Performance of a three-dimensional unstructured mesh compressible flow solver on NVIDIA Fermi-class graphics processing unit hardware

2012 ◽  
Vol 72 (2) ◽  
pp. 259-268 ◽  
Author(s):  
Jacob Waltz
Keyword(s):  
Compressible Flow ◽  
Unstructured Mesh ◽  
Graphics Processing Unit ◽  
Three Dimensional ◽  
Processing Unit ◽  
Flow Solver ◽  
Graphics Processing

A Real-Time Photogrammetric System for Acquisition and Monitoring of Three-Dimensional Human Body Kinematics

2021 ◽  
Vol 87 (5) ◽  
pp. 363-373
Author(s):  
Long Chen ◽  
Bo Wu ◽  
Yao Zhao ◽  
Yuan Li
Keyword(s):  
Real Time ◽  
Human Body ◽  
Graphics Processing Unit ◽  
Three Dimensional ◽  
Stereo Pair ◽  
Processing Unit ◽  
Detection Distance ◽  
Human Kinematics ◽  
Graphics Processing ◽  
Time Acquisition

Real-time acquisition and analysis of three-dimensional (3D) human body kinematics are essential in many applications. In this paper, we present a real-time photogrammetric system consisting of a stereo pair of red-green-blue (RGB) cameras. The system incorporates a multi-threaded and graphics processing unit (GPU)-accelerated solution for real-time extraction of 3D human kinematics. A deep learning approach is adopted to automatically extract two-dimensional (2D) human body features, which are then converted to 3D features based on photogrammetric processing, including dense image matching and triangulation. The multi-threading scheme and GPU-acceleration enable real-time acquisition and monitoring of 3D human body kinematics. Experimental analysis verified that the system processing rate reached ∼18 frames per second. The effective detection distance reached 15 m, with a geometric accuracy of better than 1% of the distance within a range of 12 m. The real-time measurement accuracy for human body kinematics ranged from 0.8% to 7.5%. The results suggest that the proposed system is capable of real-time acquisition and monitoring of 3D human kinematics with favorable performance, showing great potential for various applications.

Acceleration of 2-D Compressible Flow Solvers with Graphics Processing Unit Clusters

2011 ◽  
Vol 8 (8) ◽  
pp. 237-249 ◽  
Author(s):  
Everett H. Phillips ◽  
Yao Zhang ◽  
Roger L. Davis ◽  
John D. Owens
Keyword(s):  
Compressible Flow ◽  
Graphics Processing Unit ◽  
Processing Unit ◽  
Graphics Processing

scholarly journals Simulation of Cavitation Water Flows

2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Piroz Zamankhan
Keyword(s):  
Graphics Processing Unit ◽  
Three Dimensional ◽  
High Energy ◽  
Cfd Modeling ◽  
Processing Unit ◽  
Water Mixture ◽  
Eddy Simulation ◽  
Large Eddy ◽  
Computational Fluid Dynamics Cfd ◽  
Graphics Processing

The air-water mixture from an artificially aerated spillway flowing down to a canyon may cause serious erosion and damage to both the spillway surface and the environment. The location of an aerator, its geometry, and the aeration flow rate are important factors in the design of an environmentally friendly high-energy spillway. In this work, an analysis of the problem based on physical and computational fluid dynamics (CFD) modeling is presented. The numerical modeling used was a large eddy simulation technique (LES) combined with a discrete element method. Three-dimensional simulations of a spillway were performed on a graphics processing unit (GPU). The result of this analysis in the form of design suggestions may help diminishing the hazards associated with cavitation.

scholarly journals THREE-DIMENSIONAL MODELING OF LONG-WAVE RUNUP: SIMULATION OF TSUNAMI INUNDATION WITH GPU-SPHYSICS

2011 ◽  
Vol 1 (32) ◽  
pp. 8 ◽  
Author(s):  
Robert Weiss ◽  
Andrew James Munoz ◽  
Robert A. Dalrymple ◽  
Alexis Herault ◽  
Giuseppe Bilotta
Keyword(s):  
Assessment Tool ◽  
Graphics Processing Unit ◽  
Laboratory Data ◽  
Three Dimensional ◽  
Processing Unit ◽  
Wave Runup ◽  
Tsunami Inundation ◽  
Three Dimensional Modeling ◽  
Particle Hydrodynamics ◽  
Graphics Processing

Tsunamis need to be studied more carefully and quantitatively to fully understand their destructive impact on coastal areas. Numerical modeling provides an accurate and useful method to model tsunami inundations on a coastline. However, models must undergo a detailed verification and validation process to be used as an accurate hazard assessment tool. Using standards and procedures given by NOAA, a new code in hydrodynamic modeling called GPU-SPHysics can be verified and validated for use as a tsunami inundation model. GPU-SPHysics is a meshless, Lagrangian code that utilizes the computing power of the Graphics Processing Unit (GPU) to calculate high resolution hydrodynamic simulations using the equations given by Smooth Particle Hydrodynamics (SPH). GPU-SPHysics has proven to be an accurate tool in modeling complex tsunami inundations, such as the inundation on a conical island, when tested against extensive laboratory data.

