2014

• J. R. Tramm, Siegel, A. R., Islam, T., and Schulz, M., “XSBENCH - The Development and Verification of A Performance Abstraction for Monte Carlo Reactor Analysis”, 2014.
• B. Behzad, Byna, S., Wild, S. M., Prabhat, A., and Snir, M., “Improving Parallel I/O Autotuning with Performance Modeling”, in High-Performance Parallel and Distributed Computing (HPDC14), Vancouver, Canada, 2014.
• M. Dorier, Antoniu, G., Ross, R. B., Kimpe, D., and Ibrahim, S., “CALCioM: Mitigating I/O Interference in HPC Systems through Cross-Application Coordination”, in 28th IEEE International Parallel & Distributed Processing Symposium, Phoenix, AZ, 2014.
• J. Alagarsamy, Seetharaman, R., Sivanandham, C., Krishnan, K. Chella, and Overbeek, R. A., “Connecting Sequence Data to Virulence Factors in Streptococcus Genomes”, ANL/MCS-TM-342, 2014.
• J. A. Zounmevo, Zhao, X., Balaji, P., Gropp, W. D., and Afsahi, A., “Nonblocking Epochs in MPI One-Sided Communication”, in SC'14, New Orleans, LA, 2014.
• J. Brown, Knepley, M. G., and Smith, B. F., “Run-Time Extensibility and Librarization of Simulation Software”, Computing in Science and Engineering, 2014.
• W. Tang, Jenkins, J., Meyer, F., Ross, R. B., Kettimuthu, R., Winkler, L., Yang, X., Lehman, T., and Desai, N. L., “Data-Aware Resource Scheduling for Multicloud Workflows: A Fine-Grained Simulation Approach”, Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference. IEEE Xplore, Singapore, pp. 887 - 892, 2014.
• S. Di and Cappello, F., “GloudSim: Google Trace Based Cloud Simulator with Virtual Machines”, 2014.
• L. Hascoet, Schanen, M., and Utke, J., “Adjoining Basic Idioms of MPI One-Sided Communications and Efficiency Implications”, 2014.
• J. Jenkins, Zou, X., Tang, H., Kimpe, D., Ross, R. B., and Samatova, N. F., “Parallel Data Layout Optimization of Scientific Data through Access-driven Replication”. 2014.
• M. C. Burkhart, Heo, Y., and Zavala, V. M., “Measurement and Verification of Building Systems Under Uncertain Data: A Gaussian Process Modeling Approach”, Energy and Buildings, vol. 75, pp. 189-198, 2014.
• I. Bilionis, Constantinescu, E. M., and Anitescu, M., “Data-Driven Model for Solar Irradiation Based on Satellite Observations”, Solar Energy, vol. 110, pp. 22-38, 2014.
• A. J. Pena and Balaji, P., “Toward the Efficient Use of Multiple Explicitly Managed Memory Subsystems”, 2014.
• J. C. Phillips, Stone, J. E., Vandivort, K. L., Armstrong, T. G., Wozniak, J. M., Wilde, M., and Schulten, K., “Petascale Tcl with NAMD, VMD, and Swift/T”, in HPTCDL '14, New Orleans, LA, 2014.
• L. Liang and Chen, L., “Nonlinear Phase Field Model for Electrodeposition in Electrochemical systems”, Applied Physics Letters, vol. 105, 2014.
• L. A. Bautist Gomez, Cappello, F., Carro, L., Debardeleben, N. A., Fang, B., Gurumurthi, S., Pattabiraman, K., Rech, R., and M. Reorda, S., “GPGPUs: How to Combine High Computational Power with High Reliability”, in 2014 Design Automation and Test in Europe Conference and Exhibition, Dresden, Germany, 2014.
• S. M. Wild, “Solving Derivative-Free Nonlinear Least Squares Problems with POUNDERS”, 2014.
• T. Peterka, Morozov, D., and Phillips, C. L., “High-Performance Computation of Distributed-Memory Parallel 3D Voronoi and Delaunay Tessellation”, in SC'14, New Orleans, LA, 2014.
• A. J. Pena and Balaji, P., “A Framework for Tracking Memory Accesses in Scientific Applications”, in 43rd International Conference on Parallel Processing Workshops, Minneapolis, MN, 2014.
• I. Bilionis, Drewniak, B. A., and Constantinescu, E. M., “Crop Physiology Calibration in CLM”, Geoscientific Model Development, pp. 6733-6771, 2014.