Argonne National Laboratory

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2015

K. Kim and Zavala, V. M., “Algorithmic Innovations and Software for the Dual Decomposition Method Applied to Stochastic Mixed-Integer Programs”, Mathematical Programming Computation, 2015.
H. Fujita, Iskra, K., Balaji, P., and Chien, A. A., “Empirical Comparison of Three Versioning Architectures”, in IEEE Cluster 2015, Chicago, IL, 2015.
K. A. Khan, “Relating Lexicographic Smoothness and Directed Subdifferentiabilty”, 2015.
“Using MPI in High-Performance Computing Services”, 2015.
E. Jung and Kettimuthu, R., “High-Performance Serverless Data Transfer over Wide-Area Networks”, in Parallel and Distributed Processing Symposium Workshop (IPDPSW), Hyderabad, 2015.
M. Si, Pena, A. J., Hammond, J., Balaji, P., and Ishikawa, Y., “Scaling NWChem with Efficient and Portable Asychronous Communication in MPI RMA”, in CCGrid 2015, Shenzhen, 2015.
F. Lin and Leyffer, S., “Oscillation Mitigation in Electric Power Grids via Semidefinite Programming”, 2015.
T. Bicer, Gursoy, D., Kettimuthu, R., De Carlo, F., Agrawal, G., and Foster, I. T., “Rapid Tomographic Image Reconstruction via Large-Scale Parallelization”, in Euro-Par 2015, 2015.
R. B. Gramacy, Gray, G. A., Le Digabel, S., Lee, H. K. H., Ranjan, P., Wells, G., and Wild, S. M., “Rejoinder: Modeling an Augmented Lagrangian for Blackbox Constrained Optimization”, Technometrics, vol. 58, no. 1, pp. 26-29, 2015.

2014

B. F. Smith, “A New Parallel Programming Model for Computer Simulation”, 2014.
W. - K. Liao and Thakur, R., “MPI-IO”, in High-Performance Parallel I/O, CRC Press, 2014, pp. 157-169.
A. J. Pena, Reano, C., Silla, F., Mayo, R., Quintana-Orti, E. S., and Duato, J., “A Complete and Efficient CUDA-Sharing Solution for HPC Clusters”, Parallel Computing, vol. 40, no. 10, pp. 574-588, 2014.
J. P. Faria, Edirisinghe, J. N., Davis, J. J., Disz, T., Hausmann, A., Henry, C. S., Olson, R., Overbeek, R. A., Pusch, G. D., Shukla, M., Vonstein, V., and Wattam, A. R., “Enabling Comparative Modeling of Closely Related Genomes: Example Genus Brucella”, 3 Biotech, 2014.
A. Cherchi, Carril, A. F., Menendez, C., and Zamboni, L., “La Plata Basin Precipitation Variability in Spring: Role of Remote SST Forcing as Simulated by GCM Experiments”, Climate Dynamics, vol. 42, pp. 219-236, 2014.
R. Tudoran, Keahey, K., Riteau, P., Panitkin, S., and Antoniu, G., “Evaluating Streaming Strategies for Event Processing across Infrastructure Clouds”, in CCGrid 2014, Chicago, IL, 2014.
C. G. Petra, Zavala, V. M., Nino-Ruiz, E. D., and Anitescu, M., “Economic Impacts of Wind Covariance Estimation on Power Grid Operations”, in FERC Technical Conference on RT and Market Efficiency through Improved Software, 2014.
J. M. Wozniak, Wilde, M., and Foster, I. T., “Language Features for Scalable Distributed-Memory Dataflow Computing”, in Proc. Data-Flow Models for Extreme Scale Computing at PACT, 2014, Edmonton, Alberta, Canada, 2014.
W. Tang, Bischof, J., Desai, N. L., Mahadik, K., Gerlach, W., Harrison, T., Wilke, A., and Meyer, F., “Workload Characterization for MG-RAST Metagenomic Data Analytics Service in the Cloud”, Big Data (Big Data), 2014 IEEE International Conference. IEEE Xplore, 10.1109/BigData.2014.7004394, pp. 56 - 63, 2014.
A. Gainaru, Bouguerra, M. S., Cappello, F., Snir, M., and Kramer, W., “Navigating the Blue Waters: Online Failure Prediction in the Petascale Era”, 2014.
T. Ilsche, Schuchart, J., Cope, J., Kimpe, D., Jones, T., Knupfer, A., Iskra, K., Ross, R. B., Nagel, W. E., and Poole, S., “Optimizing I/O Forwarding Techniques for Extreme-Scale Event Tracing”, Cluster Comput., vol. 17, pp. 1-18, 2014.