Search Results - parallel technical ((prediction algorithm) OR (optimization algorithm))*

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  1. 1
    Tranformation of CPU-based Applications To Leverage on Graphics Processors using CUDA

    Tranformation of CPU-based Applications To Leverage on Graphics Processors using CUDA by Hussin, Fawnizu Azmadi, Mohd Nazlee, Anas, Zain Ali, Noohul Basheer

    Published 2010
    “…Scientific computation requires a great amount of computing power especially in floating-point operation but a high-end multi-cores processor is currently limited in terms of floating point operation performance and parallelization. Recent technological advancement has made parallel computing technically and financially feasible using Compute Unified Device Architecture (CUDA) developed by NVIDIA. …”
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  2. 2
    Super Calculator using Compute Unified Device Architecture (CUDA)

    Super Calculator using Compute Unified Device Architecture (CUDA) by Nazlee, Anas Mohd

    Published 2009
    “…Scientific computation requires a great amount of computing power especially in floating-point operation but a high-end multi-cores processor is currently limited in terms of floating point operation performance and parallelization. Recent technological advancement has made parallel computing technically and financially feasible using Compute Unified Device Architecture (CUDA) developed by NVIDIA. …”
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    Final Year Project
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  3. 3
    CPU-based Application Transformation to CUDA: Transformation of CPU-based Applications To Leverage on Graphics Processors using CUDA

    CPU-based Application Transformation to CUDA: Transformation of CPU-based Applications To Leverage on Graphics Processors using CUDA by Mohd Nazlee, Anas, Hussin, Fawnizu Azmadi

    Published 2012
    “…Scientific computation requires a great amount of computing power especially in floating-point operation but a high-end multi-cores processor is currently limited in terms of floating point operation performance and parallelization. Recent technological advancement has made parallel computing technically and financially feasible using Compute Unified Device Architecture (CUDA) developed by NVIDIA. …”
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    Book
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  4. 4
    Critical insight for MAPReduce optimization in Hadoop

    Critical insight for MAPReduce optimization in Hadoop by Khan, Burhan ul Islam, Olanrewaju, Rashidah Funke, Altaf, Hunain, Shah, Asadullah

    Published 2014
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  5. 5
    A low-complexity, hardware architecture for a parametric, real-time LSF speech decoder

    A low-complexity, hardware architecture for a parametric, real-time LSF speech decoder by Mabrouk, Ahmed Hassan, Hassim, Norhidayah

    Published 2011
    “…Synthesis results are reported using various degrees of parallelism to explore the trade-off between gate count and time delay. …”
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    Proceeding Paper
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