Results 31 to 40 of about 173,867 (186)

Accelerating Spaceborne SAR Imaging Using Multiple CPU/GPU Deep Collaborative Computing

open access: yesSensors, 2016
With the development of synthetic aperture radar (SAR) technologies in recent years, the huge amount of remote sensing data brings challenges for real-time imaging processing.
Fan Zhang   +4 more
doaj   +1 more source

Multi-GPU Acceleration for Finite Element Analysis in Structural Mechanics

open access: yesApplied Sciences
This work evaluates the computing performance of finite element analysis in structural mechanics using modern multi-GPU systems. We can avoid the usual memory limitations when using one GPU device for many-core computing using multiple GPUs for ...
David Herrero-Pérez   +1 more
doaj   +1 more source

Parallel computing solutions for Markov chain spatial sequential simulation of categorical fields

open access: yesInternational Journal of Digital Earth, 2019
The Markov chain random field (MCRF) model is a spatial statistical approach for modeling categorical spatial variables in multiple dimensions. However, this approach tends to be computationally costly when dealing with large data sets because of its ...
Weixing Zhang   +3 more
doaj   +1 more source

A Heterogeneous Parallel Cholesky Block Factorization Algorithm

open access: yesIEEE Access, 2018
As an essential part of current mainstream computing systems, GPUs are not only powerful graphics engines but also highly parallel programmable processors.
Rongteng Wu
doaj   +1 more source

GPU Acceleration of Hydraulic Transient Simulations of Large-Scale Water Supply Systems

open access: yesApplied Sciences, 2018
Simulating hydraulic transients in ultra-long water (oil, gas) transmission or large-scale distribution systems are time-consuming, and exploring ways to improve the simulation efficiency is an essential research direction. The parallel implementation of
Wanwan Meng   +5 more
doaj   +1 more source

MIMO Radar Parallel Simulation System Based on CPU/GPU Architecture

open access: yesSensors, 2022
The data volume and computation task of MIMO radar is huge; a very high-speed computation is necessary for its real-time processing. In this paper, we mainly study the time division MIMO radar signal processing flow, propose an improved MIMO radar signal
Gaogao Liu   +8 more
doaj   +1 more source

GPU-Accelerated Target Strength Prediction Based on Multiresolution Shooting and Bouncing Ray Method

open access: yesApplied Sciences, 2022
The application of the traditional planar acoustics method is limited due to the low accuracy when computing the echo characteristics of underwater targets. Based on the concept of the shooting and bouncing ray which considers multiple reflections on the
Gang Zhao   +4 more
doaj   +1 more source

DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis

open access: yes, 2019
Training convolutional neural networks (CNNs) requires intense compute throughput and high memory bandwidth. Especially, convolution layers account for the majority of the execution time of CNN training, and GPUs are commonly used to accelerate these ...
Chatterjee, Niladrish   +4 more
core   +1 more source

WTF, GPU! computing twitter's who-to-follow on the GPU [PDF]

open access: yesProceedings of the second ACM conference on Online social networks, 2014
In this paper, we investigate the potential of GPUs for performing link structure analysis of social graphs. Specifically, we implement Twitter's WTF ("Who to Follow") recommendation system on a single GPU. Our implementation shows promising results on moderate-sized social graphs. It can return the top-K relevant users for a single user in 172 ms when
Geil, Afton   +2 more
openaire   +3 more sources

Fast Calculation of the Lomb-Scargle Periodogram Using Graphics Processing Units

open access: yes, 2010
I introduce a new code for fast calculation of the Lomb-Scargle periodogram, that leverages the computing power of graphics processing units (GPUs). After establishing a background to the newly emergent field of GPU computing, I discuss the code design ...
Aubert   +14 more
core   +1 more source

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