Paper Info
Title
Research on accelerating method for video quality measurement program using GPGPU.
Abstract
In recent times, with the advancing of the graphics processing unit (GPU), parallel computing using general-purpose computing on GPU (GPGPU) is expanding. This is achieved through a processing speed faster than those of traditional computing environments across many fields, such as science, medicine, engineering, and analysis. However, there are many constraints in implementing a parallel program using the GPU technology. In this study, we port a CPU-based program (video quality measurement program) to use the technology. Furthermore, we study the acceleration of the GPU-based program and discuss the technical constraints and problems that occur when you modify the CPU-based program to GPU-based program. The program ported to GPU-based program shows more than twice the execution speed improvement rate than the CPU-based program.
Year
DOI
Venue
2016
10.1145/2987386.2987414
RACS
Keywords
Field
DocType
GPGPU, Parallel Computing, CUDA
Central processing unit,Computer science,CUDA,Parallel computing,Computational science,General-purpose computing on graphics processing units,Acceleration,Porting,Graphics processing unit,Video quality
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Seonguk Lee100.68
Jeonghwan Lee201.01
Kyoungmin Kim362.10
Joonhyouk Jang401.35