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

R.~S. de Souza; X. Quanfeng; S. Shen; C. Peng; Z. Mu

doi:10.1016/j.ascom.2022.100633

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

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

Research output: Contribution to journal › Article › peer-review

Original language	Undefined/Unknown
Pages (from-to)	100633
Number of pages	1
Journal	Astronomy and Computing
Volume	41
DOIs	https://doi.org/10.1016/j.ascom.2022.100633
Publication status	Published - 1 Oct 2022

Keywords

Principal component analysis
Astroinformatics
GPU computing
Astrophysics - Instrumentation and Methods for Astrophysics
Computer Science - Mathematical Software

Access to Document

10.1016/j.ascom.2022.100633

Cite this

@article{cea618d5f663415887874b6685f8ec37,

title = "qrpca: A package for fast principal component analysis with GPU acceleration",

keywords = "Principal component analysis, Astroinformatics, GPU computing, Astrophysics - Instrumentation and Methods for Astrophysics, Computer Science - Mathematical Software",

author = "{de Souza}, R.~S. and X. Quanfeng and S. Shen and C. Peng and Z. Mu",

year = "2022",

month = oct,

day = "1",

doi = "10.1016/j.ascom.2022.100633",

language = "Undefined/Unknown",

volume = "41",

pages = "100633",

journal = "Astronomy and Computing",

issn = "2213-1345",

publisher = "Elsevier",

}

TY - JOUR

T1 - qrpca: A package for fast principal component analysis with GPU acceleration

AU - de Souza, R.~S.

AU - Quanfeng, X.

AU - Shen, S.

AU - Peng, C.

AU - Mu, Z.

PY - 2022/10/1

Y1 - 2022/10/1

KW - Principal component analysis

KW - Astroinformatics

KW - GPU computing

KW - Astrophysics - Instrumentation and Methods for Astrophysics

KW - Computer Science - Mathematical Software

U2 - 10.1016/j.ascom.2022.100633

DO - 10.1016/j.ascom.2022.100633

M3 - Article

SN - 2213-1345

VL - 41

SP - 100633

JO - Astronomy and Computing

JF - Astronomy and Computing

ER -