Enhancing parallelism of data-intensive bioinformatics applications

Zheng Xie, Liangxiu Han, Richard Baldock

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Bioinformatics data-resources collected from heterogeneous and distributed sources can contain hundreds of Terra-Bytes and the efficient exploration on these large amounts of data is a critical task to enable scientists to gain new biological insight. In this work, an MPI-based parallel architecture has been designed for enhancing performance of biomedical data intensive applications. The experiment results show the system has achieved super-linear speedup and high scalability.

Original languageEnglish
Title of host publicationProceedings - 8th EUROSIM Congress on Modelling and Simulation, EUROSIM 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages519-524
Number of pages6
ISBN (Print)9780769550732
DOIs
Publication statusPublished - 8 Jan 2015
Event8th EUROSIM Congress on Modelling and Simulation, EUROSIM 2013 - Cardiff, Wales, United Kingdom
Duration: 10 Sep 201313 Sep 2013

Conference

Conference8th EUROSIM Congress on Modelling and Simulation, EUROSIM 2013
CountryUnited Kingdom
CityCardiff, Wales
Period10/09/1313/09/13

Keywords

  • collective/point-to-point communicators
  • data intensive application
  • fine-grain parallelism
  • gene pattern recognition
  • high scalability
  • Message Passing Interface
  • super-linear speedup
  • task/data parallelisms

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