Results 21 to 30 of about 4,664 (251)

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

Improved Parallel Rabin-Karp Algorithm Using Compute Unified Device Architecture [PDF]

open access: yes, 2017
Information and Communication Technology for Intelligent Systems (ICTIS 2017)
Parth Shah, Rachana Oza
openaire   +2 more sources

Parallelization and Optimization of Application for Phonon BTE

open access: yesJisuanji kexue yu tansuo, 2020
Heat conduction, as occurring at submicron scale can be predicted effectively using the Boltzmann transport equation (BTE) for phonons. Compared with the stochastic methods, the deterministic method represented by the finite volume method for the phonon ...
WEN Minhua, LIU Yongzhi, BAO Hua, HU Yue, SHEN Yongxing, WEI Jianwen, LIN Xinhua
doaj   +1 more source

Frequency Domain Image Filtering Using CUDA [PDF]

open access: yesMehran University Research Journal of Engineering and Technology, 2014
In this paper, we investigate the implementation of image filtering in frequency domain using NVIDIA?s CUDA (Compute Unified Device Architecture). In contrast to signal and image filtering in spatial domain which uses convolution operations and hence is ...
Muhammad Awais Rajput   +2 more
doaj  

CATE: A fast and scalable CUDA implementation to conduct highly parallelized evolutionary tests on large scale genomic data

open access: yesMethods in Ecology and Evolution, 2023
Statistical tests for molecular evolution provide quantifiable insights into the selection pressures that govern a genome's evolution. Increasing sample sizes used for analysis leads to higher statistical power.
Deshan Perera   +5 more
doaj   +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

Hybrid deterministic non-deterministic data-parallel algorithm for real-time unmanned aerial vehicle trajectory planning in CUDA

open access: yese-Prime: Advances in Electrical Engineering, Electronics and Energy, 2022
The development of autonomous Unmanned Aerial Vehicles (UAVs) is a priority to many civilian and military organizations. Real time optimal trajectory planning is an essential element for the autonomy of UAVs.
Vincent Roberge, Mohammed Tarbouchi
doaj   +1 more source

Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations

open access: yesFEBS Letters, EarlyView.
The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas   +6 more
wiley   +1 more source

Application of the Characteristic Basis Function Method Using CUDA

open access: yesInternational Journal of Antennas and Propagation, 2014
The characteristic basis function method (CBFM) is a popular technique for efficiently solving the method of moments (MoM) matrix equations. In this work, we address the adaptation of this method to a relatively new computing infrastructure provided by ...
Juan Ignacio Pérez   +3 more
doaj   +1 more source

Implementation of algebraic procedures on the GPU using CUDA architecture on the example of generalized eigenvalue problem

open access: yesOpen Computer Science, 2016
The ready to use set of functions to facilitate solving a generalized eigenvalue problem for symmetric matrices in order to efficiently calculate eigenvalues and eigenvectors, using Compute Unified Device Architecture (CUDA) technology from NVIDIA, is ...
Syrocki Łukasz, Pestka Grzegorz
doaj   +1 more source

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