Sparse Matrix Libraries in C ++ for High Performance 1 Introduction 2 Sparse Matrix typesDongarra, JackLumsdaine, AndrewNiu, XinhuiPozo, RoldanRemington, Karin
1. 有些学校以 Turbo C 为环境讲 C 语言,只是 Turbo C 的环境实在太老了,复制粘贴都很不方便。 2. 有些学校直接拿 VC 来讲 C 语言,因为 VC 的编辑和调试环境都很优秀,并且 VC 有适合教学的免费版本。可惜在 VC 下只能做一些文字性的练习题,想画条直线画个圆都很难,还要注册窗口类、建消息循环等等,...
// Sparse_Matrix Create(max_row, max_col) ::= #define Max_TERMS 101 /* maximum number of terms +1*/ typedef struct { int col; int row; int value; } term; term a[MAX_TERMS]; 1. 2. 3. 4. 5. 6. 7. 8. 9. 0x03 矩阵的转置 - Transposing A Matrix <一个简单的算法> 对于...
Convert the matrix to sparse storage. S = sparse(A); whosS Name Size Bytes Class Attributes S 10000x10000 240008 double sparse In sparse form, the same matrix uses roughly 0.25-megabytes of memory. In this case, you can avoid full storage completely by using thespeyefunction, which creates...
C = sparse(i,j,s) C = 5×5 sparse double matrix (13 nonzeros) (1,1) 4 (5,1) 1 (2,2) 4 (5,2) 1 (3,3) 4 (5,3) 1 (4,4) 4 (5,4) 1 (1,5) -1 (2,5) -1 (3,5) -1 (4,5) -1 (5,5) 4 The ordering of the values in the output reflects the underlyi...
1publicclassSolution {2publicint[,] Multiply(int[,] A,int[,] B) {3introws = A.GetLength(0), cols = A.GetLength(1), colsB = B.GetLength(1);45varresult =newint[rows, colsB];67//since it's a sparse matrix, we only want to know rows/cols with a non-zero element8varnonZer...
If unsuccessful in a MEX file, the MEX file terminates and returns control to the MATLAB® prompt. The function is unsuccessful when there is not enough free heap space to create the mxArray. Description Use mxCreateSparseLogicalMatrix to create an m-by-n mxArray of mxLogical elements. ...
Matrix-Vector multiplication Number of columns in the matrix has to be the same as the size of the vector, otherwise InvalidDimensionsException is thrown. SparseMatrix::SparseMatrix<int> mat(4, 5); std::vector<int> vec(5, 2); std::vector<int> result; result = mat.multiply(vec); // ...
OSKI Autotuning Sparse Matrix KernelsDemmel, JimVuduc, Rich
DBCSR is a library designed to efficiently perform sparse matrix-matrix multiplication, among other operations. It is MPI and OpenMP parallel and can exploit Nvidia and AMD GPUs via CUDA and HIP. How to Install Follow theinstallation guide. ...