Argonne National Laboratory

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.
• 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.
• 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”, 2014.
• J. Chen and Chow, E., “A Newton-Schulz Variant for Improving the Initial Convergence in Matrix Sign Computation”, 2014.
• N. Schunck, McDonnell, J. D., Sarich, J., and Wild, S. M., “Quantification of Uncertainties in Nuclear Density Functional Theory”, 2014.
• A. Amer, Lu, H., Balaji, P., and Matsuoka, S., “MPI+Threads Applications at Scale: A Case Study with Parallel Breadth-First Search”, 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.
• J. M. Wozniak, Sharma, H., Armstrong, T. G., Wilde, M., Almer, J. D., and Foster, I. T., “Big Data Staging with MPI-IO for Interactive X-ray Science”, IEEE/ACM Symposium on Big Data Computing. 2014.
• M. Si, Pena, A. J., Hammond, J., Balaji, P., Takagi, M., and Ishikawa, Y., “Casper: An Asynchronous Progress Model for MPI RMA on Many-Core Architectures”, 2014.
• T. G. Armstrong, Wozniak, J. M., Wilde, M., and Foster, I. T., “Compiler Optimization for Extreme-Scale Scripting”, Cluster, Cloud and Grid Computing (CCGrid). IEEE, Chicago, IL, pp. 571-574, 2014.
• D. Ghosh, Constantinescu, E. M., and Brown, J., “Scalable Nonlinear Compact Schemes”, ANL/MCS-TM-340, 2014.
• M. Mubarak, Carothers, C. D., Ross, R. B., and Carns, P. H., “Using Massively Parallel Simulation for MPI Collective Communication Modeling in Extreme-Scale Networks”, in WSC'14 Proceedings of the 2014 Winter Simulation Conference, Savannah, Georgia, 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.
• E. Jung and Kettimuthu, R., “Towards Addressing the Challenges of Data-Intensive Computing on the Cloud”, 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. K. Madduri, Sulakhe, D., Lacinski, L., Liu, B., Rodriguez, A., Chard, K., Dave, U. J., and Foster, I. T., “Experiences Building Globus Genomics: A Next-Generation Sequencing Analysis Service using Galaxy, Globus, and Amazon Web Services”, Concurrency and Computation: Practice & Experience, 2014.
• K. Keahey and Parashar, M., “Enabling On-Demand Science via Cloud Computing”, IEEE Transactions on cloud Computing, vol. 1, no. 1, pp. 21-27, 2014.
• S. Di, Kondo, D., and Wang, C. - L., “Optimization of Composite Cloud Service Processing with Virtual Machines”, IEEE Transactions on Computers, 2014.