The study of real-time denoising algorithm based on parallel computing for the MEMS IR imager

2011 ◽  
Author(s):  
Cheng Gong ◽  
Mei Hui ◽  
Liquan Dong ◽  
Yuejin Zhao
Keyword(s):  
Parallel Computing ◽  
Real Time ◽  
Ir Imager

Parallelization and analysis of selected numerical algorithms using OpenMP and Pluto on symmetric multiprocessing machine

2019 ◽  
Vol 53 (1) ◽  
pp. 20-32
Author(s):  
Tanvir Habib Sardar ◽  
Ahmed Rimaz Faizabadi
Keyword(s):  
Parallel Computing ◽  
Real Time ◽  
Design Methodology ◽  
Original Work ◽  
Multicore Processors ◽  
Numerical Algorithms ◽  
Huge Amount ◽  
Content Type ◽  
Programming Paradigm ◽  
Symmetric Multiprocessing

PurposeIn recent years, there is a gradual shift from sequential computing to parallel computing. Nowadays, nearly all computers are of multicore processors. To exploit the available cores, parallel computing becomes necessary. It increases speed by processing huge amount of data in real time. The purpose of this paper is to parallelize a set of well-known programs using different techniques to determine best way to parallelize a program experimented.Design/methodology/approachA set of numeric algorithms are parallelized using hand parallelization using OpenMP and auto parallelization using Pluto tool.FindingsThe work discovers that few of the algorithms are well suited in auto parallelization using Pluto tool but many of the algorithms execute more efficiently using OpenMP hand parallelization.Originality/valueThe work provides an original work on parallelization using OpenMP programming paradigm and Pluto tool.

Multi-Standards Deblocking Filter Based SIMD Technology

2013 ◽  
Vol 791-793 ◽  
pp. 1501-1505
Author(s):  
Tao Jia
Keyword(s):  
Parallel Computing ◽  
Video Coding ◽  
Real Time ◽  
Video Processing ◽  
Hardware Accelerators ◽  
Clock Frequency ◽  
Deblocking Filter ◽  
Filtering Algorithm ◽  
Filter Structure ◽  
Coding Standards

Due to real-time video decoding requirements, hardware accelerators for video deblocking filtering has gradually become a research hotspot in recent years. Compared with the traditional deblocking filter hardware accelerators which support only single video coding standard, this paper implemented a deblocking filter structure, which filtering algorithm can be configured to support multiple video coding standards; Using SIMD technology to make filtering data fully parallel computing. This structure is a multi-standard deblocking filter accelerator, supports H264, AVS, VP8 to, RealVideo, four kinds of video coding standards. The clock frequency is 200MHz, and it can be used for real-time filtering of multi-standard HD video processing. Deblocking Filter Algorithm

scholarly journals Snake classification from images

2017 ◽  
Author(s):  
Alex James
Keyword(s):  
Parallel Computing ◽  
Real Time ◽  
Automatic Classification ◽  
Classification Method ◽  
Computing Environment ◽  
Snake Bites ◽  
Major Species ◽  
King Cobra ◽  
Wild Life

Incorrect snake identification from the observable visual traits is a major reason of death resulting from snake bites. So far no automatic classification method has been proposed to distinguish snakes by deciphering the taxonomy features of snake for the two major species of snakes i.e. Elapidae and Viperidae. We present a parallel processed inter-feature product similarity fusion based automatic classification of Spectacled Cobra, Russel's Viper, King Cobra, Common Krait, Saw Scaled Viper, Hump nosed Pit Viper. We identify 31 different taxonomically relevant features from snake images for automated snake classification studies. The scalability and real-time implementation of the classifier is analyzed through GPU enabled parallel computing environment. The developed systems finds application in wild life studies, analysis of snake bites and in management of snake population.

Sign in / Sign up

Export Citation Format

Share Document