Image-based data, in particular, require significant computational resources, slowing down processing. This study investigates the efficiency of parallel image filtering on large-scale data using GPU. Filtering was performed in parallel on an NVIDIA graphics processor with CUDA technology, and results were compared to sequential CPU processing. The study shows that GPU-based processing with CUDA significantly outperforms CPU execution, achieving up to ~235 times faster performance for large images. These results confirm the high efficiency of GPU and CUDA technology for image processing
| Mualliflar | Javliev, Shakhzod, Turaev, Khurshid |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2026-03-26 |
| Son | 1 |
| Betlar | 322-327 |
| Til | Rus |
image processing, image filtering, parallel processing, CPU, GPU, CUDA technology
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