ESTIMATION ON GIBBS ENTROPY FOR AN ENSEMBLE

<p>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.</p>

Name thesis:degree_name

Master of Science in Computer Science

Level thesis:degree_level

Project

Discipline thesis:degree_discipline

School of Computer Science and Engineering

Year dc:date.available

2015

Author dc:creator

• Sake, Lekhya Sai

Contributors dc:contributor

• Ernesto Gomez

• Parallel Programming
• Entropy
• Gibb's Entropy
• Ensemble
• Non-Deterministic Parallel Executions
• Information theory
• Architectural Engineering
• Computer and Systems Architecture
• Data Storage Systems
• Digital Circuits
• Digital Communications and Networking
• Electrical and Electronics
• Hardware Systems
• Other Computer Engineering

Repository record dc:identifier

https://scholarworks.lib.csusb.edu/etd/264

OAI identifier oai:identifier

oai:scholarworks.lib.csusb.edu:etd-1297