Gridification of earthquake location finding and regional fault plane solution applications

In this thesis, two studies have been conducted. One of them is Gridification of Earthquake Location Finding (ELF) Application and the other one is Gridification of Regional Fault Plane Solution (FPS) Application. Earthquake Location Finding application finds the hypocenter of an earthquake by using the seismic waveform data generated by seismic stations. ELF is data intensive since it needs to process waveform files from several stations. The application is parallelized by decomposing the problem space and expressing it as a parallel JDL workflow. To implement spatial decompositions, stations are divided among the worker nodes. A node is assigned a task which is responsible for accessing a specific station?s waveform file and computing picks. The results from all worker nodes are then sent to a collector node which runs the HYPO71 program to locate hypocenter of the earthquake. Timing results indeed show that parallelization of file accesses improves performance. The main goal of Regional Fault Plain Solution (FPS) application is the determination of the faulting mechanism that characterizes earthquake parameters (dip,strike, rake) by utilizing regional Moment Tensor Inversion method. The most time-consuming part of the FPS application involves the calculation of Green?s functions. Therefore, calculation of the Green's functions has been parallelized. A Job Description Language workflow is automatically created based on the initial parameters of individual crustal models that are necessary for producing Green functions. Timing results obtained indicate that the FPS application did achieve speed-up as a result of parallelization.