Efficient Hardware Support For Disciplined Non Determinism

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DeNovoND: Efficient Hardware Support for Disciplined Non ...

    http://rsim.cs.uiuc.edu/Pubs/13-ASPLOS-denovond.pdf
    perative that we develop techniques to support non-deterministic codes with at least as much performance as conventional systems, without losing the benefits of DeNovo. This paper explores exploiting disciplined programming models to develop simpler and more efficient hardware even for programs that contain non-determinism.

De novo ND: Efficient hardware support for disciplined non ...

    https://experts.illinois.edu/en/publications/de-novo-nd-efficient-hardware-support-for-disciplined-non-determi
    For commercial hardware to exploit the benefits of DeNovo, it is therefore necessary to extend DeNovo to support non-deterministic applications. This paper proposes DeNovoND, a system that supports lockbased, disciplined non-determinism, with the simplicity, performance, and …Cited by: 57

DeNovoND: Efficient Hardware Support for Disciplined Non ...

    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.1211
    For commercial hardware to exploit the benefits of DeNovo, it is therefore necessary to extend DeNovo to support non-deterministic applications. This paper proposes DeNovoND, a system that supports lockbased, disciplined non-determinism, with the simplicity, performance, and …

DeNovoND: Efficient Hardware Support for Disciplined Non ...

    https://core.ac.uk/display/22698260
    For commercial hardware to exploit the benefits of DeNovo, it is therefore necessary to extend DeNovo to support non-deterministic applications. This paper proposes DeNovoND, a system that supports lockbased, disciplined non-determinism, with the simplicity, performance, and …

DeNovoND: Efficient Hardware for Disciplined ...

    https://www.researchgate.net/publication/262364890_DeNovoND_Efficient_Hardware_for_Disciplined_Nondeterminism
    A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text.

Program ASPLOS 2013

    http://asplos13.rice.edu/programme/
    GPUDet: A Deterministic GPU Architecture. Hadi Jooybar (University of British Columbia), Wilson W. L. Fung (University of British Columbia), Mike O’Connor (AMD Research), Joseph Devietti (University of Washington), Tor M. Aamodt (University of British Columbia) DeNovoND: Efficient Hardware Support for Disciplined Non-Determinism.

rsim.cs.uiuc.edu

    http://rsim.cs.uiuc.edu/Talks/13-denovond-asplos.pptx
    rsim.cs.uiuc.edu

Scalable Specialization: News

    http://rsim.cs.illinois.edu/specialization/news.html
    Our paper titled "DeNovoND: Efficient Hardware Support for Disciplined Non-Determinism" is accepted for publication at ASPLOS 2013. Article on Rakesh and Matt's fellowship in the Departmental Click! magazine, September 2012 Sarita selected as Program Chair for ASPLOS 2014!

Chasing Away RAts: Semantics and Evaluation for Relaxed ...

    https://dl.acm.org/doi/10.1145/3140659.3080206
    In Proceedings of the 20th International Conference on Architectural Support for Programming Languages and Operating Systems. 545--559. Google Scholar Digital Library; Hyojin Sung, Rakesh Komuravelli, and Sarita V. Adve. 2013. DeNovoND: Efficient Hardware Support for Disciplined Non-determinism.

Kendo: efficient deterministic multithreading in software ...

    https://www.researchgate.net/publication/310827011_Kendo_efficient_deterministic_multithreading_in_software
    DeNovoND: efficient hardware support for disciplined non-determinism. Article. Apr 2013; ACM SIGPLAN NOTICES; ... a system that supports lock-based, disciplined non-determinism, with the ...



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