Date of Award
Master of Science in Computer Science
School of Computer Science and Engineering
First Reader/Committee Chair
In this world of growing technology, any small improvement in the present scenario would create a revolution. One of the popular revolutions in the computer science field is parallel computing. A single parallel execution is not sufficient to see its non-deterministic features, as same execution with the same data at different time would end up with a different path. In order to see how non deterministic a parallel execution can extend up to, creates the need of the ensemble of executions. This project implements a program to estimate the Gibbs Entropy for an ensemble of parallel executions. The goal is to develop tools for studying the non-deterministic feature of parallel code based on execution entropy and use these developed tools for current and future research.
Sake, Lekhya Sai, "ESTIMATION ON GIBBS ENTROPY FOR AN ENSEMBLE" (2015). Electronic Theses, Projects, and Dissertations. 264.
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