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NVIDIA_CUDA_1

于 2020-12-11 发布文件大小:6953KB

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下载积分: 1 下载次数: 26

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cuda资料，对于并行编程很有帮助！该资料描述了cuda的基本信息，以及重要的步骤，让您逐渐上手，轻松掌握cuda并行编程。(cuda information useful for parallel programming! The information describes the cuda s basic information, as well as an important step, so that gradually you get started, easy to master parallel programming cuda.)

文件列表：

NVIDIA CUDA 大量平行處理器程式設計訓練課程
..........................................\index.txt
..........................................\NCHC00210101F.ppt
..........................................\NCHC00210201F.ppt
..........................................\NCHC00210301F.ppt
..........................................\NCHC00210401F.ppt
..........................................\NCHC00210501F.ppt
..........................................\NCHC00210601F.ppt
..........................................\NCHC00210701F.ppt
..........................................\NCHC00210801F.ppt
..........................................\NCHC00210901F.ppt

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Mars_v2
GPU实现的MapReduce framework,对于学习并行编程和cuda平台的编程方面有着极好的参考价值，里面附带论文。用户要求有NViDIA显卡，并且安装cuda编程环境。(We design and implement Mars, a MapReduce framework, on graphics processors (GPUs). MapReduce is a distributed programming framework originally proposed by Google for the ease of development of web search applications on a large number of commodity CPUs. Compared with CPUs, GPUs have an order of magnitude higher computation power and memory bandwidth, but are harder to program since their architectures are designed as a special-purpose co-processor and their programming interfaces are typically for graphics applications.)

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compilateur de code source

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Hight Performance Computing Demos

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CUDA的基礎的矩陣相乘法，包含CPU版本以及GPU版本(CUDA Matrix)

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并行程序,并行离散化算法实现，粗糙集数据挖掘程序(Parallel programming, parallel discrete algorithms, rough set data mining program)

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mandelbrot set sequential code for mpi

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采用改进的三维Hasin准则，考虑基体和纤维损伤，以及复合材料分层损伤( U91C7 u7539 u659 u8F09 u7F4 u7R4 u7354 u03 U6599 u5206 u5C42 u635F u4F24)

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积分：1

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