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parallel_alg_source_code
高教出版社的《并行算法实践》一书的源代码，内容为MPI程序源代码(Higher Education Publishing House s Parallel Algorithm for the practice of the book s source code, content for the MPI source code)
- 2007-12-13 13:53:32下载
- 积分：1
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ppt
CUDA并行计算的讲义，NVDIA培训专用，最全资料。(CUDA parallel)
- 2015-03-24 13:12:33下载
- 积分：1
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convert_to_dat
实现图像文件与.dat文件之间的转换，在DSP程序中输入数据有用。(The realization of image files with the. Dat file conversion between the DSP program useful input data.)
- 2009-05-07 17:26:10下载
- 积分：1
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suanfu.rar
进行相关运算时必须要是用的一些步骤,可以解决相关算法的一些问题(Related operations must be used in a number of steps can be solved a number of issues related to algorithm)
- 2008-05-22 20:12:54下载
- 积分：1
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CUDA_Matrix
CUDA的基礎的矩陣相乘法，包含CPU版本以及GPU版本(CUDA Matrix)
- 2013-09-07 00:56:32下载
- 积分：1
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parallelcomputing
一些关于并行计算的资料，对初学并行计算的人会有些许帮助(Information about parallel computing, parallel computing for beginners who have a little help)
- 2010-06-18 22:24:03下载
- 积分：1
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MergeSort
并行归并排序算法，基于mpi的并行归并排序算法(A parallel merge sort algorithm)
- 2020-11-20 14:59:38下载
- 积分：1
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backstepLBM
格子Boltzmann方法 格子Boltzmann方法是为了保留格子气自动机方法的优点，克服其缺点而发展起来的方法。 特别是1992年，钱跃弘、陈十一等的开创性工作(提出LBGK模型方法)，使该方法广泛地应用到计算流体力学(单相流、多相流、多孔介质流、热对流、磁流体、反应-扩散等)。 (Lattice Boltzmann method of lattice Boltzmann method is to retain the lattice gas automata method has the advantage to overcome its shortcomings and has developed methods. Especially in 1992, Qian Yue-hong, Chen XI, such as the pioneering work (LBGK model proposed method), so that the method widely used in computational fluid dynamics (single-phase flow, multiphase flow, porous media flow, thermal convection, magnetic fluid, the reaction- the proliferation, etc.).)
- 2009-01-09 10:56:05下载
- 积分：1
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AMD-APP-Docs
AMD显卡编程的一些官方参考资料,与nVidia的cuda编程相似(reference materials on AMD APP programming)
- 2012-06-13 13:06:21下载
- 积分：1
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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.)
- 2009-03-17 11:22:47下载
- 积分：1
