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Field of Research : Computer Software
Australian State/Territory : ACT
Research Topic : recognition memory
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Computer Software (6)
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  • Researchers (9)
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP210101348

    Funder
    Australian Research Council
    Funding Amount
    $300,000.00
    Summary
    Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an .... Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an open-source tool that can capture precision correlations between deep code features and diverse vulnerabilities to pinpoint emerging vulnerabilities without the need for bug specifications. Significant benefits include greatly improved quality, reliability and security for modern software systems.
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    Funded Activity

    Linkage Projects - Grant ID: LP0774896

    Funder
    Australian Research Council
    Funding Amount
    $240,000.00
    Summary
    Programming Paradigms, Tools and Algorithms for Electronic Structure Calculations on Clusters of Non-Uniform Memory Access Parallel Processors. In recent years Australian academia has invested heavily in high performance computing systems. A significant fraction of these resources are devoted to performing computational chemistry studies, such as those used in drug design. This project links Australian researchers with the company responsible for a particularly widely used computational chemistr .... Programming Paradigms, Tools and Algorithms for Electronic Structure Calculations on Clusters of Non-Uniform Memory Access Parallel Processors. In recent years Australian academia has invested heavily in high performance computing systems. A significant fraction of these resources are devoted to performing computational chemistry studies, such as those used in drug design. This project links Australian researchers with the company responsible for a particularly widely used computational chemistry application package, and also with a major international computer company. Our aim is to substantially improve the performance of this code on cluster based compute systems. This, as well as our generic performance evaluation tools, would be of substantial benefit to the Australian research community. The project will forge links with researchers in Singapore, Japan and the USA.
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    Funded Activity

    Linkage Projects - Grant ID: LP0347178

    Funder
    Australian Research Council
    Funding Amount
    $498,000.00
    Summary
    Programming Paradigms, Tools and Algorithms for the Spectral Solution of the Electronic Schroedinger Equation on Non-Uniform Memory Parallel Processors. We propose to develop software tools and methods that are appropriate for current and future generations of large scale shared memory computer systems. Our purpose is to enable a more productive utilization of these architectures for scientific computation. We will focus on algorithms for solving differential equations appropriate to quantum che .... Programming Paradigms, Tools and Algorithms for the Spectral Solution of the Electronic Schroedinger Equation on Non-Uniform Memory Parallel Processors. We propose to develop software tools and methods that are appropriate for current and future generations of large scale shared memory computer systems. Our purpose is to enable a more productive utilization of these architectures for scientific computation. We will focus on algorithms for solving differential equations appropriate to quantum chemistry. In particular an exciting new class of methods whose computational cost scales linearly with system size. Our goal is to develop scalable parallel implementations of these methods. If realized this will revolutionize computation, enabling first principles calculations on truly nanoscale systems, such as enzymes and molecular electronic devices.
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    Funded Activity

    Discovery Projects - Grant ID: DP0666059

    Funder
    Australian Research Council
    Funding Amount
    $575,000.00
    Summary
    Dynamic Cooperative Performance Optimizations. This project seeks to improve the reliability, security, and performance of modern software systems. Security is a problem of such scale that outbreaks of computer viruses etc. headline in major financial newspapers. We approach the problem by addressing the key performance problems that hold back the programming languagues widely used for secure and reliable systems. By improving the reliability, security and performance of computer system .... Dynamic Cooperative Performance Optimizations. This project seeks to improve the reliability, security, and performance of modern software systems. Security is a problem of such scale that outbreaks of computer viruses etc. headline in major financial newspapers. We approach the problem by addressing the key performance problems that hold back the programming languagues widely used for secure and reliable systems. By improving the reliability, security and performance of computer systems, this project will help alleviate the millions of hours and dollars lost to inadvertent errors and malicious software attacks. 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: DP140102185

    Funder
    Australian Research Council
    Funding Amount
    $440,000.00
    Summary
    Finding and exploiting interesting paths in multidimensional information spaces. This project will invent a new approach for searching within a large complex information space, finding interesting paths between points within the space, visualising the results, and supporting rich, human-centric user interaction with queries and results. This project will embody these techniques in a novel, internet-scale framework to support rapid development of large path search and visualisation applications. .... Finding and exploiting interesting paths in multidimensional information spaces. This project will invent a new approach for searching within a large complex information space, finding interesting paths between points within the space, visualising the results, and supporting rich, human-centric user interaction with queries and results. This project will embody these techniques in a novel, internet-scale framework to support rapid development of large path search and visualisation applications. Evaluation will be via development of several exemplar applications. The techniques and framework will be applicable to a broad range of economically important problems in areas as diverse as health, travel, scientific publication search, product marketing and software engineering.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP190103367

    Funder
    Australian Research Council
    Funding Amount
    $440,000.00
    Summary
    Next generation garbage collection: discovery, design, and development. This project aims to improve the performance of programming languages used by millions of Australians every day, such as Java, JavaScript and PHP by developing improved memory-management algorithms. These languages use what is referred to as “garbage collection” to ensure memory is managed without data loss, but do so conservatively and consequently cause performance challenges and energy overheads. This project expects to p .... Next generation garbage collection: discovery, design, and development. This project aims to improve the performance of programming languages used by millions of Australians every day, such as Java, JavaScript and PHP by developing improved memory-management algorithms. These languages use what is referred to as “garbage collection” to ensure memory is managed without data loss, but do so conservatively and consequently cause performance challenges and energy overheads. This project expects to provide these languages with improved memory-management algorithms, and provides researchers and industry with a framework for innovation. This project will enable safe software that is more efficient on today's hardware and able to exploit emerging hardware. This project should lead to better performance and energy savings for server applications, phones, watches, and smart appliances, while ensuring memory safety.
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    Showing 1-6 of 6 Funded Activites

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