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: Banicescu
Sukhija, N., Malone, B., Srivastava, S., 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
Balasubramaniam, M., Banicescu, I., & Ciorba, F. M. (2014). Scalability Analysis and Evaluation of Divisible Load Scheduling. In Proceddings of The International Conference on Parallel Processing (ICPP-2014). Minneapolis, MN: IEEE Computer Society Press. 37-44.
Mehrotra, R., Srivastava, S., Banicescu, I., & Abdelwahed, S. (2014). An Interaction Balance Based Approach for an Autonomic Performance Management in a Cloud Computing Environment. ARMS-CC Workshop on Adaptive Resource Management and Scheduling for Cloud Computing (ARMS-CC-2014). Paris, France.
Hansen, T., Ciorba, F. M., Maciejewski, A. A., Siegel, H. J., Srivastava, S., & Banicescu, I. (2014). Heuristics for Robust Al- Location of Resources to Parallel Applications with Uncertain Execution Times in Heterogeneous Systems with Uncertain Availability. In Proceedings of the World Conference on Engineering 2014. London, United Kingdom. 536-541.
Balasubramaniam, M., Banicescu, I., & Ciorba, F. M. (2014). Robustness Prediction and Evaluation of Divisible Load Scheduling on Computing Systems with Unpredictable Variations. In Proceedings of the IEEE 13th International Symposium on Parallel and Distributed Computing. Porquerolles, France: IEEE Engineering Society. 170-177.
Sukhija, N., Malone, B., Srivastava, S., 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.
Peer-Reviewed Conference Posters
Sukhija, N., Srivastava, S., 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]
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