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The Application of Parallel Computing to Spatial Scanning of Seismicity Rate Changes (Z-Value) and Its Efficiency Evaluation

Author: LiuGuiPing
Tutor: LiMinFeng
School: China Seismological Bureau, Institute of Earthquake Prediction
Course: Solid Geophysics
Keywords: Z values Spatial scanning Parallel computing Speedup Parallel efficiency B / S structure
CLC: P315
Type: Master's thesis
Year: 2009
Downloads: 47
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Calm seismic activity has been an important aspect of the earthquake scholars, the special precursory seismic quiescence proposed to promote precursory seismic quiescence quantitative research, precursory before strong earthquakes calm phenomena have been reported, and these show that the precursor earthquakes calm effectiveness and universality. Method classification, major seismic activity in temporal and spatial distribution of the evolution of the diagram method, system deviate from the law of the seismic activity rate change method and the energy released by an earthquake. Changes in seismic activity rate method to calculate the Z value has been one of the most widely used methods in the application, in order to choose a better calculation results, the need for high precision meshing and the seismic spatial scanning window, so bring the processing relative to ordinary processing software is more difficult to withstand the high computational problem, the other due to the seismicity parameter space scan with similar, so take advantage of parallel computing method to achieve a spatial scan of the Z value of the seismic activity rate has universal significance. This paper introduces the the seismic quiescence research put forward, the seismic gap propose precursory seismic calm proposed and various research methods, and discuss the difficulties arising from the current situation in the Z-test method for seismic activity rate change research, thereby The proposed purpose of the study and research of the main content. Take into account the prospects of significant application of parallel computing in seismic data processing, so the second part of the thesis of parallel computing simple meaning, structure model of the background of the development of parallel computers, parallel computers, parallel computer memory access model background knowledge introduction, followed by from the Top500 angle of analysis of mainstream development of parallel computer architecture, processor and high-performance network. PC cluster structures is the premise of parallel computing, is also an important aspect of the paper work, therefore the third part of the paper first introduces the hardware settings, and then details the installation of the service software for SSI (single system image) including for the user login realized NIS, for NFS file sharing, for unified time NTP used for the calculation of the resource management and job scheduling of the Torque / Maui for distributed monitoring cluster node and configure various The Ganglia of performance and MPICH software used to implement the parallel computing environment, and finally introduce the SAN storage systems to adapt to the large seismic data processing technology and parallel file system, PVFS. Parallel processing is described in Part IV of this paper, first introduced the general method of parallel processing as well as the Z value space scan parallel processing method, the calculation process, then using computational examples to contrast ZMAP software and parallel computing to achieve Z value graph, to verify the validity of the calculation of the Z values. Parallel computing performance test has been the field of parallel computing research focus, the fifth part of the paper first introduced the definition of parallel computing algorithm-level performance speedup and parallel efficiency, followed by departure from the calculation example, get a different calculation scale more consistent good speedup and parallel efficiency test results, tested at the same time, take advantage of the earthquake catalog of the small amount of data processing can be speculated that the time on parallel computing performance parallel processing of large seismic data read and write, Finally average Scalability of Parallel Programs velocity method preliminary quantitative tests to get good results, and provide a more reliable basis to be applied to large-scale cluster system. In order to adapt to the needs of the research work real-time interactive access to the results of the seismic data processing, an important work of this thesis is to explore the realization of a Web-based parallel computing services. The sixth first detailed CGI basic concepts and works, then introduced the Z value space scan Web service implementation methodology and detailed implementation process, and finally an example of the results of the Z value space scan capture. The last chapter of the thesis is a summary of the entire thesis work, including the results of the study, the inadequacies of the study as well as areas for improvement in the future work process.

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CLC: > Astronomy,Earth Sciences > Geophysics > Earth ( rock circles ) physics ( geophysics ) > Seismology
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