2016

• T. Bosse, Narayanan, S. H. K., and Hascoet, L., “Piecewise Linear AD via Source Transformation”, 2016.
• R. Liu, Guo, H., and Yuan, X., “A Bottom-Up Scheme for User-Defined Feature Comparison in Ensemble Data”, in SA'15 SIGGRAPH Asia, Kobe, Japan, 2016.
• S. Snyder, Carns, P. H., Harms, K., Latham, R., and Ross, R., “Performance Evaluation of Darshan 3.0.0 on the Cray XC30”, Argonne National Laboratory, Lemont, 2016.
• A. Tripathi, McNulty, I., Munson, T., and Wild, S. M., “Single-View Phase Retrieval of an Extended Sample by Exploiting Edge Feature Detection and Sparsity”, Optics Express, vol. 24, no. 21, pp. 24719-24738, 2016.
• X. Zhao, Balaji, P., and Gropp, W. D., “Scalability Challenges in Current MPI One-Sided Implementations”, in 15th International Symposium on Parallel and Distributed Computing (ISPDC), FuZhou, China, 2016.
• S. H. K. Narayanan and Hascoet, L., “Interfacing OpenAD and Tapenade”, 2016.
• T. Bosse, “Augmenting the One-Shot Framework by Additional Constraints”, Optimization Methods & Software, vol. 17, no. 1, pp. 1055-6788, 2016.
• M. Dorier, Mubarak, M., Ross, R., Li, J. K., Carothers, C. D., and Ma, K. - L., “Evaluation of Topology-Aware Broadcast Algorithms for Dragonfly Networks”, in 2016 IEEE International Conference on Cluster Computing, Taipei, Taiwan, 2016.
• C. Ross, Mubarak, M., Jenkins, J., Carns, P. H., Carothers, C. D., Ross, R. B., Tang, W., Gerlach, W., and Meyer, F., “A Case Study in Using Discrete-Event Simulation to Improve the Scalability of MG-RAST”, in SIGSIM-PADS '16, Banff, Canada, 2016.
• W. E. Bethel, Greenwald, M., van Dam, K. K., Parashar, M., Wild, S. M., and Wiley, H. S., “Management, Analysis, and Visualization of Experimental and Observational Data - The Convergence of Data and Computing”, in IEEE 12th International Conference on e-Science, 2016.
• P. Guhur, Cappello, F., Peterka, T., and Abou-Kandil, H., “Using Error Estimations for Detecting Silent Data Corruption in Numerical Integration Solvers”, 2016.
• K. Kulshreshtha and Narayanan, S. H. K., “Interfacing Source Transformation AD with Operator Overloading Libraries”, 2016.
• D. Ellsworth, Patki, T., Perarnau, S., Seo, S., Amer, A., Zounmevo, J. A., Gupta, R., Yoshii, K., Hoffman, H., Malony, A., Schulz, M., and Beckman, P. H., “Systemwide Power Management with Argo”, in Parallel and Distributed Processing Symposium Workshops, 2016.
• R. Liu, Guo, H., Zhang, J., and Yuan, X., “Comparative Visualization of Vector Field Ensembles Based on Longest Common Subsequence”, Proceedings of IEEE Pacific Visualization Symposium 2016, pp. 96-103, 2016.
• A. Castello, Pena, A. J., Seo, S., Mayo, R., Balaji, P., and Quintana-Orti, E. S., “A Review of Lightweight Thread Approaches for High Performance Computing”, in IEEE Cluster 2016, 2016.
• N. Li, Constantinescu, E. M., Birge, J. R., Hedman, K. W., and Botterud, A., “Flexible Operation of Batteries in Power System Scheduling with Renewable Energy”, in Power and Energy Society General Meeting (PESGM), 2016.
• S. H. K. Narayanan and Hovland, P. D., “Calculating Reuse Distance from Source Code”, 2016.
• S. H. K. Narayanan, Goldberg, N., Heimbach, P., Marshall, D., Price, S., and Wunsch, C., “Algorithmic Differentiation for Climate Science”, 2016.
• J. Larson and Wild, S. M., “Asynchronously Parallel Optimization Solver for Finding Multiple Minima”, 2016.
• D. Dai, Carns, P. H., Ross, R., Jenkins, J., Muirhead, N., and Chen, Y., “An Asynchronous Traversal Engine for Graph-Based Rich Metadata Management”, Parallel Computing, vol. 58, pp. 140-156, 2016.