Application of General-Purpose Computing on Graphics Processing Units for Acceleration of Basic Linear Algebra Operations and Principal Components Analysis Method

被引：4

作者：

Majchrowicz, Michal ^{[1
]}

Kapusta, Pawel ^{[1
]}

Was, Lukasz ^{[2
]}

Wiak, Slawomir ^{[2
]}

机构：

[1] Lodz Univ Technol, Inst Appl Comp Sci, Lodz, Poland

[2] Lodz Univ Technol, Inst Mech & Informat Syst, Lodz, Poland

来源：

MAN-MACHINE INTERACTIONS 3 | 2014年 / 242卷

关键词：

PCA; GPU; linear algebra operations;

D O I：

10.1007/978-3-319-02309-0_57

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Nowadays speed of performed calculations can have significant impact not only on industrial application of developed solutions but also on conducted research, it is not uncommon for scientist to perform computations that may take hours or even days to complete. In this paper two different kinds of computations were analyzed: principal components analysis method and basic linear algebra operations. Authors present in this paper two different methods performing calculations using graphic cards. First one, used for PCA algorithm, uses single device, whereas second one, used in Landweber algorithm, uses multiple devices for conducting calculations.

引用

页码：519 / 527

页数：9

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