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
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
Artifact for Euro-Par2020 Paper -- Improving mapping for sparse direct solvers: A trade-off between data locality and load balancing
It includes all raw data and scripts for running experiments, cleaning data and plotting. A detailed introduction could be found in the zip file package.
NIAID Data Ecosystem60
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
