数据链接：
官方服务：
资源简介：
qrm_starpu 1D execution of e18.mtx
应用场景：
创建时间：
2020-01-21
相关数据集
NEST
NEST是一个新的稀疏矩阵数据集。其目的是定义一套在现代科学应用中出现的、相关的实际稀疏矩阵集，以改进稀疏数值方法。NEST可以看作是Sparse Matrix Market数据集的延续，并包含了一些来自它的精选稀疏矩阵作为传统参考。矩阵以Matrix Market COO格式和`scipy.sparse.npz`格式存储。
Hugging Face2025-05-05 更新1200
Optimizing Sparse Matrix-Matrix Multiplication for the GPU supplementary data
This contains the matrices for the SpGEMM tests presented in "Optimizing Sparse Matrix-Matrix Multiplication for the GPU", by Steven Dalton, Nathan Bell, and Luke N. Olson. Each A matrix from Table
NIAID Data Ecosystem90
The Graphical Horseshoe Estimator for Inverse Covariance Matrices
We develop a new estimator of the inverse covariance matrix for high-dimensional multivariate normal data using the horseshoe prior. The proposed graphical horseshoe estimator has attractive proper
DataCite Commons2020-08-27 更新70
Bayesian Regularization for Graphical Models With Unequal Shrinkage
We consider a Bayesian framework for estimating a high-dimensional sparse precision matrix, in which adaptive shrinkage and sparsity are induced by a mixture of Laplace priors. Besides discussing our
DataCite Commons2021-09-29 更新140
An Experimental Analysis of Three Pseudo-peripheral Vertex Finders in conjunction with the Reverse Cuthill-McKee Method for Bandwidth Reduction
Abstract. The need to determine pseudoperipheral vertices arises from several graph-theoretical approaches for ordering sparse matrix equations. The results of two algorithms for finding such vertices
NIAID Data Ecosystem90
