Document Detail


Parallel Iteration to the Radiative Transport in Inhomogeneous Media with Bootstrapping.
MedLine Citation:
PMID:  20567056     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
This paper presents a fast parallel method to solve the radiative transport equation in inhomogeneous participating media. We apply a novel approximation scheme to find a good initial guess for both the direct and the scattered components. Then, the initial approximation is used to bootstrap an iterative multiple scattering solver, i.e. we let the iteration concentrate just on the residual problem. This kind of bootstrapping makes the volumetric source approximation more uniform, thus it helps to reduce the discretization artifacts and improves the efficiency of the parallel implementation. The iterative refinement is executed on a face centered cubic grid. The implementation is based on CUDA and runs on the GPU. For large volumes that do not fit into the GPU memory, we also consider the implementation on a GPU cluster, where the volume is decomposed to blocks according to the available GPU nodes. We show how the communication bottleneck can be avoided in the cluster implementation by not exchanging the boundary conditions in every iteration step. In addition to light photons, we also discuss the generalization of the method to gamma-photons that are relevant in medical simulation.
Authors:
Laszlo Szirmay-Kalos; Gabor Liktor; Tamas Umenhoffer; Balazs Toth; Shree Kumar; Glenn Lupton
Related Documents :
19810756 - Silicon oxide cluster formation and stability in the laser ablation of sio targets.
9304566 - Real and simulated clustered microcalcifications in digital mammograms. roc study of ob...
9929446 - Computer simulation of the aggregation and sintering restructuring of fractal-like clus...
10715236 - The radio supernebula in ngc 5253.
25229176 - Electroporation in cancer therapy without insertion of electrodes.
15010946 - Experimental study of cracking induced by desiccation in 1-dimensional systems.
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2010-6-16
Journal Detail:
Title:  IEEE transactions on visualization and computer graphics     Volume:  -     ISSN:  1077-2626     ISO Abbreviation:  -     Publication Date:  2010 Jun 
Date Detail:
Created Date:  2010-6-22     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9891704     Medline TA:  IEEE Trans Vis Comput Graph     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Budapest University of Technology, Budapest.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Convolutional neural networks for P300 detection with application to brain-computer interfaces.
Next Document:  Close contact.