Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/18870
Title: Parallel and distributed computing techniques in biomedical engineering
Authors: CAO YIQUN
Keywords: parallel computing, cluster computing, computational bioengineering, numerical simulation, biomedical image processing, real-time processing
Issue Date: 21-Jan-2006
Source: CAO YIQUN (2006-01-21). Parallel and distributed computing techniques in biomedical engineering. ScholarBank@NUS Repository.
Abstract: Computational methods are widely used in the research and practice of bioengineering. The complex nature of biological process determines that the corresponding computational problems usually have a high complexity and require extraordinary computing capability to solve. Therefore, conventional methods usually face the problem of insufficient computing capacity and undesirable latency. In this thesis, we introduce our effort to use parallel and distributed computing technologies in 2 typical computational bioengineering problems, namely intensive numerical simulation of fiber suspensions modelling, and multiple-frame laser speckle image processing. Focus has been put on performance bottlenecks identification and optimization strategies. We aim to generate reusable application frameworks and programming guidelines for efficient parallel computing on computer clusters. Our experiments and observations have shown that our methods bring performance improvement in terms of higher computing capacity and shorter latency, and can be used in many computational bioengineering problems.
URI: http://scholarbank.nus.edu.sg/handle/10635/18870
Appears in Collections:Master's Theses (Open)

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