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Field of Research : Memory Structures
Field of Research : Computer Hardware
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  • Funded Activity

    Discovery Projects - Grant ID: DP0774615

    Funder
    Australian Research Council
    Funding Amount
    $252,000.00
    Summary
    Algorithms for Memory Management and Memory Design in Embedded Systems. Given the importance of embedded systems technology, Australia must secure a place among significant innovators in the field of embedded systems design. Our research aims at novel algorithmic solutions for customization and resource management for embedded processors. Thus, besides generating intellectual property, our research can be fully commercialized in Australia, because it does not require complex and expensive techn .... Algorithms for Memory Management and Memory Design in Embedded Systems. Given the importance of embedded systems technology, Australia must secure a place among significant innovators in the field of embedded systems design. Our research aims at novel algorithmic solutions for customization and resource management for embedded processors. Thus, besides generating intellectual property, our research can be fully commercialized in Australia, because it does not require complex and expensive technologies and other resources available only to the world's largest corporations. In addition, during our research a number of undergraduate and graduate students will get a chance to get training in the cutting edge embedded systems design, optimization and testing.
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    Funded Activity

    Linkage Projects - Grant ID: LP0455318

    Funder
    Australian Research Council
    Funding Amount
    $665,630.00
    Summary
    Towards a high density silicon phase change memory device. This project builds upon our exciting recent findings that amorphous silicon can be transformed to a conducting crystalline phase following small-scale indentation. Furthermore the process is reversible as re-indentation can induce a transformation back to insulating amorphous silicon. This process appears to occur in extremely small (nanoscale) volumes of silicon. We plan to explore the viability of exploiting this behaviour to develo .... Towards a high density silicon phase change memory device. This project builds upon our exciting recent findings that amorphous silicon can be transformed to a conducting crystalline phase following small-scale indentation. Furthermore the process is reversible as re-indentation can induce a transformation back to insulating amorphous silicon. This process appears to occur in extremely small (nanoscale) volumes of silicon. We plan to explore the viability of exploiting this behaviour to develop an entirely new information storage system: a high-density silicon phase change memory. This project aims to study small-scale transformation behaviour in silicon and to design demonstrator memory devices based on both micro-electromechanical systems and solid state technologies.
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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE170100106

    Funder
    Australian Research Council
    Funding Amount
    $360,000.00
    Summary
    Measuring interference from prior memories using experience sampling. The project aims to better understand the causes of forgetting in recognition memory. This project will measure participants' experiences using smartphone technology for four weeks before a recognition memory experiment. Similarities between the images in the experiment and images in prior experience can be used to fully specify all interference components within a computational model of recognition memory, leading to a comple .... Measuring interference from prior memories using experience sampling. The project aims to better understand the causes of forgetting in recognition memory. This project will measure participants' experiences using smartphone technology for four weeks before a recognition memory experiment. Similarities between the images in the experiment and images in prior experience can be used to fully specify all interference components within a computational model of recognition memory, leading to a complete model of recognition memory. Better understanding the causes of forgetting in recognition memory could show how interference contributes to memory impairments in ageing, and ultimately Alzheimer’s and other clinical disorders.
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