A Massively Parallel Algorithm for Cell Classification Using CUDA

A Massively Parallel Algorithm for Cell Classification Using CUDA

Bibliographic Details
Main Author: Schmidt, Samuel
Language:English
Published: University of Cincinnati / OhioLINK 2015
Subjects:
Computer Science
Cell Classification
Parallel Computing
CUDA
Machine Learning
Naive Bayes
CUDA Reduce
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448873851
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-ucin14488738512021-08-03T06:34:09Z A Massively Parallel Algorithm for Cell Classification Using CUDA Schmidt, Samuel Computer Science Cell Classification Parallel Computing CUDA Machine Learning Naive Bayes CUDA Reduce 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. 2015 English text University of Cincinnati / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448873851 http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448873851 unrestricted This thesis or dissertation is protected by copyright: some rights reserved. It is licensed for use under a Creative Commons license. Specific terms and permissions are available from this document's record in the OhioLINK ETD Center.
collection NDLTD
language English
sources NDLTD
topic Computer Science
Cell Classification
Parallel Computing
CUDA
Machine Learning
Naive Bayes
CUDA Reduce
spellingShingle Computer Science
Cell Classification
Parallel Computing
CUDA
Machine Learning
Naive Bayes
CUDA Reduce
Schmidt, Samuel
A Massively Parallel Algorithm for Cell Classification Using CUDA
author Schmidt, Samuel
author_facet Schmidt, Samuel
author_sort Schmidt, Samuel
title A Massively Parallel Algorithm for Cell Classification Using CUDA
title_short A Massively Parallel Algorithm for Cell Classification Using CUDA
title_full A Massively Parallel Algorithm for Cell Classification Using CUDA
title_fullStr A Massively Parallel Algorithm for Cell Classification Using CUDA
title_full_unstemmed A Massively Parallel Algorithm for Cell Classification Using CUDA
title_sort massively parallel algorithm for cell classification using cuda
publisher University of Cincinnati / OhioLINK
publishDate 2015
url http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448873851
work_keys_str_mv AT schmidtsamuel amassivelyparallelalgorithmforcellclassificationusingcuda
AT schmidtsamuel massivelyparallelalgorithmforcellclassificationusingcuda
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