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Efficient parallelization of Bowtie 2 with OpenCL on GPU
Yan, Yan
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https://hdl.handle.net/2142/92977
Description
- Title
- Efficient parallelization of Bowtie 2 with OpenCL on GPU
- Author(s)
- Yan, Yan
- Issue Date
- 2016-07-21
- Director of Research (if dissertation) or Advisor (if thesis)
- Chen, Deming
- Department of Study
- Electrical & Computer Eng
- Discipline
- Electrical & Computer Engr
- Degree Granting Institution
- University of Illinois at Urbana-Champaign
- Degree Name
- M.S.
- Degree Level
- Thesis
- Date of Ingest
- 2016-11-10T18:35:35Z
- Keyword(s)
- OpenCL
- Bowtie 2
- Sequence Aligner
- Smith-Waterman
- Abstract
- As a crucial and computation-intensive aspect in bioinformatics, sequence alignment has gained considerable attention from researchers and developers. Among all the sequence aligners, Bowtie 2 is one of the most commonly used, due to its high speed and accuracy. This thesis presents a parallel implementation of Bowtie 2 with OpenCL, which is a parallel programming model that is becoming widely known and receiving great interest from researchers in recent years. This OpenCL implementation has high portability on various devices, such as multi-core CPU, GPU, and FPGA. This thesis focuses on an efficient and accurate parallelization on GPU. Optimizations that can be accommodated to any devices have been applied, as well as GPU-related optimizations.
- Graduation Semester
- 2016-08
- Type of Resource
- text
- Permalink
- http://hdl.handle.net/2142/92977
- Copyright and License Information
- Copyright 2016 Yan Yan
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Graduate Dissertations and Theses at Illinois PRIMARY
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