{"id":{"repo_id":"csusb","oai_identifier":"oai:scholarworks.lib.csusb.edu:etd-1297"},"canonical_url":"https://search.dev.ndltd.org/etd/csusb/oai:scholarworks.lib.csusb.edu:etd-1297","repository":{"repo_id":"csusb","name":"CSUniversity San Bernardino","base_url":"https://scholarworks.lib.csusb.edu/do/oai/"},"display":{"title":"ESTIMATION ON GIBBS ENTROPY FOR AN ENSEMBLE","abstract":"<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>","abstract_html":"&lt;p&gt;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.&lt;/p&gt;","abstract_has_math":false,"creators":["Sake, Lekhya Sai"],"institution":null,"degree_name":"Master of Science in Computer Science","degree_level":"Project","degree_discipline":"School of Computer Science and Engineering","degree_department":null,"school":null,"contributors":["Ernesto Gomez"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-12-01T08:00:00Z","date_published":"2015-12-01T08:00:00Z","updated_at":"2026-07-24T01:52:53Z","subjects":["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"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarworks.lib.csusb.edu/etd/264","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Ernesto Gomez"]},{"key":"dc:creator","label":"Author","values":["Sake, Lekhya Sai"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2015-11-30T08:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["School of Computer Science and Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Project"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in Computer Science"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["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"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarworks.lib.csusb.edu/etd/264"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<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>"]},{"key":"dc:title","label":"Title","values":["ESTIMATION ON GIBBS ENTROPY FOR AN ENSEMBLE"]}]}],"canonical_facts":{"dc:contributor":["Ernesto Gomez"],"dc:creator":["Sake, Lekhya Sai"],"dc:date.available":["2015-11-30T08:00:00Z"],"dc:description.abstract":["<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>"],"dc:identifier":["https://scholarworks.lib.csusb.edu/etd/264"],"dc:subject":["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"],"dc:title":["ESTIMATION ON GIBBS ENTROPY FOR AN ENSEMBLE"],"thesis:degree_discipline":["School of Computer Science and Engineering"],"thesis:degree_level":["Project"],"thesis:degree_name":["Master of Science in Computer Science"]},"updated_at":"2026-07-24T01:52:53Z"}