# Research

#### Research Interests

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

#### Selected Publication

- 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. - 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. - 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. - 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. - 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. - L. Cheng, H. Cho, and P. Yoon. GPU accelerated vessel segmentation using Laplacian eigenmaps,
*Proceedings of the 12*, pages 177-184, 2014.^{th}International Conference on Parallel and Distributed Computing and Networks - 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 24*, pages 1-7, 2012.^{th}International Conference on Parallel and Distributed Computing and Systems - 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. - 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. - A. Williams and P. Yoon. Content-based image retrieval using joint correlograms.
*Multimedia Tools and Applications*, 34:239-248, 2007. - 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 39*pages 1101–1105, 2005.^{th}Conference on Information Sciences and Systems, - C.M. Coviello, L.H. Sibul, and P. Yoon. Multipath DOA tracking using complete orthogonal decompositions.
*Proceedings of the 38*pages 1481–1486, 2004.^{th}Conference on Information Sciences and Systems, - M. Emilio, A. Williams, and P. Yoon. A path search algorithm for independent component analysis used in blind source separation.
*Proceedings of the 18*pages 325–326, 2004.^{th}International Congress of Acoustics, - 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. - T. Ning and P. Yoon. Independent component analysis of multichannel hippocampal EEG during REM sleep.
*Proceedings of the 5*pages 513–516, 2003.^{th}International Conference on Signal and Image Processing, - L.H. Sibul and P. Yoon. An efficient preprocessor for nonlinear adaptive algorithms.
*Proceedings of the 6*, pages 1617–1620, 2002.^{th}International Conference on Signal Processing - L.H. Sibul and P. Yoon. ULVD preprocessor for linear and nonlinear adaptive signal processing,
*Proceedings of Ocean 2002 Conference*, pages 2201-2204, 2002. - 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. - J.L. Barlow and P. Yoon. An efficient rank detection procedure for modifying the ULV decomposition.
*BIT*, 38:781–801, 1998. - 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. - 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. - J.L. Barlow, P. Yoon and H. Zha. An algorithm and a stability theory for downdating the ULV decomposition.
*BIT*, 36:14–40, 1996. - 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

- Core Fulbright Scholar Award, 2018-2019. “High-Performance Computing for All,” Jimma University, Jimma, Ethiopia.
- 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.
- CUDA Education Center Award, Nvidia Research, 2012-2015.
- NASA EPSCoR Core Funding Grants. 2002-2006.