Yu-Cheng Chou1, Wei-Chieh Liao2, Yan-Liang Chen2, Ming Chang2, Po Ting Lin3
Intelligent Automation & Soft Computing, Vol.25, No.1, pp. 79-90, 2019, DOI:10.31209/2018.100000011
Abstract This paper presents the Distributed Heterogeneous Inspection System (DHIS),
which comprises two CUDA workstations and is equipped with CPU distributed
computing, CPU concurrent computing, and GPU concurrent computing
functions. Thirty-two grayscale images, each with 5,000× 12,288 pixels and
simulated defect patterns, were created to evaluate the performances of three
system configurations: (1) DHIS; (2) two CUDA workstations with CPU
distributed computing and GPU concurrent computing; (3) one CUDA
workstation with GPU concurrent computing. Experimental results indicated
that: (1) only DHIS can satisfy the time limit, and the average turnaround time
of DHIS is 37.65% of the time limit; (2) a… More >
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