Hybrid OpenMP/MPI Monte Carlo Simulations in PET

碩士 === 東吳大學 === 資訊科學系 === 92 === Positron Emission Tomography (PET) is a technology that has useful applications in both the clinical and research settings. It uses a compound that is labeled with radioactivity that allows the imaging and measuring of biological processes. Monte Carlo simulation of...

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Main Authors: Hsiang Yun Wei, 魏湘芸
Other Authors: Wei Min Jeng
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/87362909281733536796
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spelling ndltd-TW-092SCU003940072016-06-15T04:17:27Z http://ndltd.ncl.edu.tw/handle/87362909281733536796 Hybrid OpenMP/MPI Monte Carlo Simulations in PET 混合OpenMP及MPI的蒙地卡羅正子造影模擬 Hsiang Yun Wei 魏湘芸 碩士 東吳大學 資訊科學系 92 Positron Emission Tomography (PET) is a technology that has useful applications in both the clinical and research settings. It uses a compound that is labeled with radioactivity that allows the imaging and measuring of biological processes. Monte Carlo simulation of three-dimensional PET data is critical in understanding the performances of image reconstruction algorithms for corresponding instrumentations. The random numbers used in sampling values from appropriate frequency functions is central and the generator implementation plays an important part. The aim of this research is to reduce the computing time by parallelizing the simulation on a cluster of symmetric multiple processors. Both shared-memory and message passing programming paradigms are employed to obtain the high throughput to expedite the simulation process. Parallelization strategy utilized in the constructs demonstrated its superb performance over prior work. Wei Min Jeng 鄭為民 2004 學位論文 ; thesis 33 zh-TW
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description 碩士 === 東吳大學 === 資訊科學系 === 92 === Positron Emission Tomography (PET) is a technology that has useful applications in both the clinical and research settings. It uses a compound that is labeled with radioactivity that allows the imaging and measuring of biological processes. Monte Carlo simulation of three-dimensional PET data is critical in understanding the performances of image reconstruction algorithms for corresponding instrumentations. The random numbers used in sampling values from appropriate frequency functions is central and the generator implementation plays an important part. The aim of this research is to reduce the computing time by parallelizing the simulation on a cluster of symmetric multiple processors. Both shared-memory and message passing programming paradigms are employed to obtain the high throughput to expedite the simulation process. Parallelization strategy utilized in the constructs demonstrated its superb performance over prior work.
author2 Wei Min Jeng
author_facet Wei Min Jeng
Hsiang Yun Wei
魏湘芸
author Hsiang Yun Wei
魏湘芸
spellingShingle Hsiang Yun Wei
魏湘芸
Hybrid OpenMP/MPI Monte Carlo Simulations in PET
author_sort Hsiang Yun Wei
title Hybrid OpenMP/MPI Monte Carlo Simulations in PET
title_short Hybrid OpenMP/MPI Monte Carlo Simulations in PET
title_full Hybrid OpenMP/MPI Monte Carlo Simulations in PET
title_fullStr Hybrid OpenMP/MPI Monte Carlo Simulations in PET
title_full_unstemmed Hybrid OpenMP/MPI Monte Carlo Simulations in PET
title_sort hybrid openmp/mpi monte carlo simulations in pet
publishDate 2004
url http://ndltd.ncl.edu.tw/handle/87362909281733536796
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