Sparse-matrix-multiplication晴初**nt 在2024-02-15 15:27:48 访问982.1 KB 稀疏矩阵乘法是一种优化算法,用于处理具有大量零元素的稀疏矩阵。传统的矩阵乘法算法在处理稀疏矩阵时效率较低,因为它需要进行大量的乘法和加法运算。 改进的稀疏矩阵乘法算法采用了压缩存储的方式,将稀疏矩阵转化为三元组表示。对于每个非...
1993. Sparse matrix multiplication package (SMMP). Adv. in Comput. Math. 1, 1, 127-137.R. E. Bank, C. C. Douglas, SMMP: Sparse matrix multiplication package, Advances in Computational Mathematics 1 (1993) 127-137.Randolph E. Bank, Craig C. Douglas, Sparse matrix multiplication package ...
Sparse matrix multiplication is a common operation in linear algebra and an important element of other algorithms. Sparse matrix is a matrix populated primarily with zeros. This thesis presents two algorithms for sparse matrix multiplication, row-column algorithm and row-row (also known as row-wise...
publicclassSolution {publicint[][] multiply(int[][] A,int[][] B) {introw_A =A.length;intcol_A = A[0].length;introw_B =B.length;intcol_B = B[0].length;int[][] result =newint[row_A][col_B];for(intr = 0; r < row_A; r++) { List<Node> list =newArrayList<Node>(...
311. Sparse Matrix Multiplication(有锁)【分治|循环】 2017/3/26 16:09:31 问题:求解稀疏矩阵乘法 版本1:朴素算法 θ(n3) 采用常规矩阵乘法公式 1 2 3 4 5 6 7 8 9 10 11 12 13 publicstaticint[][] SparseMatrixMultiplication(int[][] A ,int[][] B ){...
Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining Scaling up the sparse matrix-vector multiplication kernel on modern Graphics Processing Units (GPU) has been at the heart of numerous studies in both acade... X Yang,S Parthasarathy,P Sadayappan - 《Proceedings of ...
因为给定的matrix是稀疏矩阵,所以我们要做一些对于0的预处理。 由于C[i][k] = A[i][x] * B[x][k], 0 <= x <= n 我们可以用一个HashMap,将B中每行不为0的元素保存下来。 然后遍历A,将每个不为0的元素累加到C中去。 classSolution{publicint[][]multiply(int[][]A,int[][]B){if(A==nul...
311. Sparse Matrix Multiplication,classSolution{publicint[][]multiply(int[][]A,int[][]B){intm=A.length;intn=A[0].length;intnB=B[0].length;int[][]C=newint[m][nB];for(...
LeetCode "Sparse Matrix Multiplication" Taking advantage of 'sparse' classSolution {public: vector<vector<int>> multiply(vector<vector<int>>& A, vector<vector<int>>&B) { vector<vector<int>>ret;intha =A.size();if(!ha)returnret;intwa = A[0].size();if(!wa)returnret;inthb =wa;int...
Efficient parallel multiplication of sparse matrices is key to enabling many large-scale calculations. This article presents the DBCSR (Distributed Block Compressed Sparse Row) library for scalable sparse matrix–matrix multiplication and its use in the CP2K program for linear-scaling quantum-chemical ca...