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   Articles with "gpu accelerated" as a keyword



A GPU‐Accelerated 3D Unstructured Mesh Based Particle Tracking Code for Multi‐Species Impurity Transport Simulation in Fusion Tokamaks

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recommendations! Published in 2025 at "Contributions to Plasma Physics"

DOI: 10.1002/ctpp.202400073

Abstract: This paper presents the multi‐species global impurity transport capability developed in a GPU‐accelerated fully 3D unstructured mesh‐based code, GITRm, to simultaneously track multiple impurity species and handle interactions of these impurities with mixed‐material surfaces. Different… read more here.

Keywords: mesh based; gpu accelerated; unstructured mesh; multi species ... See more keywords
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GPU-accelerated transient lattice Boltzmann simulation of bubble column reactors

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recommendations! Published in 2020 at "Chemical Engineering Science"

DOI: 10.1016/j.ces.2019.115436

Abstract: Abstract Design parameters for Bubble Column Reactors such as backmixing and light/dark cycles of microalgae cells are pertinent to transient flow dynamics and mesoscale coherent structures. Transient simulation is therefore of practical significance. Traditional CFD… read more here.

Keywords: accelerated transient; gpu accelerated; column reactors; simulation ... See more keywords
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GPU-accelerated meshfree simulations for parameter identification of a friction model in metal machining

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recommendations! Published in 2020 at "International Journal of Mechanical Sciences"

DOI: 10.1016/j.ijmecsci.2020.105571

Abstract: Abstract In the analysis of metal machining processes using meshless methods, friction is usually modeled (if at all) by Coulomb’s law with a prescribed constant coefficient. Experimental observations, however, show that the coefficient μ of… read more here.

Keywords: metal machining; gpu accelerated; friction; model ... See more keywords
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GPU accelerated MFiX-DEM simulations of granular and multiphase flows

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recommendations! Published in 2021 at "Particuology"

DOI: 10.1016/j.partic.2021.08.001

Abstract: Abstract In this research, a Graphical Processing Unit (GPU) accelerated Discrete Element Method (DEM) code was developed and coupled with the Computational Fluid Dynamic (CFD) software MFiX to simulate granular and multiphase flows. The Fortran-based… read more here.

Keywords: multiphase flows; dem; gpu accelerated; granular multiphase ... See more keywords

Uni-Dock: GPU-Accelerated Docking Enables Ultralarge Virtual Screening.

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recommendations! Published in 2023 at "Journal of chemical theory and computation"

DOI: 10.1021/acs.jctc.2c01145

Abstract: Molecular docking, a structure-based virtual screening method, is a reliable tool to enrich potential bioactive molecules from molecular databases. With the rapid expansion of compound library sizes, the speed of existing molecular docking programs becomes… read more here.

Keywords: virtual screening; gpu accelerated; dock; accelerated docking ... See more keywords

GPU-Accelerated Solution of the Bethe-Salpeter Equation for Large and Heterogeneous Systems.

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recommendations! Published in 2024 at "Journal of chemical theory and computation"

DOI: 10.1021/acs.jctc.4c01253

Abstract: We present a massively parallel GPU-accelerated implementation of the Bethe-Salpeter equation (BSE) for the calculation of the vertical excitation energies (VEEs) and optical absorption spectra of condensed and molecular systems, starting from single-particle eigenvalues and… read more here.

Keywords: bethe salpeter; gpu accelerated; salpeter equation;

GPU-accelerated simulated annealing based on p-bits with real-world device-variability modeling

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-90520-3

Abstract: Probabilistic computing using probabilistic bits (p-bits) presents an efficient alternative to traditional CMOS logic for complex problem-solving, including simulated annealing and machine learning. Realizing p-bits with emerging devices such as magnetic tunnel junctions introduces device… read more here.

Keywords: gpu accelerated; variability; device variability; based bits ... See more keywords

GPU-accelerated algorithms for compressed signals recovery with application to astronomical imagery deblurring

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recommendations! Published in 2017 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2017.1356489

Abstract: ABSTRACT Compressive sensing promises to enable bandwidth-efficient on-board compression of astronomical data by lifting the encoding complexity from the source to the receiver. The signal is recovered off-line, exploiting graphical processing unit (GPU)’s parallel computation… read more here.

Keywords: recovery; accelerated algorithms; gpu accelerated; gpu ... See more keywords

GPU accelerated CAD to inspection data deviation colormap generation

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recommendations! Published in 2017 at "Computer-aided Design and Applications"

DOI: 10.1080/16864360.2016.1223440

Abstract: ABSTRACTInspection of stamped sheet metal parts can require CAD to inspection data comparison rates exceeding 1 million points per second. With current serial CPU algorithms, comparing the nominal CAD to the digitizer data can take… read more here.

Keywords: gpu accelerated; cad inspection; inspection data; data deviation ... See more keywords

AutoDeconJ: a GPU-accelerated ImageJ plugin for 3D light-field deconvolution with optimal iteration numbers predicting

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recommendations! Published in 2022 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btac760

Abstract: Abstract Motivation Light-field microscopy (LFM) is a compact solution to high-speed 3D fluorescence imaging. Usually, we need to do 3D deconvolution to the captured raw data. Although there are deep neural network methods that can… read more here.

Keywords: light field; autodeconj gpu; deconvolution; gpu accelerated ... See more keywords

SimMS: a GPU-accelerated cosine similarity implementation for tandem mass spectrometry

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recommendations! Published in 2024 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btaf081

Abstract: Untargeted metabolomics involves a large-scale comparison of the fragmentation pattern of a mass spectrum against a database containing known spectra. Given the number of comparisons involved, this step can be time-consuming. In this work, we… read more here.

Keywords: gpu accelerated; cosine similarity; similarity implementation; mass ... See more keywords