Computational Challenges of Next Generation Sequencing Pipelines Using Heterogeneous Systems

Ernst Houtgast, Vlad Sima, Koen Bertels, Zaid Al-Ars

Research output: Contribution to conferenceAbstractScientific

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Abstract

We are rapidly entering the era of genomics. The dramatic cost reduction of DNA sequencing due to the introduction of Next Generation Sequencing (NGS) techniques has resulted in an exponential growth of genetics data. The amount of data generated, and its associated processing into useful information, poses serious computational challenges. Here, we give a brief introduction of NGS, show a typical NGS processing pipeline, and show the associated challenges from a computational perspective. A case study is presented where one component of the NGS processing pipeline is accelerated: BWA-MEM, the de-facto industry-standard for the mapping stage. This is a first step in achieving a fully heterogeneously accelerated NGS pipeline.
Original languageEnglish
Pages1-4
Number of pages4
Publication statusPublished - 2016
Event12th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems - Fiuggi, Italy
Duration: 10 Jul 201616 Jul 2016

Other

Other12th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems
Abbreviated titleACACES 2016
Country/TerritoryItaly
CityFiuggi
Period10/07/1616/07/16

Keywords

  • BWA-MEM
  • FPGA
  • GPU
  • Next Generation Sequencing

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