Visualization is gaining popularity in the field of Computer Science, especially in areas such as performance evaluation and program animation. In this thesis, we explore the possibility of using visualization to analyze parallel program dynamics. We have developed a visualization system, Chitra for this purpose. Chitra visualizes program execution sequences collected by monitoring parallel and distributed program execution. It provides multiple views to aid in the analysis. Through analysis of program execution sequences, we develop an empirical model, a hybrid stochastic/deterministic model, that describes parallel program behavior. Chitra provides various clues and capabilities that assist in developing an empirical model to fit the observed program behavior. Developing empirical models helps in predicting and evaluation efficiency of parallel programs. A case study of the Dining philosophers problem, a classic resource sharing problem, applies Chitra to develop empirical models for a range of processes. These models help in evaluating efficiency at a range of parameter values, given observations of a few parameters values. Working with Chitra has strengthened our belief that as parallel and distributed programs become more common, visualization systems will have an important role to play in analyzing these programs. / M.S.