Research

Research Interests

  • High-Performance Computing
  • Scientific Computing
  • Signal and Image Processing

Selected Publication

  1. V.S. Maringanti, B. Imana, and P. Yoon. GPU-accelerated VLSI routing using group Steiner trees. The Journal of Computational Science, 8:16–19, 2017.
  2. L. Cheng, H. Cho, and P. Yoon. An accelerated procedure for hypergraph coarsening on the GPU, in Proceedings of the 19th IEEE High Performance Extreme Computing Conference, pp. 1–7, Boston, MA, September 2015.
  3. B. Imana and P. Yoon. A scalable parallel bisection algorithm for symmetric tridiagonal eigenvalue problem, in Proceedings of the 21st International Conference on Parallel and Distributed Processing Techniques and Applications, pp. 618–624, Las Vegas, NV, July 2015.
  4. P. Bhandari, R. Chandrashekhar, and P. Yoon. Shuffled frog leaping algorithm for 0/1 knapsack problem on the GPU, in Proceedings of the 13th International Conference on Scientific Computing, pp. 16–22, Las Vegas, NV, July 2015.
  5. H. Cho and P. Yoon. A memory-efficient algorithm for large-scale symmetric tridiagonal eigenvalue problem on multi-GPU systems, Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, pages 568-573, 2014.
  6. L. Cheng, H. Cho, and P. Yoon. GPU accelerated vessel segmentation using Laplacian eigenmaps, Proceedings of the 12th International Conference on Parallel and Distributed Computing and Networks, pages 177-184, 2014.
  7. L. Cheng, H. Cho, P. Yoon, and J. Zhao. An efficient out-of-core implementation of block Cholesky decomposition on a multi-GPU system, Proceedings of the 24th International Conference on Parallel and Distributed Computing and Systems, pages 1-7, 2012.
  8. C.M. Coviello, L.H. Sibul, and P. Yoon. Source separation and tracking for time varying systems. IEEE Transactions on Aerospace and Electronic Systems, 44:1198-1214, 2008.
  9. H. Rushmeier, J. Dykes, J. Dill, and P. Yoon. Revisiting the need for formal education in visualization, IEEE Computer Graphics and Applications, 27:12-16, 2007.
  10. A. Williams and P. Yoon. Content-based image retrieval using joint correlograms. Multimedia Tools and Applications, 34:239-248, 2007.
  11. C.M. Coviello, L.H. Sibul, and P. Yoon. A stable, adaptive method for joint blind source separation and angle estimation in a non-stationary environment. Proceedings of the 39th Conference on Information Sciences and Systems, pages 1101–1105, 2005.
  12. C.M. Coviello, L.H. Sibul, and P. Yoon. Multipath DOA tracking using complete orthogonal decompositions. Proceedings of the 38th Conference on Information Sciences and Systems, pages 1481–1486, 2004.
  13. M. Emilio, A. Williams, and P. Yoon. A path search algorithm for independent component analysis used in blind source separation. Proceedings of the 18th International Congress of Acoustics, pages 325–326, 2004.
  14. C.M. Coviello, L.H. Sibul, and P. Yoon. Algebraic DOA estimation and tracking using ULV decomposition. Proceedings of the International Conference on Neural Networks and Signal Processing, pages 1310–1313, 2003.
  15. T. Ning and P. Yoon. Independent component analysis of multichannel hippocampal EEG during REM sleep. Proceedings of the 5th International Conference on Signal and Image Processing, pages 513–516, 2003.
  16. L.H. Sibul and P. Yoon. An efficient preprocessor for nonlinear adaptive algorithms. Proceedings of the 6th International Conference on Signal Processing, pages 1617–1620, 2002.
  17. L.H. Sibul and P. Yoon. ULVD preprocessor for linear and nonlinear adaptive signal processing, Proceedings of Ocean 2002 Conference, pages 2201-2204, 2002.
  18. L.H. Sibul and P. Yoon. An efficient array processor for accurate downdating of ULV decomposition. Proceedings of SPIE Advanced Signal Processing Algorithms, Architectures, and Implementations XI, volume 4474, pages 262–272, 2001.
  19. J.L. Barlow and P. Yoon. An efficient rank detection procedure for modifying the ULV decomposition. BIT, 38:781–801, 1998.
  20. J.L. Barlow and P. Yoon. Solving recursive TLS problems using the rank-revealing ULV decomposition. In S. Van Huffel, editor, Recent Advances in Total Least Squares Techniques and Error-in-Variables Modeling, pages 117–126, SIAM, Philadelphia, PA, 1997.
  21. J.L. Barlow and P. Yoon. Modifying the singular value decomposition on the Connection Machine. International Journal of High Speed Computing, 8:145–170, 1996.
  22. J.L. Barlow, P. Yoon and H. Zha. An algorithm and a stability theory for downdating the ULV decomposition. BIT, 36:14–40, 1996.
  23. J.L. Barlow, P. Yoon, and H. Zha. Stable chasing algorithms for modifying complete and partial singular value decompositions. Proceedings of SPIE Advanced Signal Processing Algorithms, Architectures, and Implementations IV, volume 2027, pages 455–466, 1993.

Grants and Awards

  1. Core Fulbright Scholar Award, 2018-2019. “High-Performance Computing for All,” Jimma University, Jimma, Ethiopia.
  2. Best Paper Award. “An efficient out-of-core implementation of block Cholesky decomposition on a multi-GPU system,” The 24th International Conference on Parallel and Distributed Computing and Systems, Las Vegas, NV, November 2012.
  3. CUDA Education Center Award, Nvidia Research, 2012-2015.
  4. NASA EPSCoR Core Funding Grants. 2002-2006.