Results 41 to 50 of about 2,722 (197)
Research on GPU Real-time Stitching of Multi-channel High-definition YUV Video [PDF]
To improve the real-time performance of high-definition video stitching,a stitching method of GPU-based real-time multi-channel high-definition YUV video is proposed.Firstly,the perspective model of YUV422 image stitching is deduced,and then parallel ...
WANG Zhen,XU Xiaohang,WANG Jing,LI Sheng,ZHENG Hong
doaj +1 more source
NVIDIA's CUDA, Compute Unified Device Architecture, is a general purpose scalable parallel computing software platform. This platform is considered to be quite successful at programming multithreaded many core graphics processing units.
石原, 秀男
core +1 more source
Experiences with porting and modelling wavefront algorithms on many-core architectures [PDF]
We are currently investigating the viability of many-core architectures for the acceleration of wavefront applications and this report focuses on graphics processing units (GPUs) in particular.
Pennycook, Simon J. +3 more
core
This paper presents temporal and adaptive‐frequency network with MixStyle (TAMNet), a deep time‐series modeling framework for accurate and robust multi‐well oil productivity forecasting. TAMNet integrates transformer and long short‐term memory architectures to capture both short‐ and long‐term temporal dependencies, enhanced by a temporal gate unit ...
Chunxi Yang +6 more
wiley +1 more source
Super Calculator using Compute Unified Device Architecture (CUDA) [PDF]
Scientific computation requires a great amount of computing power especially in floating-point operation but a high-end multi-cores processor is currently limited in terms of floating point operation performance and parallelization.
Nazlee, Anas Mohd
core
An Intelligent Image Processing System for Real-Time Detection of Surface Flaws
This paper presents an intelligent parallel image processing system, PVCS (Parallel Visual Computing System), to handle in-line surface defect detection for large objects.
Yu-Cheng Chou +3 more
doaj +1 more source
We developed PZM‐YOLO to automatically detect plateau zokor mounds in UAV imagery of alpine meadows. The model achieved reliable detection of small and densely distributed mounds under complex backgrounds, outperforming the baseline YOLOv5s. This framework supports mound counting, mound position, rodent impact assessment, and grassland restoration ...
Yang Yang +5 more
wiley +1 more source
Optimization Solutions for Improving the Performance of the Parallel Reduction Algorithm Using Graphics Processing Units [PDF]
In this paper, we research, analyze and develop optimization solutions for the parallel reduction function using graphics processing units (GPUs) that implement the Compute Unified Device Architecture (CUDA), a modern and novel approach for improving the
Ion LUNGU +2 more
doaj
This study proposes an automated method to infer brown bear hair snare interactions by detecting bipedal behavior in camera‐trap images using a pose estimation model and a multilayer perceptron (MLP). A YOLO‐based model, fine‐tuned from humans and dogs to a custom dataset, achieved high performance (≈93% keypoint precision and ≈96% classification ...
Arnau Campanera‐Moliné +8 more
wiley +1 more source
Comprehensive Analysis of High-Performance Computing Methods for Filtered Back-Projection
This paper provides an extensive analysis concerning runtime, accuracy and noise of High-Performance Computing (HPC) frameworks for Computed Tomography (CT) reconstruction tasks: "conventional" multi-core, multi threaded CPUs, the Compute Unified Device ...
Christian B. Mendl +3 more
doaj +1 more source

