GPU computing performance analysis on matrix multiplication

GPU computing performance analysis on matrix multiplication

The machine learning has been widely used in intelligent data mining. The high-computational complexity of machine learning and huge data volume present challenges to computing platforms. Graphics processor unit (GPU) provides powerful computing support for machine learning but shows different perfo...

Full description

Bibliographic Details
Main Authors: Zhibin Huang, Ning Ma, Shaojun Wang, Yu Peng
Format: Article
Language:English
Published: Wiley 2019-12-01
Series:The Journal of Engineering
Subjects:
computational complexity
application program interfaces
data mining
matrix multiplication
parallel architectures
graphics processing units
learning (artificial intelligence)
microprocessor chips
gpu programming language
gpu computing performance analysis
machine learning
graphics processor unit
time-consuming computation operation
central processing unit
application programming interface
c architecture
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9178

Internet

https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9178

Similar Items