2014

• D. Zhao, Zhang, Z., Zhou, X., Li, T., Kimpe, D., Carns, P. H., Ross, R. B., and Raicu, I., “FusionFS: Towards Supporting Data-Intensive Scientific Applications on Extreme-Scale High-Performance Computing Systems”, in 2014 IEEE international Conference on Big Data, 2014.
• J. R. Hammond, Schafer, A., and Latham, R., “To INT_MAX…and beyond! Exploring Large-Count Support in MPI”, in 2014 Workshop on Exascale MPI, 2014.
• R. Jain and Tautges, T. J., “Generating Unstructured Nuclear Reactor Core Meshes in Parallel”, in 23rd International Meshing Roundtable, 2014.
• J. R. Tramm and Siegel, A. R., “Performance Analysis of a Reduced Data Movement Algorithm for Neutron Cross Section Data in Monte Carlo Simulations”, 2014.
• S. Di, Kondo, D., and Cappello, F., “Characterizing and Modeling Cloud Applications/Jobs on a Google Data Center”, Journal of Supercomputing, vol. 69, pp. 139-160, 2014.
• R. Mak, Lerotic, M., Fleckenstein, H., Vogt, S., Wild, S. M., Leyffer, S., Sheynkin, Y., and Jacobsen, C., “Non-Negative Matrix Analysis for Effective Feature Extraction in X-Ray Spectromicroscopy”, Faraday Discussions, vol. 171, 2014.
• E. Larsson, Sennton, G., and Larson, J., “The Vehicle Platooning Problem: Computational Complexity and Heuristics”, 2014.
• K. Lu, Shen, H. - W., and Peterka, T., “Scalable Computation of Stream Surfaces on Large Scale Vector Fields”, in SC'14, New Orleans, LA, 2014.
• M. Si, Pena, A. J., Balaji, P., Takagi, M., and Ishikawa, Y., “MT-MPI: Multithreaded MPI for Many-core Environments”, International Supercomputing Conference ISC'14. ACM, pp. 125-134, 2014.
• E. Jung, Kettimuthu, R., and Vishwanath, V., “Cluster-to-Cluster Data Transfer with Data Compression over Wide-Area Networks”, Journal of Parallel and Distributed Computing, 2014.
• H. Lu, Tan, G., Chen, M., and Sung, N., “Reducing Communication in Parallel Breadth-First Search on Distributed Memory Systems”, 2014.
• S. Abhyankar and Flueck, A. J., “Multiphysics Solvers for Implicitly Coupled Electromechanical and Electromagnetic Transients Simulation”, in IEEE Transmission and Distribution Conference and Exposition , Chicago, IL , 2014.
• B. Nicolae, Riteau, P., and Keahey, K., “Bursting the Cloud Data Bubble: Towards Transparent Storage Elasticity in IaaS Clouds”, in 28th IEEE International Parallel & Distributed Processing Symposium, Phoenix, AZ, 2014.
• J. Chen, “Data Structure and Algorithms for Recursively Low-Rank Compressed Matrices”, 2014.
• S. Di, Gomez, L. A. Bautist, and Cappello, F., “Optimization of Multi-level Checkpoint Model with Uncertain Execution Scales”, 2014.
• S. Wu, Chen, H., Di, S., Zhou, B., Xie, Z., Jin, H., and Shi, X., “Synchronization-Aware Scheduling for Virtual Clusters in Cloud”, IEEE Trransactions on Parallel and Distributed Systems, 2014.
• E. Jung, Vishwanath, V., and Kettimuthu, R., “Distributed Multipath Routing Algorithm for Data Center Networks”, 2014.
• V. S. Mahadevan, Merzari, E., Tautges, T. J., Jain, R., Obabko, A. V., Smith, M., and Fischer, P. F., “High-Resolution Coupled Physics Solvers for Analysing Fine-Scale Nuclear Reactor Design Problems”, Philos. Trans. A Math. Phys. eng. Sci., vol. 6, no. 3, 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.
• J. Huchette, Lubin, M., and Petra, C. G., “Parallel Algebraic Modeling for Stochastic Optimization”, HPTCDL '14. IEEE, New Orleans, LA, pp. 29-35, 2014.