Exploring the Non-Uniform Memory Access Parallel Architecture Applied to the Protein Structure Prediction Problem

Título: Exploring the Non-Uniform Memory Access Parallel Architecture Applied to the Protein Structure Prediction Problem

Autores: Felipe Marchi and Rafael Parpinelli.

Resumo:
Proteins are base molecules present in live organisms. The study of their structures and functions is of considerable importance for many application fields, particularly for the pharmaceutical area. However, predict the structure of a protein is considered a complex problem. As optimizing methods for this problem have high execution time, a parallel algorithm was proposed. However, just employing parallelization is not enough to guarantee the efficient use of the available computational resources. In this work, the proposed PSP optimizer was executed in a system with NUMA architecture. To demonstrate the effects of this architecture on the execution of an algorithm with simple parallel model, experiments were carried. Results shows that the that the improper execution of a parallel algorithm in this architecture may lead to performance loss.

Palavras-chave:
protein structure prediction, multi-objective evolutionary algorithms, parallelism.

Páginas: 7

Código DOI: 10.21528/CBIC2021-97

Artigo em pdf: CBIC_2021_paper_97.pdf

Arquivo BibTeX: CBIC_2021_97.bib