Results 21 to 30 of about 2,722 (197)

Design and Implementation of H.264 Parallel Decoder Based on CUDA [PDF]

open access: yesJisuanji gongcheng, 2016
Aiming at the defects of H.264 such as high complexity and large amounts of computation,this paper designs and implements the CPU+GPU heterogeneous parallel H.264 decoder based on Compute Unified Device Architecture(CUDA),which makes full use of GPU’s ...
CHEN Yong,WU Xiaomin,YANG Jian,XI Hongsheng
doaj   +1 more source

An Architecture for a Tri-Programming Model-Based Parallel Hybrid Testing Tool

open access: yesApplied Sciences, 2023
As the development of high-performance computing (HPC) is growing, exascale computing is on the horizon. Therefore, it is imperative to develop parallel systems, such as graphics processing units (GPUs) and programming models, that can effectively ...
Saeed Musaad Altalhi   +6 more
doaj   +1 more source

Comparative Study of CUDA GPU Implementations in Python With the Fast Iterative Shrinkage-Thresholding Algorithm for LASSO

open access: yesIEEE Access, 2022
A general-purpose GPU (GPGPU) is employed in a variety of domains, including accelerating the spread of deep natural network models; however, further research into its effective implementation is needed. When using the compute unified device architecture
Younsang Cho, Jaeoh Kim, Donghyeon Yu
doaj   +1 more source

Parallel Algorithms of Well-Balanced and Weighted Average Flux for Shallow Water Model Using CUDA

open access: yesModelling and Simulation in Engineering, 2021
Compute Unified Device Architecture (CUDA) implementations are presented of a well-balanced finite volume method for solving a shallow water model. The CUDA platform allows programs to run parallel on GPU.
Nugool Sataporn   +2 more
doaj   +1 more source

Research on Optimization of Heterogeneous Stencil Computing Based on CPU and GPU [PDF]

open access: yesJisuanji gongcheng, 2023
As a type of algorithm that uses fixed pattern templates, stencil computing is widely employed in image processing, computational fluid dynamics simulations, and other fields.However, existing stencil computing approaches exhibit problems such as weak ...
LI Bo, HUANG Dongqiang, JIA Jinfang, WU Li, WANG Xiaoying, HUANG Jianqiang
doaj   +1 more source

A Cloud Computing Service Architecture of a Parallel Algorithm Oriented to Scientific Computing with CUDA and Monte Carlo

open access: yesCybernetics and Information Technologies, 2013
The GPGPU (General Purpose Graphics Processing Units) have become a whole new area for research due to the fast development of GPU hardware and programming tools, such as CUDA (Compute Unified Device Architecture).
Yimu Ji   +5 more
doaj   +1 more source

Software Package for Remote Diagnostics of Agricultural Machinery Condition

open access: yesСельскохозяйственные машины и технологии, 2022
Artificial intelligence is stated to be more and more widely used in agriculture, as well as for the diagnostics of the agricultural machinery condition.
M. N. Kostomakhin, E. V. Pestryakov
doaj   +1 more source

Use of CUDA for the Continuous Space Language Model [PDF]

open access: yes, 2012
The training phase of the Continuous Space Language Model (CSLM) was implemented in the NVIDIA hardware/software architecture Compute Unified Device Architecture (CUDA).
Elizabeth A. Thompson   +3 more
core   +1 more source

Acceleration of profile creation for three-dimensional vector video with GPGPU

open access: yesТруды Института системного программирования РАН, 2018
In the report the optimization of image similarity metric computation method for three dimensional vector video with general-purpose computations on graphical processor unit (GPGPU) is discussed.
A. . Tsyganov
doaj   +1 more source

Detecting and counting people using real-time directional algorithms implemented by compute unified device architecture

open access: yes, 2021
This paper implements a real-time and directional counting algorithm using the Graphic Processing Unit (GPU) Programming for the purpose of detecting and counting people. We use the Compute Unified Device Architecture (CUDA) as the environment of the GPU
Kocak, Yasemin Poyraz, Sevgen, Selcuk
core   +1 more source

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