scholarly journals Accelerating image reconstruction in three-dimensional optoacoustic tomography on graphics processing units

2013 ◽  
Vol 40 (2) ◽  
pp. 023301 ◽  
Author(s):  
Kun Wang ◽  
Chao Huang ◽  
Yu-Jiun Kao ◽  
Cheng-Ying Chou ◽  
Alexander A. Oraevsky ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Graphics Processing Units ◽  
Three Dimensional ◽  
Optoacoustic Tomography ◽  
Graphics Processing

scholarly journals Iterative Krylov solution methods for geophysical electromagnetic simulations on throughput-oriented processing units

2011 ◽  
Vol 26 (4) ◽  
pp. 378-385 ◽  
Author(s):  
Michael Commer ◽  
Filipe RNC Maia ◽  
Gregory A Newman
Keyword(s):  
Graphics Processing Units ◽  
Three Dimensional ◽  
Subsurface Imaging ◽  
Systems Of Equations ◽  
Sparse Linear Systems ◽  
Electromagnetic Simulations ◽  
Solution Methods ◽  
Memory Resources ◽  
Graphics Processing ◽  
Linear Systems Of Equations

Many geo-scientific applications involve boundary value problems arising in simulating electrostatic and electromagnetic fields for geophysical prospecting and subsurface imaging of electrical resistivity. Modeling complex geological media with three-dimensional finite-difference grids gives rise to large sparse linear systems of equations. For such systems, we have implemented three common iterative Krylov solution methods on graphics processing units and compared their performance with parallel host-based versions. The benchmarks show that the device efficiency improves with increasing grid sizes. Limitations are currently given by the device memory resources.

An Accelerated 3D Navier–Stokes Solver for Flows in Turbomachines

2010 ◽  
Vol 133 (2) ◽  
Author(s):  
Tobias Brandvik ◽  
Graham Pullan
Keyword(s):  
Graphics Processing Units ◽  
Three Dimensional ◽  
Navier Stokes ◽  
Linear Scaling ◽  
Test Case ◽  
Processing Unit ◽  
Central Processing ◽  
Order Of Magnitude ◽  
Graphics Processing ◽  
Good Agreement

A new three-dimensional Navier–Stokes solver for flows in turbomachines has been developed. The new solver is based on the latest version of the Denton codes but has been implemented to run on graphics processing units (GPUs) instead of the traditional central processing unit. The change in processor enables an order-of-magnitude reduction in run-time due to the higher performance of the GPU. The scaling results for a 16 node GPU cluster are also presented, showing almost linear scaling for typical turbomachinery cases. For validation purposes, a test case consisting of a three-stage turbine with complete hub and casing leakage paths is described. Good agreement is obtained with previously published experimental results. The simulation runs in less than 10 min on a cluster with four GPUs.

Graphics processing units accelerated MIMO tomographic image reconstruction using target sparseness

2014 ◽  
Author(s):  
Pedro D. Bello-Maldonado ◽  
Agustin Rivera-Longoria ◽  
Mark Idleman ◽  
Yuanwei Jin ◽  
Enyue Lu
Keyword(s):  
Image Reconstruction ◽  
Graphics Processing Units ◽  
Tomographic Image ◽  
Tomographic Image Reconstruction ◽  
Graphics Processing

An Accelerated 3D Navier-Stokes Solver for Flows in Turbomachines

2009 ◽  
Author(s):  
Tobias Brandvik ◽  
Graham Pullan
Keyword(s):  
Graphics Processing Units ◽  
Three Dimensional ◽  
Navier Stokes ◽  
Linear Scaling ◽  
Test Case ◽  
Processing Unit ◽  
Central Processing ◽  
Order Of Magnitude ◽  
Graphics Processing ◽  
Good Agreement

A new three-dimensional Navier-Stokes solver for flows in turbomachines has been developed. The new solver is based on the latest version of the Denton codes, but has been implemented to run on Graphics Processing Units (GPUs) instead of the traditional Central Processing Unit (CPU). The change in processor enables an order-of-magnitude reduction in run-time due to the higher performance of the GPU. Scaling results for a 16 node GPU cluster are also presented, showing almost linear scaling for typical turbomachinery cases. For validation purposes, a test case consisting of a three-stage turbine with complete hub and casing leakage paths is described. Good agreement is obtained with previously published experimental results. The simulation runs in less than 10 minutes on a cluster with four GPUs.

IMPLEMENTATION OF THE LORENTZ–DRUDE MODEL INCORPORATED FDTD METHOD ON MULTIPLE GPUs FOR PLASMONICS APPLICATIONS

2014 ◽  
Vol 11 (04) ◽  
pp. 1350063 ◽  
Author(s):  
IFTIKHAR AHMED ◽  
RICK SIOW MONG GOH ◽  
ENG HUAT KHOO ◽  
KIM HUAT LEE ◽  
SIAW KIAN ZHONG ◽  
...  
Keyword(s):  
Time Domain ◽  
Graphics Processing Units ◽  
Maxwell Equations ◽  
Fdtd Method ◽  
Three Dimensional ◽  
Drude Model ◽  
Multiple Gpus ◽  
Device Architecture ◽  
Graphics Processing ◽  
Difference Time

The Lorentz–Drude model incorporated Maxwell equations are simulated by using the three-dimensional finite difference time domain (FDTD) method and the method is parallelized on multiple graphics processing units (GPUs) for plasmonics applications. The compute unified device architecture (CUDA) is used for GPU parallelization. The Lorentz–Drude (LD) model is used to simulate the dispersive nature of materials in plasmonics domain and the auxiliary differential equation (ADE) approach is used to make it consistent with time domain Maxwell equations. Different aspects of multiple GPUs for the FDTD method are presented such as comparison of different numbers of GPUs, transfer time in between them, synchronous, and asynchronous passing. It is shown that by using multiple GPUs in parallel fashion, significant reduction in the simulation time can be achieved as compared to the single GPU.

Real Time Machinability Analysis of Free Form Surfaces on the GPU

2007 ◽  
Author(s):  
Mikola Lysenko ◽  
Keyvan Rahmani ◽  
Roshan D’Souza
Keyword(s):  
Real Time ◽  
Graphics Processing Units ◽  
Three Dimensional ◽  
Free Form ◽  
Complex Objects ◽  
Cad System ◽  
Solid Models ◽  
Early Design Stages ◽  
Graphics Processing ◽  
Free Form Surfaces

In this paper a new hardware accelerated method is presented to evaluate the machinability of free-form surfaces. This method works on tessellated models that are commonly used by CAD systems to render three-dimensional shaded images of solid models. Modern Graphics Processing Units (GPUs) can be programmed in hardware to accelerate specialized rendering techniques. In this research, we have developed new algorithms that utilize the programmability of GPUs to evaluate machinability of free-form surfaces. The method runs in real time on fairly inexpensive hardware (<$600), and performs well regardless of the surface type. The complexity of the method is dictated by the size of the projected view of the model. The proposed method can be used as a plug-in in a CAD system to evaluate manufacturability of a part at early design stages. The efficiency and the speed of the proposed method are demonstrated on some complex objects.

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