| _version_ | 1866901926287769600 |
|---|---|
| author | Shakhzod Javliev Khurshid Turaev |
| author_facet | Shakhzod Javliev Khurshid Turaev |
| contents | With technological advancements, the volume of data to be processed is rapidly increasing. 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. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19228158 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | ACCELERATING IMAGE FILTERING PROCESSES ON NVIDIA GRAPHICS PROCESSOR USING CUDA TECHNOLOGY Shakhzod Javliev Khurshid Turaev image processing image filtering parallel processing CPU GPU CUDA technology With technological advancements, the volume of data to be processed is rapidly increasing. 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. |
| title | ACCELERATING IMAGE FILTERING PROCESSES ON NVIDIA GRAPHICS PROCESSOR USING CUDA TECHNOLOGY |
| topic | image processing image filtering parallel processing CPU GPU CUDA technology |
| url | https://doi.org/10.5281/zenodo.19228158 |