Work

qrpca: A package for fast principal component analysis with GPU acceleration

Year: 2022

Type: article

Source: Astronomy and Computing

DOI: 10.1016/j.ascom.2022.100633

Authors: R. S. de Souza, X. Quanfeng, S. Shen, C. Peng, Z. Mu

Institutions: Chinese Academy of Sciences, Shanghai Astronomical Observatory, Shanghai Institute of Technology

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China

Awards: G1116442895, G1636918720, G3339230730, G8445668110

OpenAlex ID: W4282959249

FWCI: 0.761

Cites: 24

Cited by: 8

Related to: 10