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Research Topic : programming
Field of Research : Distributed and Grid Systems
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  • Funded Activity

    Linkage Projects - Grant ID: LP120200784

    Funder
    Australian Research Council
    Funding Amount
    $450,000.00
    Summary
    Software debuggers for next generation heterogeneous supercomputers. Supercomputing underpins a wide range of areas of importance to the Australian economy; mining, agriculture, engineering and medical research to name a few. It is of critical importance that software solutions in these areas behave correctly. This project will develop software tools and techniques to help locate errors in such applications.
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    Funded Activity

    Discovery Projects - Grant ID: DP180104030

    Funder
    Australian Research Council
    Funding Amount
    $367,666.00
    Summary
    Taipan: a block-chain with democratic consensus and validated contracts. Blockchains keep records by mass collaboration using peer-to-peer and cryptographical algorithms. Programmable blockchain technology can disrupt the finance industry, governance, and legal services by reducing the role for intermediaries such as banks and government authorities. This project aims to propose a new block-chain for “Trust Among Individual ParticipANts” (TAIPAN). The main feature of TAIPAN’s programmable block .... Taipan: a block-chain with democratic consensus and validated contracts. Blockchains keep records by mass collaboration using peer-to-peer and cryptographical algorithms. Programmable blockchain technology can disrupt the finance industry, governance, and legal services by reducing the role for intermediaries such as banks and government authorities. This project aims to propose a new block-chain for “Trust Among Individual ParticipANts” (TAIPAN). The main feature of TAIPAN’s programmable block-chain is the integrity and security of individual ownership records that current block-chains lack. This project will aim to overcome two major threats in current programmable block-chains, double-spending among participants, and security vulnerabilities in smart contracts. TAIPAN will provide a democratic and leaderless consensus algorithm that will avoid double-spending, and a new bug-checking framework for smart contracts that finds anomalies before smart contracts are admitted to the block-chain.
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    Funded Activity

    Discovery Projects - Grant ID: DP120102653

    Funder
    Australian Research Council
    Funding Amount
    $320,000.00
    Summary
    Model-driven engineering of scientific software for graphical processing units. Novel visual models, model-driven engineering techniques and software engineering tools will be invented to synthesize and optimise graphical processing unit software for scientific applications. These will be validated using large data-centric applications from molecular simulation and astrophysics domains.
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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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