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Paralelização automática de laços

Identify opportunities for software parallelism is a task that takes a lot of human time, but once some code patterns for parallelism are identified, a software could quickly accomplish this task. Thus, automating this process brings many benefits such as saving time and reducing errors caused by the programmer. This work aims at developing a software environment that identifies opportunities for parallelism in a source code written in C language, and generates a program with the same behavior, but with higher degree of parallelism, compatible with a graphics processor compatible with CUDA architecture.

Author(s):

Cristiano Oliveira Gonçalves    
Universidade Estadual Paulista - UNESP
Brazil

Roberta Spolon    
Universidade Estadual Paulista - UNESP
Brazil

Renata Spolon Lobato    
Universidade Estadual Paulista - UNESP
Brazil

Aleardo Manacero Jr.    
Universidade Estadual Paulista - UNESP
Brazil

Daniel Correa Lobato    
Instituto Federal de Educação, Ciência e Tecnologia de São Paulo - IFSP
Brazil