Results 101 to 110 of about 48,067 (311)

Efficient Distributed GPU Programming for Exascale

, 2021
Over the past years, GPUs became ubiquitous in HPC installations around the world. Today, they provide the majority of performance of some of the largest supercomputers (e.g. Summit, Sierra, JUWELS Booster).
Herten, Andreas, Kraus, Jiri, Hrywniak, Markus, Oden, Lena, Garcia de Gonzalo, Simon   +4 more
core   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

GPU-based multi-group discrete ordinates transport calculations: Parallel computing implementation in STRAUM

Nuclear Engineering and Technology
Discrete ordinates (SN) method with unstructured meshes is highly appropriate for high-fidelity modeling and simulation of radiation shielding problems with complicated geometries.
Ao Zhang, Ser Gi Hong, Seungil Jeong, Jingen Chen   +3 more
doaj   +1 more source

Multi-GPU hybrid programming accelerated three-dimensional phase-field model in binary alloy

AIP Advances, 2018
In the process of dendritic growth simulation, the computational efficiency and the problem scales have extremely important influence on simulation efficiency of three-dimensional phase-field model.
Changsheng Zhu, Jieqiong Liu, Mingfang Zhu, Li Feng   +3 more
doaj   +1 more source

Interactive ray shading of FRep objects

, 2008
In this paper we present a method for interactive rendering general procedurally defined functionally represented (FRep) objects using the acceleration with graphics hardware, namely Graphics Processing Units (GPU).
Fryazinov, Oleg, Pasko, Alexander
core  

GPU acceleration of a high-resolution fully compressible Navier-Stokes solver using OpenACC

, 2022
openIn questo lavoro viene presentata l'accelerazione GPU (Graphic Processing Unit) di un solutore alle differenze finite delle equazioni di Navier-Stokes (unsteady, robust, all-around), URANOS.
SANDRIN, SIMONE
core  

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown, Mathilda Avirett‐Mackenzie, Carolin Villforth, Georgios Exarchakis   +3 more
wiley   +1 more source

Scan primitives for GPU computing.

, 2007
The scan primitives are powerful, general-purpose data-parallel primitives that are building blocks for a broad range of applications. We describe GPU implementations of these primitives, specifically an efficient formulation and implementation of segmented scan, on NVIDIA GPUs using the CUDA API.
Sengupta, Shubhabrata, Harris, Mark, Zhang, Yao, Owens, John D.   +3 more
openaire   +3 more sources

Microscale Mapping of Fiber Strain and Damage in Composite Wrinkled Laminates Using Computed Tomography Assisted Wide‐Angle X‐Ray Scattering

Advanced Science, EarlyView.
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong, James Trevarthen, Igor Dolbnya, Wadwan Singhapong, Nicholas Pilato, Richard Butler, Jiraphant Srisuriyachot, Alexander J. G. Lunt   +7 more
wiley   +1 more source

GPU-MATLAB-Enabled Multivariate Fox H-Function Code

, 2018
<p>A fast implementation for the multivariate Fox H-function leveraging the high computing capabilities of GPU.</p ...
Hatim Chergui, Mustapha Benjillali and Mohamed-Slim Alouini
core   +1 more source