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Research Topic : concurrent
Scheme : Discovery Projects
Field of Research : Computer Software
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  • Funded Activity

    Discovery Projects - Grant ID: DP130101970

    Funder
    Australian Research Council
    Funding Amount
    $360,000.00
    Summary
    Finding concurrency bugs in multithreaded software. This project aims to develop sound and practical techniques for detecting and eliminating concurrency bugs for object-oriented languages like Java, enabled by a new model for concurrent effects. The expected outcome is a novel technology that will significantly improve the safety, productivity and efficiency of large-scale concurrent programming.
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    Funded Activity

    Discovery Projects - Grant ID: DP160104801

    Funder
    Australian Research Council
    Funding Amount
    $385,000.00
    Summary
    Data Structures for Multi-Core. The project intends to improve data structures to reduce the bottleneck effect caused by multiple processor cores. The hardware used for a typical server platform has increasing numbers of processor cores. This growing number of cores creates a bottleneck effect when accessing the data that are structured in the shared memory of these servers. These contended data structures limit the server performance and new algorithms are necessary. The project proposes to rel .... Data Structures for Multi-Core. The project intends to improve data structures to reduce the bottleneck effect caused by multiple processor cores. The hardware used for a typical server platform has increasing numbers of processor cores. This growing number of cores creates a bottleneck effect when accessing the data that are structured in the shared memory of these servers. These contended data structures limit the server performance and new algorithms are necessary. The project proposes to relax traditional consistency criteria to provide high concurrency and to leverage optimistic executions that proceed concurrently but may roll back depending on the conflicts with other concurrent executions they encounter. The concurrent data structures would allow application performance to scale with higher numbers of hardware cores.
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    Funded Activity

    Discovery Projects - Grant ID: DP130102901

    Funder
    Australian Research Council
    Funding Amount
    $305,000.00
    Summary
    Understanding concurrent programs using rely-guarantee thinking. Multi-core processors are standard in computers and devices (e.g. smart phones) but much of the software available for these machines is either unreliable or does not exploit the available hardware parallelism. This project will devise techniques for designing concurrent software that exploits these platforms while delivering dependable operation.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP190102142

    Funder
    Australian Research Council
    Funding Amount
    $460,000.00
    Summary
    Design and verification of correct, efficient and secure concurrent systems. This project aims to provide methods for the design and verification of correct, secure and efficient concurrent software that are scalable and mechanised. Computers with multiple processors are now the norm and are used in a wide range of safety, security and mission critical software applications such as transport, health and infrastructure. These multi-core architectures have the potential to lead to important effici .... Design and verification of correct, efficient and secure concurrent systems. This project aims to provide methods for the design and verification of correct, secure and efficient concurrent software that are scalable and mechanised. Computers with multiple processors are now the norm and are used in a wide range of safety, security and mission critical software applications such as transport, health and infrastructure. These multi-core architectures have the potential to lead to important efficiency gains, but can introduce complex and error-prone behaviours that cannot be managed using traditional software development approaches. This project will produce better, scalable and mechanised methods for the design and verification of such software which is expected to reduce the prevalence of failures in efficient, modern software.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP190102167

    Funder
    Australian Research Council
    Funding Amount
    $480,000.00
    Summary
    Verified concurrent memory management on modern processors. This project aims to formally verify automatic memory managers in the presence of concurrency and the weakly ordered memory of modern processors. A new framework for verifying memory managers, reusable for a wide range of managed programming languages, target hardware, policies, and algorithms will be developed. Expected technical outcomes include improved techniques to ensure trustworthiness of the foundations on which critical softwar .... Verified concurrent memory management on modern processors. This project aims to formally verify automatic memory managers in the presence of concurrency and the weakly ordered memory of modern processors. A new framework for verifying memory managers, reusable for a wide range of managed programming languages, target hardware, policies, and algorithms will be developed. Expected technical outcomes include improved techniques to ensure trustworthiness of the foundations on which critical software infrastructures are built. This will significantly enhance the security of public and private cyber assets, and deliver applications that are more robust and trustworthy, across a range of critical infrastructure such as transportation, communication, energy and defence.
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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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    Showing 1-6 of 6 Funded Activites

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