Source to source compiler for the automatic parallelization of JavaScript code

This work focuses on the development of a source-to-source compiler for the automatic parallelization of JavaScript code. The proposed compiler transforms the input code to an AST (Abstract syntax tree). Afterward, we applied a dependence analysis, followed by fusion and fission techniques. As a later part, new portions of code are inserted to parallelize specific sections of the original program. From the modified AST obtained, we return a new JavaScript code. From our experimentations, we can conclude that our solution reduces the execution time by parallelizing loops, but only if they do not use significant amounts of data, and the complexity of them is not concentrated in a small number of iterations.

Name thesis:degree_name

Ingeniero de sistemas

Level thesis:degree_level

Título Profesional

Discipline thesis:degree_discipline

Ingeniería de sistemas

Grantor dc:publisher

Universidad de Lima

Year dc:date.issued

2021

Author dc:creator

• Diaz Baskakov, Serguei Ramiro Ramirovich

Advisor dc:contributor.advisor

• Gutiérrez Cárdenas, Juan Manuel

• Java (Lenguaje de programación)
• Software
• Desarrollo
• Ingeniería del software
• Java (Computer program language)
• Computer software
• Development
• Software engineering

Statement dc:rights

• info:eu-repo/semantics/restrictedAccess

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/20.500.12724/15414

OAI identifier oai:identifier

oai:repositorio.ulima.edu.pe:20.500.12724/15414