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      • gpgpu.org
        Folding@Home is a large-scale volunteer distributed computing project started in 2000 by Vijay Pande, Stanford. For over a decade, Professor Pande’s group has increased the computing power of Folding@Home through the development of new software algorithms
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      • gpgpu.org
        GPGPU stands for General-Purpose computation on Graphics Processing Units, also known as GPU Computing. Graphics Processing Units (GPUs) are high-performance many-core processors capable of very high computation and data throughput. Once specially ...
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    日期:2024-04-17
    General-purpose computing on graphics processing units (GPGPU, rarely GPGP or GP²U) is the utilization of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionall...
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    日期:2024-04-18
    GPU-accelerated computing is the use of a graphics processing unit (GPU) together with a CPU to accelerate scientific, engineering, and enterprise applications. Pioneered in 2007 by NVIDIA, GPUs now power energy-efficient datacenters in government labs .....
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    日期:2024-04-15
    Find out all about CUDA and GPU Computing by attending our GPU ... GeForce CUDA-Enabled GeForce Products ......
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    日期:2024-04-13
    GPU 加速運算係指以圖形處理單元(GPU) 搭配CPU,藉以加速科學、工程和企業 應用。NVIDIA 自2007 年起就率先推出GPU 加速運算,現已為世界各地的政府實驗 ......
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    日期:2024-04-13
    免費試用全世界最快速的GPU加速器,採用NVIDIA® Tesla® K80 GPU加速器,你的 模擬跑得比以前都來得快。最新及最快速的Tesla® K80 GPU加速器,簡單註冊, ......
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    日期:2024-04-18
    利用Kepler 架構的Tesla K40 與K20 GPU,讓桌上型電腦也能擁有叢集等級的效能。...
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    日期:2024-04-11
    可以發現,registers 和 local memory 是以 thread 為單位來使用的;而 shared memory 則是存在於 block,讓每一個 thread 共用。上面這三種,都是在 chip 上的記憶體,相較之下,速度會比屬於 DRAM 的記憶體來的快。(注意!...
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    日期:2024-04-18
    CUDA是一種由NVIDIA提出的並由其製造的圖形處理單元(GPUs)實現的一種平行 計算平臺及程式設計模型。CUDA給程式開發人員提供了直接存取CUDA GPUs中的  ......