Publication:
Efficient Arithmetic for Lattice-Based Cryptography on GPU Using the CUDA Platform

dc.authorscopusid15833929800
dc.authorscopusid56247050200
dc.contributor.authorAkleylek, S.
dc.contributor.authorTok, Z.Y.
dc.date.accessioned2025-12-10T22:45:13Z
dc.date.issued2014
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Akleylek] Sedat, Ondokuz Mayis Üniversitesi, Samsun, Turkey,; [Tok] Zaliha Yüce,en_US
dc.description.abstractThe demand to lattice-based cryptographic schemes has been inreasing. Due to processing unit having multiple processors, there is a need to implements such protocols on these platforms. Graphical processing units (GPU) have attracted so much attention. In this paper, polynomial multiplication algorithms, having a very important role in lattice-based cryptographic schemes, are implemented on a GPU (NVIDIA Quadro 600) using the CUDA platform. FFT-based and schoolbook multiplication methods are implemented in serial and parallel way and a timing comparison for these techniques is given. It's concluded that for the polynomials whose degrees are up to 2000 the fastest polynomial multiplication method is iterative NTT. © 2014 IEEE.en_US
dc.identifier.doi10.1109/SIU.2014.6830364
dc.identifier.endpage857en_US
dc.identifier.isbn9781479948741
dc.identifier.scopus2-s2.0-84903771426
dc.identifier.scopusqualityN/A
dc.identifier.startpage854en_US
dc.identifier.urihttps://doi.org/10.1109/SIU.2014.6830364
dc.identifier.urihttps://hdl.handle.net/20.500.12712/35228
dc.identifier.wosqualityN/A
dc.language.isotren_US
dc.publisherIEEE Computer Society help@computer.orgen_US
dc.relation.ispartof-- 2014 22nd Signal Processing and Communications Applications Conference, SIU 2014en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleEfficient Arithmetic for Lattice-Based Cryptography on GPU Using the CUDA Platformen_US
dc.title.alternativeKafes Tabanlı Kriptografik Sistemler İçin CUDA Kullanarak GPU Üzerinde Verimli Aritmetik Uygulamalaren_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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