Clearance Measurement of 3D Objects Using Accessibility Cone

2019 ◽  
Author(s):  
Masatomo Inui ◽  
Kouhei Nishimiya ◽  
Nobuyuki Umezu
Keyword(s):  
Graphics Processing Unit ◽  
Three Dimensional ◽  
Computation Time ◽  
Depth Information ◽  
Computation Method ◽  
Processing Unit ◽  
Three Dimensional Objects ◽  
Mechanical Products ◽  
Definition Of ◽  
Graphics Processing

Abstract Clearance is a basic parameter in the design of mechanical products, generally specified as the distance between two shape elements, for example, the width of a slot. This definition is unsuitable for evaluating the clearance during assembly or manufacturing tasks, where the depth information is also critical. In this paper, we propose a novel definition of clearance for the surface of three-dimensional objects. Unlike the typical methods used to define clearance, the proposed method can simultaneously handle the relationship between the width and depth in the clearance, and thus, obtain an intuitive understanding regarding the assembly and manufacturing capability of a product. Our definition is based on the accessibility cone of a point on the object’s surface; further, the peak angle of the accessibility cone corresponds to the clearance at this point. A computation method of the clearance is presented and the results of its application are demonstrated. Our method uses the rendering function of a graphics processing unit to compute the clearance. A large computation time necessary for the analysis is considered as a problem regarding the practical use of this clearance definition.

The Design and Realization of Real-Time Three-Dimensional Visualization System for Industrial Computed Tomography Based on GPU

2012 ◽  
Vol 268-270 ◽  
pp. 1706-1709
Author(s):  
Qian Li Wang ◽  
Jian Fu ◽  
Ren Bo Tan ◽  
Li Yuan Chen
Keyword(s):  
Computed Tomography ◽  
Real Time ◽  
Graphics Processing Unit ◽  
Three Dimensional ◽  
Processing Unit ◽  
Destructive Testing ◽  
Visualization System ◽  
Industrial Computed Tomography ◽  
Visualization Toolkit ◽  
Graphics Processing

Industrial computed tomography (ICT) is an advanced non-contact non-destructive testing technique and plays a key role in many fields. Low imaging efficiency is one of the drawbacks of ICT towards engineering applications. In this paper, we report the design and realization of real-time three-dimensional Visualization System for ICT based on visualization toolkit (VTK) and the graphics processing unit (GPU) technique. It greatly improves the imaging speed by developing the new techniques in three aspects such as image reconstruction, data compression and fast volume rendering with GPU and VTK. It will find applications in three-dimensional ICT systems.

A GPU-accelerated continuous and discontinuous Galerkin non-hydrostatic atmospheric model

2017 ◽  
Vol 33 (1) ◽  
pp. 81-109 ◽  
Author(s):  
Daniel S Abdi ◽  
Lucas C Wilcox ◽  
Timothy C Warburton ◽  
Francis X Giraldo
Keyword(s):  
Discontinuous Galerkin ◽  
Graphics Processing Unit ◽  
Three Dimensional ◽  
Atmospheric Model ◽  
Benchmark Problems ◽  
Processing Unit ◽  
Multiple Thread ◽  
And Performance ◽  
Graphics Processing ◽  
Gpu Implementation

We present a Graphics Processing Unit (GPU)-accelerated nodal discontinuous Galerkin method for the solution of the three-dimensional Euler equations that govern the motion and thermodynamic state of the atmosphere. Acceleration of the dynamical core of atmospheric models plays an important practical role in not only getting daily forecasts faster, but also in obtaining more accurate (high resolution) results within a given simulation time limit. We use algorithms suitable for the single instruction multiple thread architecture of GPUs to accelerate our model by two orders of magnitude relative to one core of a CPU. Tests on one node of the Titan supercomputer show a speedup of up to 15 times using the K20X GPU as compared to that on the 16-core AMD Opteron CPU. The scalability of the multi-GPU implementation is tested using 16,384 GPUs, which resulted in a weak scaling efficiency of about 90%. Finally, the accuracy and performance of our GPU implementation is verified using several benchmark problems representative of different scales of atmospheric dynamics.

Sign in / Sign up

Export Citation Format

Share Document