Results 1 to 10 of about 17,635 (167)

GSGP-CUDA — A CUDA framework for Geometric Semantic Genetic Programming

open access: yesSoftwareX, 2022
14 pages, 3 ...
Juan J Tapia   +2 more
exaly   +4 more sources

Correlation between adolescents’ dietary safety management competency and value recognition, efficacy, and competency of convergence using dietary area: a descriptive study [PDF]

open access: yesKorean Journal of Community Nutrition, 2023
Objectives: This study aimed to investigate the correlation between adolescents’ dietary safety management competency, value recognition, efficacy, and competency of convergence using the dietary area (CUDA).
Yunhwa Kim, Yeon-Kyung Lee
doaj   +1 more source

Performance comparison of CPU and GPGPU calculations using three simple case studies [PDF]

open access: yesComputer Science Journal of Moldova, 2023
In this work, we have prepared and analyzed three case studies comparing CPU and GPGPU calculations. After briefly introducing the topic of parallel programming by means of contemporary CPU and GPGPU technologies, we provide an overview of selected ...
Branislav Lipovsky, Slavomir Simonak
doaj   +1 more source

A Comparative Study of the Implementation of SJF and SRT Algorithms on the GPU Processor Using CUDA [PDF]

open access: yesEAI Endorsed Transactions on Internet of Things, 2021
GPU (Graphical Processing Units) have become in a few years very powerful tools for parallel computing. They are currently used in several fields such as image processing, bioinformatics, medical applications and numerical computation...etc.
Youness Rtal, Abdelkader Hadjoudja
doaj   +1 more source

Cuda św. Menasa (wg rękopisu IFAO copte inv. 315-322)

open access: yesVox Patrum, 2021
Pierwsze kolekcje cudów św. Menasa zostały zebrane przez kler sanktuarium świętego w Abu Mina. Dysponujemy bardzo różnorodnym zbiorami zachowanymi w kilku językach, jednak to zbiory koptyjskie najwierniej przekazują pierwotną zawartość cudów wraz z ich ...
Przemysław Piwowarczyk
doaj   +1 more source

CUDA Leaks [PDF]

open access: yesACM Transactions on Embedded Computing Systems, 2016
Graphics processing units (GPUs) are increasingly common on desktops, servers, and embedded platforms. In this article, we report on new security issues related to CUDA, which is the most widespread platform for GPU computing. In particular, details and proofs-of-concept are provided about novel vulnerabilities to which CUDA architectures are subject ...
Roberto Di Pietro   +2 more
openaire   +2 more sources

Image Encryption and Decryption Using Vigenere Cipher with Compute Unified Device Architecture (CUDA)

open access: yesJurnal Masyarakat Informatika, 2023
Compute Unified Device Architecture (CUDA) adalah Application Programming Interface (API) NVIDIA dan platform yang memungkinkan akses langsung ke set instruksi GPU dan memberi dukungan untuk berinteraksi dengan GPU terkait komputasi paralel. Dengan CUDA,
Arjuna Wahyu Kusuma   +3 more
doaj   +1 more source

RT-CUDA: A Software Tool for CUDA Code Restructuring [PDF]

open access: yesInternational Journal of Parallel Programming, 2016
Recent development in graphic processing units (GPUs) has opened a new challenge in harnessing their computing power as a new general purpose computing paradigm. However, porting applications to CUDA remains a challenge to average programmers, which have to package code in separate functions, explicitly manage data transfers between the host and device
Ayaz H. Khan   +3 more
openaire   +3 more sources

GPU Hızlandırmalı Veri Demetleme Algoritmalarının İncelenmesi

open access: yesOnline Academic Journal of Information Technology, 2013
Veri demetleme algoritmaları, arama; spam, saldırı tespiti; hücre, gen, doküman analizi; moleküler dinamik simülasyonlarının biçimlerinin analizi gibi uygulamalar için oldukça önemlidirler.
Murat Hacıömeroğlu   +1 more
doaj   +1 more source

Parallel image resample algorithm based on GPU for land remote sensing data management(基于GPU加速的遥感影像金字塔创建算法及其在土地遥感影像管理中的应用)

open access: yesZhejiang Daxue xuebao. Lixue ban, 2011
为提高单个计算节点创建影像金字塔的速度,本研究首先将GPU并行技术用于加速影像重采样算法.影像重采样算法是影像金字塔创建算法的核心步骤,由于金字塔创建过程中数据量会不断发生变化,而数据量的大小直接影响GPU重采样算法效率.提出了一种基于阈值的金字塔遥感影像创建算法,算法将GPU并行与CPU串行遥感影像重采样算法结合,在创建影像金字塔时,依据阈值动态选择不同的重采样算法,并将本算法应用到土地遥感影像金字塔管理中.实验采用大小为10371×7945的24位遥感影像进行测试,结果表明 ...
KANGJun-feng(康俊锋)   +3 more
doaj   +1 more source

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