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You searched for +publisher:"New Jersey Institute of Technology" +contributor:("Chase Qishi Wu"). Showing records 1 – 5 of 5 total matches.

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New Jersey Institute of Technology

1. Shu, Tong. Performance optimization and energy efficiency of big-data computing workflows.

Degree: PhD, Computer Science, 2017, New Jersey Institute of Technology

  Next-generation e-science is producing colossal amounts of data, now frequently termed as Big Data, on the order of terabyte at present and petabyte or… (more)

Subjects/Keywords: Big data; Scientific workflow; Green computing; Cloud computing; Parallel computing; Map reduce; Computer Sciences

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APA (6th Edition):

Shu, T. (2017). Performance optimization and energy efficiency of big-data computing workflows. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/41

Chicago Manual of Style (16th Edition):

Shu, Tong. “Performance optimization and energy efficiency of big-data computing workflows.” 2017. Doctoral Dissertation, New Jersey Institute of Technology. Accessed April 02, 2020. https://digitalcommons.njit.edu/dissertations/41.

MLA Handbook (7th Edition):

Shu, Tong. “Performance optimization and energy efficiency of big-data computing workflows.” 2017. Web. 02 Apr 2020.

Vancouver:

Shu T. Performance optimization and energy efficiency of big-data computing workflows. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2017. [cited 2020 Apr 02]. Available from: https://digitalcommons.njit.edu/dissertations/41.

Council of Science Editors:

Shu T. Performance optimization and energy efficiency of big-data computing workflows. [Doctoral Dissertation]. New Jersey Institute of Technology; 2017. Available from: https://digitalcommons.njit.edu/dissertations/41


New Jersey Institute of Technology

2. Yun, Daqing. An integrated transport solution to big data movement in high-performance networks.

Degree: PhD, Computer Science, 2016, New Jersey Institute of Technology

  Extreme-scale e-Science applications in various domains such as earth science and high energy physics among multiple national institutions within the U.S. are generating colossal… (more)

Subjects/Keywords: High-performance networking; Big data transfer; Transport profiling; Workflow optimization; Dedicated connections; Stochastic approximation; Computer Sciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yun, D. (2016). An integrated transport solution to big data movement in high-performance networks. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/84

Chicago Manual of Style (16th Edition):

Yun, Daqing. “An integrated transport solution to big data movement in high-performance networks.” 2016. Doctoral Dissertation, New Jersey Institute of Technology. Accessed April 02, 2020. https://digitalcommons.njit.edu/dissertations/84.

MLA Handbook (7th Edition):

Yun, Daqing. “An integrated transport solution to big data movement in high-performance networks.” 2016. Web. 02 Apr 2020.

Vancouver:

Yun D. An integrated transport solution to big data movement in high-performance networks. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2016. [cited 2020 Apr 02]. Available from: https://digitalcommons.njit.edu/dissertations/84.

Council of Science Editors:

Yun D. An integrated transport solution to big data movement in high-performance networks. [Doctoral Dissertation]. New Jersey Institute of Technology; 2016. Available from: https://digitalcommons.njit.edu/dissertations/84


New Jersey Institute of Technology

3. Chu, Dongliang. Accelerating data-intensive scientific visualization and computing through parallelization.

Degree: PhD, Computer Science, 2016, New Jersey Institute of Technology

  Many extreme-scale scientific applications generate colossal amounts of data that require an increasing number of processors for parallel processing. The research in this dissertation… (more)

Subjects/Keywords: Scientific visualization; Scientific computing; Image composition; QR decomposition; Order dependency; Order independence; Computer Sciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chu, D. (2016). Accelerating data-intensive scientific visualization and computing through parallelization. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/94

Chicago Manual of Style (16th Edition):

Chu, Dongliang. “Accelerating data-intensive scientific visualization and computing through parallelization.” 2016. Doctoral Dissertation, New Jersey Institute of Technology. Accessed April 02, 2020. https://digitalcommons.njit.edu/dissertations/94.

MLA Handbook (7th Edition):

Chu, Dongliang. “Accelerating data-intensive scientific visualization and computing through parallelization.” 2016. Web. 02 Apr 2020.

Vancouver:

Chu D. Accelerating data-intensive scientific visualization and computing through parallelization. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2016. [cited 2020 Apr 02]. Available from: https://digitalcommons.njit.edu/dissertations/94.

Council of Science Editors:

Chu D. Accelerating data-intensive scientific visualization and computing through parallelization. [Doctoral Dissertation]. New Jersey Institute of Technology; 2016. Available from: https://digitalcommons.njit.edu/dissertations/94


New Jersey Institute of Technology

4. Wang, Yiran. Matrix completion algorithms with applications in biomedicine, e-commerce and social science.

Degree: MSin Computer Science - (M.S.), Computer Science, 2017, New Jersey Institute of Technology

  This thesis investigates matrix completion algorithms with applications in biomedicine, e-commerce and social science. In general, matrix completion algorithms work well for low rank… (more)

Subjects/Keywords: Matrix completion algorithms; Computer Sciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, Y. (2017). Matrix completion algorithms with applications in biomedicine, e-commerce and social science. (Thesis). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/theses/37

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Yiran. “Matrix completion algorithms with applications in biomedicine, e-commerce and social science.” 2017. Thesis, New Jersey Institute of Technology. Accessed April 02, 2020. https://digitalcommons.njit.edu/theses/37.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Yiran. “Matrix completion algorithms with applications in biomedicine, e-commerce and social science.” 2017. Web. 02 Apr 2020.

Vancouver:

Wang Y. Matrix completion algorithms with applications in biomedicine, e-commerce and social science. [Internet] [Thesis]. New Jersey Institute of Technology; 2017. [cited 2020 Apr 02]. Available from: https://digitalcommons.njit.edu/theses/37.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang Y. Matrix completion algorithms with applications in biomedicine, e-commerce and social science. [Thesis]. New Jersey Institute of Technology; 2017. Available from: https://digitalcommons.njit.edu/theses/37

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


New Jersey Institute of Technology

5. Du, Zongxuan. Data analytics with mapreduce in apache spark and hadoop systems.

Degree: MSin Computer Science - (M.S.), Computer Science, 2016, New Jersey Institute of Technology

  MapReduce comes from a traditional problem solving method: separating a big problem and solving each small parts. With the target of computing larger dataset… (more)

Subjects/Keywords: Data analytics; Mapreduce; Computer Sciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Du, Z. (2016). Data analytics with mapreduce in apache spark and hadoop systems. (Thesis). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/theses/269

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Du, Zongxuan. “Data analytics with mapreduce in apache spark and hadoop systems.” 2016. Thesis, New Jersey Institute of Technology. Accessed April 02, 2020. https://digitalcommons.njit.edu/theses/269.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Du, Zongxuan. “Data analytics with mapreduce in apache spark and hadoop systems.” 2016. Web. 02 Apr 2020.

Vancouver:

Du Z. Data analytics with mapreduce in apache spark and hadoop systems. [Internet] [Thesis]. New Jersey Institute of Technology; 2016. [cited 2020 Apr 02]. Available from: https://digitalcommons.njit.edu/theses/269.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Du Z. Data analytics with mapreduce in apache spark and hadoop systems. [Thesis]. New Jersey Institute of Technology; 2016. Available from: https://digitalcommons.njit.edu/theses/269

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.