Resumen

OROZCO-ARIAS, Simon et al. BIOS-ParallelBlast: Optimized sequences alignment parallelization on Xeon Phi. Ing. invest. y tecnol. [online]. 2017, vol.18, n.4, pp.423-432. ISSN 2594-0732.

Usage of supercomputing in science is more necessary every day, due to the large amount of data that researches have to analyze to obtain significant results. Many-cores technologies such as Intel Xeon Phi were developed as an alternative to accelerate these studies and its use in supercomputers and especially in bioinformatics is more common nowadays, but the results are not good enough when high-demand software is executed in heterogeneous clusters. This research shows a wrapper that achieves parallelization optimally using NCBI-Blast on CPUs and Xeon Phi nodes, the main goal here is to reduce execution times and to demonstrate the usefulness that many-cores technologies contribute in applied sciences.

Palabras llave : NCBI-Blast; Xeon Phi; many-cores technologies; heterogeneous clusters; bioinformatics; heterogeneous supercomputing.

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