2016

• J. Bessac, Constantinescu, E. M., and Anitescu, M., “Stochastic Simulation of Predictive Space-Time Scenarios of Wind Speed Using Observations and Physical Models”, in American Meteorological Society, New Orleans, LA, 2016.
• S. Seo, Amer, A., Balaji, P., Bordage, C., Bosilca, G., Brooks, A., Castello, A., Genet, D., Herault, T., Jindal, P., Kale, L., Krishnamoorthy, S., Lifflander, J., Lu, H., Meneses, E., Snir, M., Sun, Y., and Beckman, P. H., “Argobots: A Lightweight Threading/Tasking Framework”, IEEE Transactions on Parallel and Distributed Systems, 2016.
• M. Dorier, Sisneros, R., Gomez, L. A. Bautist, Peterka, T., Orf, L., Rahmani, L., Antoniu, G., and Bouge, L., “Adaptive Performance-Constrained in Situ Visualization of Atmospheic Simulations”, in Cluster 2016, Taipei, Taiwan, 2016.
• Y. Guo, Archer, C. J., Blocksome, M., Parker, S., Bland, W., Raffenetti, K., and Balaji, P., “Memory Compression Techniques for Network Address Management in MPI”, in International Parallel and Distributed Processing Symposium (IPDPS), 2016.
• N. Wolfe, Carothers, C. D., Mubarak, M., Ross, R. B., and Carns, P. H., “Modeling a Million-Node Slim Fly Network Using Parallel Discrete-Event Simulation”, in SIGSIM PADS'16, Banff, Canada, 2016.
• A. Amer, Lu, H., Wei, Y., Hammond, J., Matsuoka, S., and Balaji, P., “Locking Aspects in Multithreaded MPI Implementations”, 2016.
• O. Marin, Schanen, M., and Fischer, P. F., “Large-Scale Lossy Data Compression Based On A Priori Error Estimator In A Spectral Element Code”, 2016.
• D. Goldberg, Narayanan, S. H. K., Hascoet, L., and Utke, J., “An Optimized Treatment for Algorithmic Differentiation of an Important Glaciological Fixed-Point Problem”, Geoscientific Model Development, vol. 9, pp. 1891-1904, 2016.
• M. Mubarak, Carothers, C. D., Ross, R. B., and Carns, P. H., “Enabling Parallel Simulation of Large-Scale HPC Network Systems”, IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 28, no. 1, pp. 87-100, 2016.
• J. Zhang, Guo, H., and Yuan, X., “Efficient Unsteady Flow Visualization with High-Order Access Dependencies”, Proceedings of IEEE Pacific Visualization Symposium 2016, pp. 82-97, 2016.
• M. Fagan, Schlachter, J., Yoshii, K., Leyffer, S., Palem, K., Snir, M., Wild, S. M., and Enz, C., “Overcoming the Power Wall by Exploiting Application Inexactness and Emerging COTS Architectural Features”, in 20th IEEE International System-on-Chip Conference, Seattle, WA, 2016.
• K. Yoshii, Finkel, H., and Cappello, F., “Benchmarking Under the Hood of OpenCL FPGA Platforms”, in 2nd International Workshop on Heterogeneous High-performance Reconfigurable Computing, Salt Lake City, UT, 2016.
• J. Jalving, Abhyankar, S., Kim, K., Hereld, M., and Zavala, V. M., “A Graph-Based Computational Framework for Simulation and Optimization of Coupled Infrastructure Network”, 2016.
• C. A. L. Haley, “Glitches in Time: Capturing the Underlying Dynamics of Data with Flawed Timing”, Nature, no. 532, pp. 450–451, 2016.
• A. Amer, Matsuoka, S., Pericas, M., Maruyama, N., Taura, K., Yokota, R., and Balaji, P., “Scaling FMM with Data-Driven OpenMP Tasks on Multicore Architectures”, in IWOMP 2016, 2016.
• V. Sokolov, Larson, J., Munson, T., Auld, J., and Karbowski, D., “Platoon Formation Maximization through Centralized Routing and Departure Time Coordination”, 2016.
• J. Yu, Zavala, V. M., and Anitescu, M., “A Scalable Design of Experiments Framework for Sensor Placement”, Journal of Process Control, 2016.
• J. Meng, Seo, S., Balaji, P., Wei, Y., Wang, B., and Feng, S., “SWAP-Assembler 2: Optimization of De Novo Genome Assembler at Extreme Scale”, in 2016 45th International Conference on Parallel Processing (ICPP), 2016.
• H. Guo, He, W., Seo, S., Shen, H., and Peterka, T., “Extreme-Scale Stochastic Particle Tracing for Uncertain Unsteady Flow Analysis”, 2016.
• T. Bosse, Narayanan, S. H. K., and Hascoet, L., “Piecewise Linear AD via Source Transformation”, 2016.