Results 31 to 40 of about 2,722 (197)
Application of the Characteristic Basis Function Method Using CUDA
The characteristic basis function method (CBFM) is a popular technique for efficiently solving the method of moments (MoM) matrix equations. In this work, we address the adaptation of this method to a relatively new computing infrastructure provided by ...
Juan Ignacio Pérez +3 more
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Parallel mutual information estimation for inferring gene regulatory networks on GPUs
Background Mutual information is a measure of similarity between two variables. It has been widely used in various application domains including computational biology, machine learning, statistics, image processing, and financial computing.
Liu Weiguo +3 more
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The optical interferometry has been widely explored for surface measurement due to the advantages of non-contact and high accuracy interrogation. Eventually, some interferometers are used to measure both rough and smooth surfaces such as white light ...
Gao, F. +5 more
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Compute Unified Device Architecture (CUDA) is a parallel computing platform developed by Nvidia for increase speed of graphics by usage of parallel mode for processes calculation. The success of this solution has opened technology General-Purpose Graphic
Grzeszczuk A., Kowalski S.
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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
Drug-drug interaction (DDI) is becoming a serious issue in clinical pharmacy as the use of multiple medications is more common. The PubMed database is one of the biggest literature resources for DDI studies.
Yin Lu +4 more
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Parallelising wavefront applications on general-purpose GPU devices [PDF]
Pipelined wavefront applications form a large portion of the high performance scientific computing workloads at supercomputing centres. This paper investigates the viability of graphics processing units (GPUs) for the acceleration of these codes, using ...
Pennycook, Simon J. +3 more
core
Frequency Domain Image Filtering Using CUDA [PDF]
In this paper, we investigate the implementation of image filtering in frequency domain using NVIDIA?s CUDA (Compute Unified Device Architecture). In contrast to signal and image filtering in spatial domain which uses convolution operations and hence is ...
Muhammad Awais Rajput +2 more
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Statistical Analysis of Table-Tennis Ball Trajectories
In this work, the equations of motion for table-tennis balls were numerically solved on graphics processing units (GPUs) using Compute Unified Device Architecture (CUDA) for systematical statistical studies of the impact of ball size and weight, as well ...
Ralf Schneider +4 more
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High-performance solutions of geographically weighted regression in R
As an established spatial analytical tool, Geographically Weighted Regression (GWR) has been applied across a variety of disciplines. However, its usage can be challenging for large datasets, which are increasingly prevalent in today’s digital world.
Binbin Lu +6 more
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