Protein Structure Prediction with Parallel Algorithms Orthogonal to Parallel Platforms

Autores

  • Matheus Henrique Junqueira Saldanha Instituto de Ciências Matemáticas e de Computação - Universidade de São Paulo
  • Paulo Sérgio Lopes de Souza Departamento de Sistemas de Computação - Instituto de Ciências Matemáticas e de Computação - Universidade de São Paulo

DOI:

https://doi.org/10.5753/reic.2019.1085

Resumo

The problem of Protein Structure Prediction (PSP) is known to be computationally expensive, which calls for the application of high performance techniques. In this project, parallel PSP algorithms found in the literature are being accelerated and ported to different parallel platforms, producing a set of algorithms that it is diverse in terms of the parallel architectures and parallel programming models used. The algorithms are intended to help other research projects and they have also been made publicly available so as to support the development of more elaborate prediction algorithms. We have thus far produced a set of 16 algorithms (mixing CUDA, OpenMP, MPI and/or complexity reduction optimizations); during its development, two algorithms that promote high performance were proposed, and they have been written in an article that was accepted in the International Conference on Computational Science (ICCS).

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Publicado

2019-06-17

Como Citar

Saldanha, M. H. J., & de Souza, P. S. L. (2019). Protein Structure Prediction with Parallel Algorithms Orthogonal to Parallel Platforms. Revista Eletrônica De Iniciação Científica Em Computação, 17(2). https://doi.org/10.5753/reic.2019.1085