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Abstract

This work aims to investigate the FPGA (Field-Programmable Gate Array) and GPU (Graphical Processing Unit) technology in image optimization research for an industrial frontier study. Using an experimental method, the research compared the efficiency of two technologies as implemented in some many image processing algorithms. NI CompactRIO platform for FPGA implementation and NVIDIA GeForce GTX 970 in GPU processing performed differently. As is well known, low-lag applications (camera synchronization, real-time data processing etc.) were very well suited for FPGAs. GPUs with architecture CUDA, on the other hand could be a thousand times faster than traditional CPUs in parallel data processing. Other challenges identified through analysis were FPGA design optimization and GPU resource wise utilization. The results give recommendation in terms of selecting technologies based on the features for image industrial processing applications

Keywords

FPGA GPU Industrial Image Processing Parallel Computing CUDA Performance Optimization LabVIEW

How to Cite

Citation Format
Vesely, J. (2025). FPGA and GPU Utilization in Industrial Image Processing: Comparative Study and Application. International Journal Software Engineering and Computer Science (IJSECS), 5(1), 88-101. https://doi.org/10.35870/ijsecs.v5i1.3273

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Author Biography

Jaroslav Vesely, Brno University of Technology

Brno University of Technology, Antonínská, Brno-střed, Moravia, Czechia

License

Copyright (c) 2025 Jaroslav Vesely

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

This is an open-access journal distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, reproduction, and adaptation in any medium (even commercially), provided appropriate credit is given to the original author(s), a link to the license is provided, and any changes made are indicated. Authors retain copyright without restrictions and grant the journal the right of first publication as well as non-exclusive publishing rights for archiving, indexing, and scholarly dissemination.

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