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A Massively Parallel Algorithm for Cell Classification Using CUDA

Schmidt, Samuel
http://orcid.org/0000-0003-2622-8719
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448873851

Abstract Details

2015, MS, University of Cincinnati, Engineering and Applied Science: Computer Science.
In Bioinformatics, cell classification is the act of separating human cells into different groups based on their RNA-seq expression levels. These data can be quite large, as there are about 20,000 known human genes. Even relatively small datasets (<1000 cell samples) can contains millions of values. Computations and classifications on this data force a choice: speed or thoroughness? Many scientists today choose speed, meaning they must reduce the dataset through feature selection or some similar approach. Others may use complex computing systems to achieve thoroughness, but the cost of these systems is high. NVIDIA CUDA allows the average researcher to perform cell classification without making this choice. CUDA, running on specialized GPUs, gives desktop computers the power of a large computing system and eliminates the need to reduce the complexity of the dataset.
Fred Annexstein, Ph.D. (Committee Chair)
Kenneth Berman, Ph.D. (Committee Member)
Anca Ralescu, Ph.D. (Committee Member)
43 p.
Computer Science
Cell Classification; Parallel Computing; CUDA; Machine Learning; Naive Bayes; CUDA Reduce

Recommended Citations

Citations

  • Schmidt, S. (2015). A Massively Parallel Algorithm for Cell Classification Using CUDA [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448873851

    APA Style (7th edition)

  • Schmidt, Samuel. A Massively Parallel Algorithm for Cell Classification Using CUDA. 2015. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448873851.

    MLA Style (8th edition)

  • Schmidt, Samuel. "A Massively Parallel Algorithm for Cell Classification Using CUDA." Master's thesis, University of Cincinnati, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448873851

    Chicago Manual of Style (17th edition)

ucin1448873851
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© 2015, some rights reserved.Creative Commons License A Massively Parallel Algorithm for Cell Classification Using CUDA by Samuel Schmidt is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Cincinnati and OhioLINK.