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Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"ParaView"”.
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ParaView: Performance debugging through visualization of shared data
… describes the design, implementation, and use of ParaView, a tool to locate performance inefficiencies in programs written for shared-memory multiprocessors. ParaView supplies an intuitive, graphical interface based upon the X-windows system. ParaView aids parallel applications programmers in …
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Investigating interactive visualisation in a Cloud computing environment : a dissertation submitted in partial fulfilment of the requirements for the degree of Bachelor of Software and Information Technology with Honours at Lincoln University
… to visualise large datasets. Results showed that ParaView server VM could be deployed in a Cloud environment which offers more memory and processors for the VM to be utilised. Thus, the interactive visualisation of large datasets is feasible in a Cloud computing environment. Results from the …
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Remote High Performance Visualization of Big Data for Immersive Science
… our pipeline using VirtualGL, TurboVNC, and ParaView to render over 40 million points using remote HPC clusters and project over 26 million pixels in a CAVE-style system. We benchmark the system by varying the video stream compression parameters supported by TurboVNC and establish some best …
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Numerical investigation of the combustion of liquid oxygen droplets in an environment of hydrogen under microgravity conditions
… gradient was determined using the probe tool in Paraview. Using this as an input to the coupled droplet evaporation model developed using MATLAB, the mass balance equation was satisfied. The droplet lifetime was estimated using the D2 Law. Suggestions are made based off these results for …
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Research on High-performance and Scalable Data Access in Parallel Big Data Computing
… big data applications such as mpiBLAST and ParaView can maximize the usage of computing resources such as memory and CPU by tracking resource consumption/availability for task assignment. However, since these schedulers do not take the distributed I/O resources and global data distribution …