Results 81 to 90 of about 2,722 (197)
Speeding up aperiodic reflectarray antenna analysis by CUDA dynamic parallelism
We discuss one of the computationally most critical steps of the Phase-Only synthesis of aperiodic reflectarrays, namely the fast evaluation of the radiation operator.
LISENO, ANGELO +7 more
core +1 more source
GPU-Based Lossless Compression of Aurora Spectral Data using Online DPCM
It is well known that aurorae have very high research value, but the data volume of aurora spectral data is very large, which brings great challenges to storage and transmission.
Jiaojiao Li, Jiaji Wu, Gwanggil Jeon
doaj +1 more source
FDTD/K-DWM simulation of 3D room acoustics on general purpose graphics hardware using compute unified device architecture (CUDA) [PDF]
The growing demand for reliable prediction of sound fields in rooms have resulted in adaptation of various approaches for physical modeling, including the Finite Difference Time Domain (FDTD) and the Digital Waveguide Mesh (DWM). Whilst considered versatile and attractive methods, they suffer from dispersion errors that increase with frequency and vary
Sheaffer, J, Fazenda, BM
openaire
An implementation of a numerical advection equation solver on modern graphics cards using compute unified device architecture [PDF]
Thesis (M.S.) University of Alaska Fairbanks, 2010"In the past decade, the Graphics Processing Unit (GPU) is reported to have become a powerful general-purpose computation platform for various application areas.
Dang, Wei
core
Fast image reconstruction for fluorescence microscopy
Real-time image reconstruction is essential for improving the temporal resolution of fluorescence microscopy. A number of unavoidable processes such as, optical aberration, noise and scattering degrade image quality, thereby making image reconstruction ...
Mahesh Ravi Varma +2 more
doaj +1 more source
Accelerated Optical Flow Computation using Foveated Vision and Compute Unified Device Architecture [PDF]
Optical flow is a well known technique for the measurement of motion in images. Although it has many applications, calculating the optical flow remains computationally expensive and challenging to use in time-critical tasks.
Kuchnio, Peter
core
CUDASA: Compute Unified Device and Systems Architecture
We present an extension to the CUDA programming language which extends parallelism to multi-GPU systems and GPU-cluster environments. Following the existing model, which exposes the internal parallelism of GPUs, our extended programming language provides
Müller, Christoph +3 more
core +1 more source
Airborne SAR Real-time Imaging Algorithm Design and Implementation with CUDA on NVIDIA GPU
Synthetic Aperture Radar (SAR) image processing requires huge computation amount. Traditionally, this task runs on the workstation or server based on Central Processing Unit (CPU) and is rather time-consuming, hence real-time processing of SAR data is ...
Meng Da-di +4 more
doaj +1 more source
This thesis describes a multi-user implementation of the Interactive Texture-Snapping System (IT-SNAPS) as a Java XML web service. The system uses a Java applet as the client interface, while the server side is composed of Java, C, and compiled Matlab ...
Bryant, Benjamin
core
The opportunities of technology CUDA (Compute Unified Device Architecture - the unified hardware-software decision for parallel calculations on GPU)of the company NVIDIA were described. The basic differences of the programming language ”C” for GPU from
Dudnik, V.A. +4 more
core +1 more source

