Argonne National Laboratory

2013

• S. Di and Cappello, F., “GloudSim: Google Trace based Cloud Simulator with Virtual Machines”, 2013.
• Z. Zhang, Katz, D. S., Wilde, M., Wozniak, J. M., and Foster, I. T., “MTC Envelope: Defining the Capability of Large Scale Computers in the Context of Parallel Scripting Applications”, in HPDC'13, 2013.
• L. A. Bautist Gomez and Cappello, F., “Detecting Silent Data Corruption through Data Dynamic Monitoring for Scientific Applications”, in 19th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Orlando, FL, 2013.
• J. M. Wozniak, Peterka, T., Armstrong, T. G., Dinan, J., Lusk, E. L., Wilde, M., and Foster, I. T., “Dataflow Coordination of Data-Parallel Tasks via MPI 3.0”, in EuroMPI'13, 2013.
• F. Cappello, Bouteiller, A., Herault, T., and Robert, Y., “Multi-Criteria Checkpointing Strategies: Optimizing Response-Time Versus Resource Utilization”, in Europar 2013, Aachen, 2013.
• K. Rupp, Tillet, P., Smith, B. F., Grasser, T., and Jungel, A., “A Note on the GPU Acceleratoin of Eigenvalue Computations”, in ICNAAM 11th International Conference of Numerical Analysis and Applied Mathematics, Rhodes, Greece, 2013.
• X. Zhao, Balaji, P., Gropp, W. D., and Thakur, R., “Optimization Strategies for MPI-Interoperable Active Messages”, in 13th IEEE International Conference on Scalable Computing and Communication, Chengdu, China, 2013.
• S. Wallace, Vishwanath, V., Coghlan, S. M., Tramm, J. R., Lan, Z., and Papka, M. E., “Application Power Profiling on IBM Blue Gene/Q”, in Cluster Computing (CLUSTER), 2013 IEEE International Conference, Indianapolis, IN, 2013.
• J. Brown and Brune, P., “Low-Rank Quasi-Newton Updates for Robust Jacobian Lagging in Newton Methods”, 2013.
• O. Roderick and Anitescu, M., “Use of Multi-Fidelity Training Data in Uncertainty Analysis of Nuclear Engineering Applications”, in American Nuclear Society 2013; Atlanta, Georgia, 2013.
• A. Vishnu, Krishnan, M., and Balaji, P., “Dynamic Time-Variant Connection Management for PGAS Models on InfiniBand”, in The Third International Workshop on Accelerators and Hybrid Exascale System, IEEE International Parallel and Distributed Processing Symposium, Boston, MA, 2013.
• R. Jain and Tautges, T. J., “PostBL: Post-Mesh Boundary Layer Mesh Generation Tool”, in 22nd International Meshing Roundtable, Orlando, FL, 2013.
• M. Lubin, Hall, J. A. Julian, Petra, C. G., and Anitescu, M., “Parallel Distributed-Memory Simplex for Large-Scale Stochastic LP Problems”, Computational Optimization and Applications, vol. 55, no. 3, pp. 571-596, 2013.
• C. Reano, Mayo, R., Quintana-Orti, E. S., Silla, F., Duato, J., and Pena, A. J., “Influence of infiniband FDR on the performance of remote GPU virtualization.”, in IEEE Cluster 2013, Indianapolis, IN, 2013.
• P. Balaprakash, Rupp, K., Mametjanov, A., Gramacy, R. B., Hovland, P. D., and Wild, S. M., “Empirical Performance Modeling of GPU Kernels Using Active Learning”, in International Conference on Parallel Computing - ParCo2013 , Munich, Germany , 2013.
• J. M. Wozniak, Armstrong, T. G., Wilde, M., Katz, D. S., Lusk, E. L., and Foster, I. T., “A Model for Tracing and Debugging Large-Scale Task-Parallel Programs with MPE”, in Workshop on Leveraging Abstractions and Semantics in High-performance Computing, 2013.
• V. M. Zavala, “Inference of Building Occupancy Signals Using Moving Horizon Estimation and Fourier Regularization”, Journal of Process Control, 2013.
• D. Ozog, Hammond, J. R., Dinan, J., Balaji, P., Shende, S., and Malony, A. D., “Inspector-Executor Load Balancing Algorithms for Block-Sparse Tensor Contractions”, in 2013 International Conference on Parallel Processing, Lyon, France, 2013.
• A. Tasora, Anitescu, M., Negrini, S., and Negrut, D., “A Compliant Visco-Plastic Particle Contact Model Based on Differential Variational Inequalities”, International Journal of Non-Linear Mechanics, vol. 53, 2013.
• B. Nicolae and Cappello, F., “Al-Ckpt: Leveraging Memory Access Patterns for Adaptive Asynchronous Incremental Checkpointing”, in HPDC'13, New York City, 2013.