Staff information

Khushbu Agarwal
Data Intensive Sci Computing
Scientist
Pacific Northwest National Laboratory
PO Box 999
MSIN: K7-90
Richland, WA 99352
509/372-4169
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Research Interests
- Data Mining, High performance Computing, GPUs
Education and Credentials
- M.S. Dept of Computer Science and Engineering. The Ohio state University. Columbus OH - Dec 2007
- B.E. Dept of Computer Science and Engineering. Birla Institute of Technology. Mesra - Jun 2005
Affiliations and Professional Service
- IEEE Women in Engineering
Awards and Recognitions
- University Fellow, The Ohio State University 2005-2006
PNNL Publications
2013
- Pan W, J Bao, C Lo, C Lai, K Agarwal, BJ Koeppel, and MA Khaleel. 2013. "A general approach to develop reduced order models for simulation of solid oxide fuel cell stacks." Journal of Power Sources 232:139-151. doi:10.1016/j.jpowsour.2013.01.057
2011
- Agarwal K, JM Chase, KL Schuchardt, TD Scheibe, BJ Palmer, and TO Elsethagen. 2011. "Design and Implementation of "Many Parallel Task" Hybrid Subsurface Model." In MTAGS '11: Proceedings of the 2011 ACM International Workshop on Many Task Computing on Grids and Supercomputers, November 12-18, 2011, Seattle, Washington, pp. 25-32. Association for Computing Machinery, New York, NY. doi:10.1145/2132876.2132884
- Yin J, K Agarwal, MK Krishnan, D Chavarría-Miranda, I Gorton, and TG Epperly. 2011. "Implementing High Performance Remote Method Invocation in CCA." In IEEE International Conference on Cluster Computing (CLUSTER 2011), September 26-30, 2011, Austin, Texas, pp. 547-551. IEEE Computer Society, Los Alamitos, CA. doi:10.1109/CLUSTER.2011.78
2010
- Krishnamoorthy S, and K Agarwal. 2010. "Scalable Communication Trace Compression." In The 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, pp. 408-417. Institute of Electrical and Electronics Engineers, Piscataway, NJ. doi:10.1109/CCGRID.2010.111
- Schuchardt KL, K Agarwal, JM Chase, ML Rockhold, VL Freedman, TO Elsethagen, TD Scheibe, G Chin, Jr, and C Sivaramakrishnan. 2010. "Task parallel sensitivity analysis and parameter estimation of groundwater simulations through the SALSSA framework." In Proceedings of the 2010 Scientific Discovery through Advanced Computing (SciDAC) Conference, July 11-15, 2010, Cattanooga, Tennessee, pp. 233-237. Oak Ridge National Laboratory, Oak Ridge, TN.
- Shah AR, K Agarwal, ES Baker, M Singhal, AM Mayampurath, YM Ibrahim, LJ Kangas, ME Monroe, R Zhao, ME Belov, GA Anderson, and RD Smith. 2010. "Machine learning based prediction for peptide drift times in ion mobility spectrometry ." Bioinformatics 26(13):1601-1607. doi:10.1093/bioinformatics/btq245
