▍1. CommodityDataTool1
vba多样计算 CALCULATION OF BIODIVERSITIES(vba CALCULATION OF BIODIVERSITIES)
更多选项
▍2. 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)
▍3. mpi_io_test_21.tar
vi du de test mpi, tinh toan song song
▍4. PI
说明： 计算π值 C++ 并行算法 分别使用方法左矩形分解、中矩形分解以及梯形分解(π C++ MPI π C++ MPI π C++ MPI π C++ MPI)
▍5. mpich2-1.4.1p1
mpi的源码，示例程序等，主要用于对mpi并行编程程序的研究。(mpi source code, sample programs, mainly for mpi parallel programming procedures.)
▍6. PSO-Contrain-zym
带约束条件的PSO优化，调试过，能运行，可以参考(PSO with contrains)
▍7. mpiqueen
基于MPI的N皇后问题，且剔除镜像解和旋转解(Of MPI-based N-queens problem and the solution removed the mirror solution and the rotation)
▍8. cuda_lecture_1
清华大学郑仰东CUDA教学课件1，是很好的CUDA入门材料(Tsinghua university ZhengAngDong s CUDA teaching courseware 1,a very good CUDA introductory material)
▍10. canon
并行计算实验，用于矩阵乘法的计算，canon算法，使用mpi方法(algorithm includes openmp，pthread，mpi，mapreduce and so on )
▍11. openmp
并行计算实验，用于求历史最高气温的算法，包含openmp，pthread，mpi，mapreduce等并行计算算法(algorithm includes openmp，pthread，mpi，mapreduce and so on )
▍13. cppfrance_MINI-COMPILATEUR-CPLUSPLUS-ANALYSE-LEXI
compilateur de code source
▍14. Oxford__Parallel-Scientific-Computation
This book is for students and researchers who are interested in scientific computation. The book has a dual purpose: first, it is a textbook for a course on parallel scientific computation. Second, the book is a source of example parallel algorithms and programs for computational physicists and chemists, and for other computational scientists who are eager to get a quick start in parallel computing and want to learn a structured approach to writing parallel programs.
▍15. final
基于C语言的MPICH程序，实现矩阵相乘(C-based MPICH program, to achieve matrix multiplication)
▍16. ga
说明： 主要是自己学习时做的习题，希望对你有帮助(Mainly to their own learning exercises to do, want to help you)
▍17. www
一本将基于近邻传播算法的半监督聚类的算方法书.对于聚类研究的很有帮助(Abstract: A semi-supervised clustering method based on affinity propagation (AP) algorithm is proposed in this paper. AP takes as input measures of similarity between pairs of data points. AP is an efficient and fast clustering algorithm for large dataset compared with the existing clustering algorithms, such as K-center clustering. But for the datasets with complex cluster structures, it cannot produce good clustering results. It can improve the clustering performance of AP by using the priori known labeled data or pairwise constraints to adjust the similarity matrix. Experimental results show that such method indeed reaches its goal for complex datasets, and this method outperforms the comparative methods when there are a large number of pairwise constraints. )
▍18. matrix-multiplication-based-OpenMp-
基于C语言的，在共享内存的并行机上使用OpenMP并行环境实现矩阵乘法(C-based, shared memory parallelism using OpenMP on a parallel machine environment to achieve the matrix multiplication)
▍19. mpi-kmp
详细的kmp并行算法实现源代码，在机群系统上适用，并附加详细的算法说明(Kmp parallel algorithm in detail the source code for the cluster systems, and additional details of the algorithm description)
▍20. Logistic
蜘蛛网迭代法做Logistic模型的轨道(Logistic model of iterative methods to make spider web track)
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