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sanxiang
- 使用本软件，可计算出中小型工程三相短路电流。 若已确认但尚未进行下步计算之前，发现输入的支路类型或数据有误，可单击窗体另行输入。 计算三相短路电流时，请确认短路点编号及对应的网络平均电压。 双击窗体，可以打印出窗体上的图象。但，应将打印机预设为A4纸型，横向打印。 文件打印至硬盘，可用Word软件处理后存档及打印。 本软件不采用通常的网络变换。而先建立电导增广矩阵，解此矩阵即可求出各节点电位以及各支路电压降、电流。之后，方按不同电源类型，分别采用恒定电压或机组运转曲
1Dgrappa
- 并行磁共振成像中基础算法GRAPPA的应用实例，一维成像，8线圈采集的数据-1D GRAPPA reconstruction from an 8-channel head array coil using least-square matrix inversion. The data were simulated from the combination of B1 fields by Biot-Savart s law and anatomical features from MPRAGE s
1dsense
- 并行磁共振成像的经典算法SENSE在一维成像中的应用-1D SENSE reconstruction from an 8-channel head array coil using least-square matrix inversion. The data were simulated from the combination of B1 fields by Biot-Savart s law and anatomical features from MPRAGE sequences
SPARSE_CODE_DEMO
- C++实现的稀疏矩阵类,可实现稀疏矩阵的存储计算等功能-Now, instead of using 2D, we will use doubly-linked lists to present sparse matrices. There are various methods of organizing doubly-linked-lists. We not only store elements of sparse matrices but also implement operations
cuda_matmult_opt
- CUDA matrix multiplication 3 different optimization schemes are included (loop unrolling, data prefetching, thread granularity)
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 a
mul
- 基于CUDA C的程序，可以对任意矩阵进行矩阵乘法，目前仅用全局存储器进行数据计算，相比于传统CPU程序，计算效率明显提升。程序结构简洁，内有注释，方便学习，如有不足之处，方便批评指正。-Based on CUDA C programs can be arbitrary matrix matrix multiplication, the current global memory for data only, compared to traditional CPU program, comput
test3
- 基于MPI的卷积计算,数据矩阵：256*256 –原始矩阵设置：随机50个点设置为255，其余为0 卷积核：5*5 –明确注明所设计的卷积核 迭代次数：100 –每5次迭代保存一次数据矩阵 –通过20个结果矩阵，生成动画-MPI-based convolution calculation, data matrix: 256* 256- the original matrix setting: Random 50 points set to
MATLAB-CUDA
- MATLAB平台下的CUDA加速库。运用该库可避免在MEX函数中来回拷贝GPU数据，提高MATLAB运行速率。附件给出一个简单的矩阵乘法的示例程序，该程序在GTX TITAN下运行效率比intel i7 3930k提高了10倍。-CUDA MATLAB platform acceleration libraries. Avoid the use of the library can be copied back and forth GPU MEX function data, improve M
zhuanzhi-MPI
- 输入文件数据，求取矩阵的转置，基于MPI并行，运行环境vc6.0-Enter the file data, calculate the matrix transpose, MPI-based parallel operating environment vc6.0
CUDA SPMV
- 稀疏矩阵向量乘法（Sparse Matrix-Vector Multiplication, SpMV）在许多科学计算程序中都有广泛的应用。数据矩阵A 是稀疏的，输入向量x 和输出向量y是稠密的。 y = Ax(Sparse Matrix-Vector Multiplication (SpMV) is widely used in many scientific computing programs. The data matrix A is sparse, the input vector x
Jacobi
- 线性方程组Jacobi迭代的并行计算程序，数据文件是A*x=b,A是4阶方阵的算例。(A*x=b, Jacobi, In Data.txt the Matrix is 4*4)
pradiso
- 利用Fortran中自带的Pardiso库函数解决稀疏矩阵，其利用ＣＳＲ格式储存数据（附带例子）(The Pardiso library function in Fortran is used to solve the sparse matrix, which stores data in CSR format (with examples))