Source code of the IPDPS '21 paper: "TileSpMV: A Tiled Algorithm for Sparse Matrix-Vector Multiplication on GPUs" by Yuyao Niu, Zhengyang Lu, Meichen Dong, Zhou Jin, Weifeng Liu, and Guangming Tan. - SuperScientificSoftwareLaboratory/TileSpMV
When the matrix is sparse this method works fine because sparse matrices take less time to compute. It is not practically possible as it is computation and theoretical approach only. It takes more space for storing sub matrices. There is less chance of accuracy. Chat on Discord ...
而核函数值的计算最终都需要去做内积运算,这就意味着原始空间的维度很高会增加内积运算的时间;对于dense matrix我就直接用numpy的dot了,而sparse matrix采用的是CSR表示法,求它的内积我实验过的方法有三种,第一种不需要额外空间,但时间复杂度为O(nlgn),第二种需要一个hash表(用dictionary代替了),时间复杂度为线性...
C Paige,Sanders M.A.摘要: An iterative method is given for solving Ax ~ffi b and minU Ax- b 112, where the matrix A is large and sparse. The method is based on the bidiagonalization procedure of Golub and Kahan. It is analytically equivalent to the standard method of conjugate ...
turning portions of the sparse matrix into dense blocks and invoking high-performance BLAS/lapack libraries. It is designed with optimization libraries for Levenberg-Marquardt in mind, and aims at reducing part of the complexity offering the best tool for the job. Compared to the library currently...
FE-1 is a simple algorithm based on basic pixel statistics (presented in “Detecting ants using motion-based foreground detection algorithms” section), and 3-term decomposition38 (dented as FE-2) is an algorithm based on low-rank matrix decomposition for foreground detection in videos. We ...
,N−1}where τ¯ is given by(10)(11)and τj,j+1∈ℝnuno,(j,j+1)×nuN is a matrix that is composed of the auxiliary variables tl∈ℝnu. The master problem to update the auxiliary variables tl is then given by,(12)mintl∑j=1Sϕ(tl,pj) Proposition 2 The solution to ...
Efficient solvers for sparse subspace clustering. Preprint at http://arxiv.org/abs/1804.06291 (2018). Manning, C. D., Raghavan, P. & Schütze, H. Introduction to Information Retrieval (Cambridge University Press, 2008). Stone, J. V. Artificial Intelligence Engines: A Tutorial Introduction to...
matrix. Furthermore, we apply the proposed algorithm to sparse systems arising from discretizations of the one-dimensional heat equation and the two-dimensional Poisson’s equation. Numerical simulations illustrate the capability and effectiveness of the proposed algorithm comparing to well-known methods ...
Other hybrid models merged filter and embedded algorithms. For example, a two-step sparselogistic regression modelwas developed (Algamal & Lee, 2019), which comprises the sure independence screening (SIS) algorithm and the adaptive least absolute shrinkage and selection algorithm (LASSO). First, SIS...