Department of Computer Science at UH

University of Houston

Department of Computer Science

In Partial Fulfillment of the Requirements for the Degree of
Master of Science

Sivaramakrishnan Nagarajan

Will defend his thesis

Implementation and performance analysis of 3D elastic wave modeling in Distributed memory machines

Abstract

In the past, most numerical modeling of seismic acquisition has been confined to either 3D scalar/acoustic models or 2D elastic models. However, the convergence of several factors has spurred a renewed interest in 3D elastic modeling of realistic geologic environments. Given this context, I have attempted to identify the difficulties involved in using the finite difference modeling method for highly heterogeneous 3D elastic models such as encountered in deepwater OBC experiments. The typical application results in input discretized model sizes on the order of tens of gigabytes such that domain decomposition and the communication methodologies between the processes becomes a crucial factor. Efficient domain decomposition can increase performance by reducing caches misses while better processor memory bandwidth and an efficient communication strategy may reduce the time computation to communication ratio. I evaluate and calibrate alternative domain decomposition and commun ication strategies through the simulation of moderate-sized 3D elastic model running on a 42-node Beowulf system.

Date: Thursday, March 27, 2008
Time: 1:30 PM
Place: 550-PGH
Faculty, students, and the general public are invited.
Advisor: Prof Jaspal subhlok