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Research Topic : Architecture
Socio-Economic Objective : Expanding Knowledge in Technology
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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: LP130100880

    Funder
    Australian Research Council
    Funding Amount
    $328,218.00
    Summary
    Evaluating 21st century learning environments. As yet there is little rigorous evidence attesting to the efficacy of which learning environments are the most appropriate for 21st century learning in a digital and knowledge age. This project will evaluate technology-enhanced learning environments, which will determine how effective they are in the senior secondary and higher education sectors.
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    Funded Activity

    Discovery Projects - Grant ID: DP120104158

    Funder
    Australian Research Council
    Funding Amount
    $280,000.00
    Summary
    Low power memory for modern embedded systems. This project will create methods and circuits to reduce power consumption of embedded systems through memory optimisations. Power efficient embedded systems, will enable smaller, more portable systems and reduce battery usage by 2.5 per cent (worth over US$1.8 billion dollars) and lower toxic waste levels (e.g., heavy metals such as mercury, cadmium etc.).
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    Showing 1-3 of 3 Funded Activites

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