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矩阵QR分解的算法，使用openMP实现，
请在支持并行计算的机器上编译运行-Matrix QR decomposition algorithm, the use of openMP implementation, to support parallel computing in the compile and run on the machine
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这是用并行程序语言MPI做的关于矩阵LU分解的程序，程序中很好的实现了分解过程的并行性。,This is used MPI parallel programming language to do LU decomposition on the matrix of the procedures, procedures to achieve a good decomposition process parallelism.
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矩阵LU分解的C/C++ + MPI实现-Matrix LU decomposition of C/C+++ MPI implementation
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该代码为矩阵qr分解的并行算法，采用的是MPI编程方法-The code for the matrix qr decomposition parallel algorithms, using the MPI programming
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矩阵LU分解的C/C++ + Openmp实现-Matrix LU decomposition of C/C+++ Openmp achieve
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矩阵LU分解的并行实现，文档中给出了不同矩阵规模和处理器数下的实验结果。-Matrix LU decomposition parallel implementation, the document gives a different matrix size and the number of processors under the experimental results.
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CPU和GPU上的利用CUDA实现矩阵的LU、QR和全秩分解、以及一些矩阵变换和运算程序。-On the CPU and GPU matrix by using CUDA, LU, QR, and full rank decomposition, as well as some matrix transformation and operation procedures.
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矩阵分解MPI实现，在KD60的平台下，利用Linux操作系统下进行操作，运行程序。-Matrix decomposition MPI implementation, at KD60 platform, operating under the use of Linux operating system, run the program.
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