1-800-759-8811

Mr. Yipkei Kwok

Associate Professor of Computer Science

Office: Glaske O129
Phone: (903) 233-3343
Email: YipkeiKwok@letu.edu

Education

  • Ph.D., Univeristy of Texas El Paso (pending)
  • M.S., California State University
  • B.S., Hong Kong Baptist University

Courses Taught

  • Computer Science I
  • Computer Science II
  • Data Structures
  • Analysis of Algorithms

Honors & Awards

  • 2011: International Symposium on Computer Architecture and High Performance Computing, Best Paper Award
  • 2011: IEEE International Conference on Cluster Computing, Student Travel Grant

Experience

2013 Teaching Assistant
University of Texas El Paso
2011-2012 Substitute Instructor
University of Texas El Paso
 2005 Teaching Assistant
University of Texas El Paso
2004 Course Instructor / Teaching Assistant
California State University

Publications

Journal Paper

S. Arunagiri, Y. Kwok, P. J. Teller, R. A. Portillo, and S. R. Seelam, “FAIRIO: a throughput-oriented algorithm for differentiated I/O performance,” Int. J. of Parallel Programming, 40(4):2-33, Aug. 2012.

Refereed Conference Papers

S. Arunagiri, Y. Kwok, P. J. Teller, R. A. Portillo, and S. R. Seelam, “FAIRIO: an algorithm for differentiated I/O performance,” in Proc. 23rd Int. Symp. Comput. Architecture and High Performance Computing, Vitoria, Brazil, Oct. 2011, pp. 88-95. (Best Paper Award)

C. C. Lee and Y. Kwok, “Power-aware data management for mobile devices,” in Proc. 2006 IEEE Conf. Cybernetics and Intelligent Syst., Bangkok, Thailand, June 2006, pp. 1-6.

Thesis

Y. Kwok, “Power-aware direct memory access on embedded systems,” M.S. thesis, Dept. of Math. and
Comput. Sci., California State Univ., East Bay, Hayward, CA, 2005.

Technical Reports

S. Arunagiri, Y. Kwok, P. J. Teller, R. A. Portillo, and S. Seelam, “A heuristic for selecting the cycle length for FAIRIO,” Dept. of Comput. Sci., The Univ. of Texas at El Paso, El Paso, TX, Tech. Rep. UTEP-CS-11-53, Sept. 2011.

Y. Kwok, J. McCartney, S. Arunagiri, and P. J. Teller, “GPGPU programming approach productivity comparisons – CUDA vs. OpenCL vs. PGI,” Dept. of Comput. Sci., The Univ. of Texas at El Paso, El Paso, TX, Tech. Rep., in preparation.

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