Argonne National Laboratory

2013

• J. Jenkins, J. Dinan, P. Balaji, T. Peterka, N. F. Samatova, and R. Thakur, “Processing MPI Derived Datatypes on Noncontiguous GPU-Resident Data”. 2013.
• P. K. Romano, A. R. Siegel, B. Forget, and K. Smith, “Data Decomposition of Monte Carlo Particle Transport Simulations via Tally Servers”, Journal of Computational Physics, vol. 252, pp. 20-36, 2013.
• S. M. Aithal and S. M. Wild, “Development of a Fast, Robust Numerical Tool for The Design, Optimization and Control of IC Engines”, in SAE 11th International Conference on Engines & Vehicles, Capri, Italy, 2013.
• P. Balaprakash, R. B. Gramacy, and S. M. Wild, “Active-Learning-Based Surrogate Models for Empirical Performance Tuning”, in IEEE Cluster 2013, Indianapolis, IN, 2013.
• J. Walker, E. Merzari, A. V. Obabko, P. F. Fischer, and A. R. Siegel, “Accurate Prediction of the Wall Shear Stress in Rod Bundles with the Spectral Element Method at High Reynolds Numbers”, International Journal of Heat and Fluid Flow , 2013.
• J. M. Wozniak, T. G. Armstrong, M. Wilde, D. S. Katz, E. L. Lusk, and I. T. Foster, “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.
• S. S. Patel, M. S. Min, K. C. Uga, and T. Lee, A Spectral-Element Discontinuous Galerkin Lattice Boltzmann Method for Simulating Natural Convection Heat Transfer in a Horizontal Concentric Annulus. 2013.
• M. Miller, L. F. Diachin, S. Balay, L. Curfman McInnes, and B. F. Smith, “Package Management and Practices Essential for Interoperability: Lessons Learned and Strategies Developed for FASTMath”, in SC 13, Denver, CO, 2013.
• A. J. Pena, R. G. Correa Carvalho, J. Dinan, P. Balaji, R. Thakur, and W. D. Gropp, “Analysis of Topology-Dependent MPI Performance on Gemini Networks”, in EuroMPI 2013, Madrid, Spain, 2013.
• A. V. Obabko et al., “Large Eddy Simulation of Thermo-Hydraulic Mixing in a T-Junction”, in Nuclear Reactor Thermal Hydraulics and Other Applications , 2013.
• J. Soumagne, D. Kimpe, J. A. Zounmevo, and M. Chaarawi, “Mercury: Enabling Remote Procedure Call for High-Performance Computing”, Cluster 2013. 2013.
• F. Cappello, T. Ropars, R. V. Martsinkevich, A. Guermouche, and A. Schiper, “SPBC: Leveraging the Characteristics of MPI HPC Applications for Scalable Checkpointing”, in Super Computing (SC13), Denver, CO, 2013.
• P. Brune, M. G. Knepley, B. F. Smith, and X. Tu, “Composing Scalable Nonlinear Algebraic Solvers”. 2013.
• X. Zhao, P. Balaji, W. D. Gropp, and R. Thakur, “MPI-Interoperable Generalized Active Messages”, in 19th IEEE International Conference on Parallel and Distributed Systems, Seoul, KOR, 2013.
• Z. Zhang, D. S. Katz, M. Wilde, J. M. Wozniak, and I. T. Foster, “MTC Envelope: Defining the Capability of Large Scale Computers in the Context of Parallel Scripting Applications”, in HPDC'13, 2013.
• J. M. Wozniak et al., “Dataflow Coordination of Data-Parallel Tasks via MPI 3.0”, in EuroMPI'13, 2013.
• S. M. Aithal, “Analysis of the Current Signature in a Constant-Volume Combustion Chamber”, Combustion Science and Technology, vol. 185, no. 2, 2013.
• P. Balaprakash, S. M. Wild, and P. D. Hovland, “An Experimental Study of Global and Local Search Algorithms in Empirical Performance Tuning”, in 10th International Meeting on High-Performance Computing for Computational Science (VECPAR 2012), Kobe, Japan, 2013.
• S. Wang, J. Ward, S. Leyffer, S. M. Wild, C. Jacobsen, and S. Vogt, “Unsupervised Cell Identification on Multidimensional X-ray Fluorescence Datasets”, Journal of Synchrotron Radiation, 2013.
• P. Balaprakash, S. M. Wild, and P. D. Hovland, “Performance Modeling for Exascale Autotuning: An Integrated Approach”. 2013.