Publications of the HPC²
Publications by HPC centers and institutes include items from past years such as an early publication written by one of the HPC founding investigators, Dr. Joe Thompson. Numerical Grid Generation was originally published by Elsevier Science Publishing Co., Inc. in 1985, and the copyright was transferred to Joe F. Thompson in 1997.
Publications for: Sukhija
Horstemeyer, M., Hughes, J. M., Sukhija, N., Kim, S., Carino, R.L., & Baskes, M. I. (2014). Hierarchical Bridging Between Ab Initio and Atomistic Level Computations: Calibrating the Modified Embedded-Atom Method (MEAM) Potential (Part A). Journal of Materials. Springer US. 67(1), 143-147. DOI:10.1007/s11837-014-1244-0. [Abstract] [Document Site]
Hughes, J. M., Horstemeyer, M., Carino, R.L., Sukhija, N., Kim, S., & Baskes, M. I. (2014). Hierarchical Bridging Between Ab Initio and Atomistic Level Computations: Sensitivity and Uncertainty Analysis for the Modified Embedded-Atom Method (MEAM) Potential (Part B). Journal of Material. Springer US. 67(1), 148-153. DOI:10.1007/s11837-014-1205-7. [Abstract] [Document Site]
Sukhija, N., Malone, B., Banicescu, I., & Ciorba, F. M. (2014). A Learning-based Selection for Portfolio Scheduling of Scientific Applications on Heterogeneous Computing Systems. Journal of Parallel and Cloud Computing. 3(4), 66-81. DOI:10.14511/pcc.2014.030401#sthash.kolV4Znf.dpuf.
Peer-Reviewed Conference Papers
Sukhija, N., Malone, B., Banicescu, I., & Ciorba, F. M. (2014). Portfolio-based Selection of Robust Dynamic Loop Scheduling Algorithms Using Machine Learning. In Proceedings of the IEEE International Parallel and Distributed Processing Symposium - IPDPS 2014 -(ParLearning). Phoenix, AZ.
Sukhija, N., Haupt, T., & Horstemeyer, M. (2014). Enhancing and Supporting Integrated Computational Material Science Engineering Education. proceedings of the 121st American Society for Engineering Education Annual Conference & Exposition (ASEE 2014). Indianapolis, IN.
Peer-Reviewed Conference Posters
Sukhija, N., Ciorba, F. M., Banicescu, I., & Malone, B. (2014). Employing Machine Learning for the Selection of Robust Algorithms for the Dynamic Scheduling of Scientific Applications. ACM Research Poster Session of the Supercomputing conference (SC14) - the International Conference for High Performance Computing, Networking, Storage and Analysis. New Orleans, LA. [Document Site]
Sukhija, N., Smith, R. L., & Breckenridge, W. B., III (2014). Impact of Hybrid Warm Water Direct Cooling Solution on Energy Efficiency of a Data Center. ACM. XSEDE14, Conference of the Extreme Science and Engineering Discovery Environment. July 13 - 18, 2014, Atlanta.
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