Argonne National Laboratory

2013

• P. Balaprakash et al., “Exascale Workload Characterization and Architecture Implications”, in 21st High Performance Computing Synposium, San Diego, 2013.
• “MPI on Millions of Cores”. 2013.
• K. Hatz, S. Leyffer, J. P. Schloder, and H. G. Bock, “Regularizing Bilevel Nonlinear Programs by Lifting”, SIAM Journal on Optimization, 2013.
• Z. Zhang, D. S. Katz, T. G. Armstrong, J. M. Wozniak, and I. T. Foster, “Parallelizing the Execution of Sequential Scripts”, Super Computing (SC13). 2013.
• M. Lubin, J. A. Julian Hall, C. G. Petra, and M. Anitescu, “Parallel Distributed-Memory Simplex for Large-Scale Stochastic LP Problems”, Computational Optimization and Applications, vol. 55, no. 3, pp. 571-596, 2013.
• J. W. Larson and S. M. Wild, “Non-intrusive Termination of Noisy Optimization”, Optimization Methods and Software, vol. 28, no. 5, pp. 993-1011, 2013.
• A. Wilke et al., “A Metagenomics Portal for a Democratized Sequencing World”, Methods enzymol., vol. 531, pp. 487-523, 2013.
• M. G. Knepley, J. Brown, K. Rupp, and B. F. Smith, Achieving High Performance with Unified Residual Evaluation. 2013.
• E. M. Constantinescu and M. Anitescu, “Physics-Based Covariance Models for Gaussian Processes with Multiple Outputs”, International Journal for Uncertainty Quantification, vol. 3, no. 1, 2013.
• T. G. Armstrong, J. M. Wozniak, M. Wilde, and I. T. Foster, “Compiler optimization for data-driven task parallelism on distributed memory systems”, in 19th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Orlando, FL, 2013.
• J. Jenkins, J. Dinan, P. Balaji, T. Peterka, N. F. Samatova, and R. Thakur, “MPI Derived Datatypes Processing on Noncontiguous GPU-Resident Data”, 2013.
• R. L. Jacob et al., “ParNCL and ParGAL: Data Parallel Tools for Post-Processing of Large-Scale Earth Science Data”, International Conference on Computational Science (ICCS 2013), vol. 18. Procedia Computer Science, pp. 1245–1254, 2013.
• X. Zhao, P. Balaji, W. D. Gropp, and R. Thakur, “Optimization Strategies for MPI-Interoperable Active Messages”, in 13th IEEE International Conference on Scalable Computing and Communication, Chengdu, China, 2013.
• C. L. Phillips, “A Learning Heuristic for Space Mapping and Searching Self-Organizing Systems Using Adaptive Mesh Refinement”. 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.
• A. Moawad, S. Halbach, S. Pagerit, A. Rousseau, P. Balaprakash, and S. M. Wild, Novel Process to Use Vehicle Simulations Directly as Inputs to DOT's Cafe Modeling System. 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.
• J. Jenkins, J. Dinan, P. Balaji, T. Peterka, N. F. Samatova, and R. Thakur, “Processing MPI Derived Datatypes on Noncontiguous GPU-Resident Data”, IEEE Transactions on Parallel and Distributed Systems, 2013.
• A. Cherchi, A. F. Carril, C. Menendez, and L. Zamboni, “La Plata Basin Precipitation Variability in Spring: Role of Remote SST Forcing as Simulated by GCM Experiments”, Climate Dynamics, 2013.
• P. Lama et al., “pVOCL: Power-Aware Dynamic Placement and Migration in Virtualized GPU Environments”, in 33rd International Conference on Distributed Computing Systems, Philadephia, PA, 2013.