance: A Memory-Conscious Approach. The performance of modern programming languages such as Java and C# lags that of imperative languages such as C and Fortran. A significant source of the performance gap is poor memory behavior, which future computer architectures will exacerbate. This project addresses the problem of poor memory behavior in modern programming languages such as Java and C# through an integrated attack that incorporates new garbage collection algorithms, run-time techniques that optimize running programs, and new compiler analyses with both static and dynamic optimizations. The project will give Australia an international presence in a research area of great academic and commercial importance.
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    Funded Activity

    Discovery Projects - Grant ID: DP140103878

    Funder
    Australian Research Council
    Funding Amount
    $300,000.00
    Summary
    Micro Virtual Machines: Abstraction, contained. This project will address a systemic source of inefficiency in widely used software which leads to many programs running as much as ten times slower and using considerably more energy than necessary, shortening battery life on mobile phones and increasing costs for large server farms. This inefficiency is endemic because it is due to the underlying languages rather than the particular software. This project will address this problem by developing a .... Micro Virtual Machines: Abstraction, contained. This project will address a systemic source of inefficiency in widely used software which leads to many programs running as much as ten times slower and using considerably more energy than necessary, shortening battery life on mobile phones and increasing costs for large server farms. This inefficiency is endemic because it is due to the underlying languages rather than the particular software. This project will address this problem by developing a high efficiency substrate, called a micro virtual machine, on which languages may be built.
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    Funded Activity

    Linkage Projects - Grant ID: LP100100588

    Funder
    Australian Research Council
    Funding Amount
    $805,000.00
    Summary
    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.
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    Showing 1-4 of 4 Funded Activites

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