Hybrid CPU-GPU acceleration of a multithreaded image stitching algorithm

dc.authorid0000-0002-6842-1528
dc.contributor.authorTesfay, Shewit W.
dc.contributor.authorDemirdağ, Zeynep Gülbeyaz
dc.contributor.authorUğurdağ, H. Fatih
dc.contributor.authorAteş, Hasan Fehmi
dc.date.accessioned2022-11-30T06:45:08Z
dc.date.available2022-11-30T06:45:08Z
dc.date.issued2022
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description.abstractReal-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.
dc.identifier.citationTesfay, 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/UBMK55850.2022.9919473
dc.identifier.doi10.1109/UBMK55850.2022.9919473
dc.identifier.endpage473
dc.identifier.isbn9781665470100
dc.identifier.scopus2-s2.0-85141877752
dc.identifier.scopusqualityN/A
dc.identifier.startpage468
dc.identifier.urihttps://doi.org/10.1109/UBMK55850.2022.9919473
dc.identifier.urihttps://hdl.handle.net/20.500.12511/10044
dc.indekslendigikaynakScopus
dc.institutionauthorAteş, Hasan Fehmi
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof7th International Conference on Computer Science and Engineering, UBMKen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.relation.tubitakinfo:eu-repo/grantAgreement/TUBITAK/SOBAG/118E891, ARDEB-1003
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectCPU-GPU
dc.subjectImage Stitching
dc.subjectMultithreading
dc.subjectReal-Time Image Processing
dc.titleHybrid CPU-GPU acceleration of a multithreaded image stitching algorithm
dc.typeConference Object

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
Ates-Hasan-2022.pdf
Boyut:
386.77 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama: