Search Results - parallel technical ((optimization algorithm) OR ((evolutionary OR evolution) algorithm))

Search alternatives:

  • Showing 1 - 4 results of 4
Refine Results
  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. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  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. …”
    Get full text
    Get full text
    Final Year Project
    Save to List
    Saved in:
  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. …”
    Get full text
    Get full text
    Book
    Save to List
    Saved in:
  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
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:

Search Tools: