Performance Analysis of Parallelized Bioinformatics Applications

Authors

  • Dhruv Chander Pant Research Scholar, I. K. Gujral Punjab Technical University, Kapurthala, Punjab, India
  • O. P. Gupta Associate Professor, Punjab Agricultural University, Ludhiana, Punjab, India

DOI:

https://doi.org/10.51983/ajcst-2018.7.2.1881

Keywords:

Applications, Bioinformatics, High Performance Computing, Parallel Computing

Abstract

The main challenges bioinformatics applications facing today are to manage, analyze and process a huge volume of genome data. This type of analysis and processing is very difficult using general purpose computer systems. So the need of distributed computing, cloud computing and high performance computing in bioinformatics applications arises. Now distributed computers, cloud computers and multi-core processors are available at very low cost to deal with bulk amount of genome data. Along with these technological developments in distributed computing, many efforts are being done by the scientists and bioinformaticians to parallelize and implement the algorithms to take the maximum advantage of the additional computational power. In this paper a few bioinformatics algorithms have been discussed. The parallelized implementations of these algorithms have been explained. The performance of these parallelized algorithms has been also analyzed. It has been also observed that in parallel implementations of the various bioinformatics algorithms, impact of communication subsystems with respect to the job sizes should also be analyzed.

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Published

05-08-2018

How to Cite

Pant, D. C., & Gupta, O. P. . (2018). Performance Analysis of Parallelized Bioinformatics Applications. Asian Journal of Computer Science and Technology, 7(2), 70–74. https://doi.org/10.51983/ajcst-2018.7.2.1881