Results 21 to 30 of about 35,296 (265)

Current Prediction Model of GPU Oriented to General Purpose Computing

open access: yesIEEE Access, 2019
In order to reduce the complexity of energy consumption analysis in GPU general computing and solve the dependence of energy consumption analysis on hardware tools, a GPU general-purpose computing current prediction model was proposed based on the ...
Deyu Zhao, Qingkui Chen
doaj   +1 more source

AUTOMATED EXTRACTION OF LIVER OUTLINES FROM COMPUTED TOMOGRAPHY SCAN IMAGES USING A CUDA-BASED SEGMENTATION METHOD [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
The traditional fast marching algorithm for segmentation of the liver is suitable for processing on the central processing unit (CPU) platform, however, it is not suitable for implementation on Graphics Processing Unit (GPU).
Y. Chen, D. Li, Q. Zhu, C. Wang, J. Li
doaj   +1 more source

GPGPU COMPUTING [PDF]

open access: yesChallenges of the Knowledge Society, 2012
Since the first idea of using GPU to general purpose computing, things have evolved over the years and now there are several approaches to GPU programming. GPU computing practically began with the introduction of CUDA (Compute Unified Device Architecture)
BOGDAN OANCEA   +2 more
doaj  

Parallel Sequential Monte Carlo for Efficient Density Combination: The DeCo MATLAB Toolbox

open access: yesJournal of Statistical Software, 2015
This paper presents the MATLAB package DeCo (density combination) which is based on the paper by Billio, Casarin, Ravazzolo, and van Dijk (2013) where a constructive Bayesian approach is presented for combining predictive densities originating from ...
Roberto Casarin   +3 more
doaj   +1 more source

Accelerating Apriori Algorithm of GPU Cluster Based on Hadoop Platform [PDF]

open access: yesJisuanji gongcheng, 2018
Aiming at the problem that the Apriori algorithm has limited computing power in the Hadoop platform,the GPU with Hadoop is combined with Hadoop,and a computing structure of GPU-Hadoop is proposed.Through the MapReduce framework of the Hadoop platform ...
QU Shiqi,LIU Shaojiang,NI Weichuan,YU Qingmao
doaj   +1 more source

Performances of the CFD open-source HPC platform TRUST on GPUs [PDF]

open access: yesEPJ Web of Conferences
TRUST is a versatile open-source CFD tool developed by the CEA since 1993. Initially designed for nuclear applications, TRUST has evolved to tackle a range of thermohydraulic challenges, from one-phase to multiphase flows.
Saikali Elie   +2 more
doaj   +1 more source

Methodologies for Synthesizing and Analyzing Dynamic Dataflow Programs in Heterogeneous Systems for Edge Computing

open access: yesIEEE Open Journal of Circuits and Systems, 2021
The possibility of using the increasing computing power available in cloud infrastructures requires the development of new approaches for application software development and optimization.
Aurelien Bloch   +2 more
doaj   +1 more source

Is GPU the future of Scientific Computing ?

open access: yesAnnales mathématiques Blaise Pascal, 2013
These past few years, new types of computational architectures based on graphics processors have emerged. These technologies provide important computational resources at low cost and low energy consumption. Lots of developments have been done around GPU and many tools and libraries are now available to implement efficiently softwares on those ...
Cottet, Georges-Henri   +5 more
openaire   +3 more sources

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

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