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Gene-EnvironmentInteraction Analysis UsingGraphic Cards
KTH, School of Computer Science and Communication (CSC), High Performance Computing and Visualization (HPCViz).
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Analys av genmiljöinteraktion med använding avgrafikkort (Swedish)
Abstract [en]

Genome-wide association studies(GWAS) are used to find associations betweengenetic markers and diseases. One part of GWAS is to study interactions be-tween markers which can play an important role in the risk for the disease. Thesearch for interactions can be computationally intensive. The aim of this thesiswas to improve the performance of software used for gene-environment interac-tion by using parallel programming techniques on graphical processors. A studyof the new programs performance, speedup and efficiency was made using mul-tiple simulated datasets. The program shows significantly better performancecompared with the older program.

Place, publisher, year, edition, pages
2015. , 119 p.
Keyword [en]
HPC, high performance computing, CUDA, GPU, GWAS, gene-environment interaction, interaction
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-163215OAI: oai:DiVA.org:kth-163215DiVA: diva2:799271
Educational program
Master of Science - Machine Learning
Supervisors
Examiners
Available from: 2015-04-21 Created: 2015-03-30 Last updated: 2015-04-21Bibliographically approved

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fulltext(6121 kB)137 downloads
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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