Tesfay, Shewit W.Demirdağ, Zeynep GülbeyazUğurdağ, H. FatihAteş, Hasan Fehmi2022-11-302022-11-302022Tesfay, S. W., Demirdağ, Z. G., Uğurdağ, H. F. ve Ateş, H. F. (2022). Hybrid CPU-GPU acceleration of a multithreaded image stitching algorithm. 7th International Conference on Computer Science and Engineering, UBMK içinde (468-473. ss.). Diyarbakir, 14-16 September 2022. https://doi.org/10.1109/UBMK55850.2022.99194739781665470100https://doi.org/10.1109/UBMK55850.2022.9919473https://hdl.handle.net/20.500.12511/10044Real-time image stitching is critical, especially in un-manned aerial vehicles, and its acceleration has received attention in recent years. This paper describes an image stitching acceleration scheme for heterogeneous (CPU+GPU) devices. Acceleration is attempted with both multithreading and multiprocessing. Most time-critical functions in the algorithm are offloaded on to the GPU. We crafted a 3-buffer ping-pong mechanism for synchro-nization and data transfer among threads/processes in order to maximize CPU utilization. We carried out our experiments on Nvidia Jetson AGX Xavier. Results show that more than 3x acceleration is achieved.eninfo:eu-repo/semantics/embargoedAccessCPU-GPUImage StitchingMultithreadingReal-Time Image ProcessingConference Object46847310.1109/UBMK55850.2022.99194732-s2.0-85141877752N/A