Computational Analysis of a Bioinformatics Tool on Shared Memory Architectures of the Santos Dumont Supercomputer Using Intel VTune Profiler

  • Albert Emidio LNCC / FAETERJ-RJ
  • Reiglan Soares LNCC / FAETERJ-RJ
  • Lucas Cruz LNCC
  • Kary Ocaña LNCC
  • Diego Carvalho CEFET
  • Carla Osthoff LNCC
DOI: https://doi.org/10.5753/eradrj.2024.4391

Abstract


The article presents an analysis of the computational performance of the most resource-intensive alignment stage in the Parsl-RNA Seq workflow, using the Intel VTune profiler on the Santos Dumont supercomputer. The objective of the work is to analyze the computational performance of the Bowtie2 software, which is responsible for sequence alignment and is the most computationally demanding task. Bowtie2 was executed with support from the Parsl library and monitored by VTune, aiming to evaluate its efficiency and scalability in high-performance and distributed environments.

References

L. Cruz et al." Workflows Científicos de RNA-Seq em Ambientes Distribuídos de Alto Desempenho: Otimização de Desempenho e Análises de Dados de Expressão Diferencial de Genes", in Anais do XV Brazilian e-Science Workshop, 2021, pp. 57-64, DOI: 10.5753/bresci.2021.15789
Published
2024-11-05
How to Cite

Select a Format
EMIDIO, Albert; SOARES, Reiglan; CRUZ, Lucas; OCAÑA, Kary; CARVALHO, Diego; OSTHOFF, Carla. Computational Analysis of a Bioinformatics Tool on Shared Memory Architectures of the Santos Dumont Supercomputer Using Intel VTune Profiler. In: REGIONAL SCHOOL OF HIGH PERFORMANCE COMPUTING FROM RIO DE JANEIRO (ERAD-RJ), 9. , 2024, Rio de Janeiro/RJ. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2024 . p. 16-18. DOI: https://doi.org/10.5753/eradrj.2024.4391.