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Research Topic : programming
Field of Research : Programming Techniques
Australian State/Territory : ACT
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  • Funded Activity

    Discovery Projects - Grant ID: DP0449670

    Funder
    Australian Research Council
    Funding Amount
    $257,466.00
    Summary
    Towards High-performance and Fault-tolerant Distributed Java Implementations. Java Virtual Machines form an important part of the web and business server market. Distributed Java Virtual Machines have the potential to make a significant contribution to industries that utilize this technology. An attractive platform for this purpose is the cluster, a highly cost-effective and scalable parallel computer model. However, realizing on such a platform a high performance virtual machine implem .... Towards High-performance and Fault-tolerant Distributed Java Implementations. Java Virtual Machines form an important part of the web and business server market. Distributed Java Virtual Machines have the potential to make a significant contribution to industries that utilize this technology. An attractive platform for this purpose is the cluster, a highly cost-effective and scalable parallel computer model. However, realizing on such a platform a high performance virtual machine implementation tolerant to hardware and software faults, and having efficient memory utilization, presents many challenging research issues. This project will address these issues by extending a highly efficient and extensible Java implementation to be aware of its cluster environment.
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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

    Linkage Projects - Grant ID: LP0669762

    Funder
    Australian Research Council
    Funding Amount
    $147,900.00
    Summary
    Accurate Performance Modelling and Prediction of Cluster Computers. The tools, methodologies and data produced by this project will assist Australian academic and industrial organisations in choosing the most cost-effective cluster configurations for their specific high performance computing requirements. It will also help an Australian company to compete with increasing strength against the major multinationals. The project will also draw together and promote future research links between .... Accurate Performance Modelling and Prediction of Cluster Computers. The tools, methodologies and data produced by this project will assist Australian academic and industrial organisations in choosing the most cost-effective cluster configurations for their specific high performance computing requirements. It will also help an Australian company to compete with increasing strength against the major multinationals. The project will also draw together and promote future research links between two major academic institutions in this field. Finally, the project will provide high-level training in research, with industrial grounding, in the high performance computing industry.
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    Funded Activity

    Linkage Projects - Grant ID: LP0991635

    Funder
    Australian Research Council
    Funding Amount
    $200,000.00
    Summary
    Structures and Protocols for Inference. The proposed research is expected to lead to increased adoption and efficiency of use of machine learning technologies. It will develop new and better ways to use existing machine learning software in a manner that allows easier integration into commercial products. It will increase the competitiveness of Australian industry.
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    Funded Activity

    Linkage Projects - Grant ID: LP0669726

    Funder
    Australian Research Council
    Funding Amount
    $250,000.00
    Summary
    Next Generation Grid Enabled Cluster Computers: Performance Optimisation for e-Science. In partnership with a local computer company this project will develop cost effective cluster computing solutions assembled from off-the-shelf parts for $50,000-$200,000. This price range is currently relatively poorly serviced by the multinational computer vendors, who tend to focus on the high density compute systems necessary for very large cluster systems. As a consequence the development of high performa .... Next Generation Grid Enabled Cluster Computers: Performance Optimisation for e-Science. In partnership with a local computer company this project will develop cost effective cluster computing solutions assembled from off-the-shelf parts for $50,000-$200,000. This price range is currently relatively poorly serviced by the multinational computer vendors, who tend to focus on the high density compute systems necessary for very large cluster systems. As a consequence the development of high performance computing in Australia has been somewhat stifled compared to the US or UK, where there exist small niche companies servicing this market sector. This project aims to change this, developing affordable high performance cluster computing systems for the Australian market place and beyond.
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