Argonne National Laboratory

2012

• M. Anitescu, O. Roderick, and J. Utke, Derivative-Based Uncertainty Quantification: Automatic Differentiation Tools for SAS. 2012.
• “ExM: High Level Dataflow Programming for Extreme-Scale Systems”, in 4th USENIX Workshop on Hot Topics in Parallelism , 4th USENIX Workshop on Hot Topics in Parallelism , 2012.
• J. J. More' and S. M. Wild, “Estimating Derivatives of Noisy Simulations”, ACM Transactions on Mathematical Software (TOMS), vol. 38, no. 3, 2012.
• T. S. Munson, J. Sarich, S. M. Wild, S. J. Benson, and L. Curfman McInnes, TAO 2.0 Users Manual. 2012.
• V. M. Zavala, “Real-Time Resolution of Conflicting Objectives in Building Energy Management: An Utopia-Tracking Approach”, presented at the 03/2012, 2012.
• D. E. Keyes, L. Curfman McInnes, C. Woodward, W. D. Gropp, E. Myra, and M. Pernice, Multiphysics Simulations: Challenges and Opportunities. 2012.
• A. Mametjanov, D. Lowell, C. Ma, and B. Norris, “Autotuning Stencil-Based Computations on GPUs”, 2012.
• D. Pugmire, T. Peterka, and C. Garth, “Parallel Integral Curves”, 2012.
• D. Ozog, J. R. Hammond, J. Dinan, P. Balaji, S. Shende, and A. D. Malony, “Inspector-Executor Load Balancing Algorithms for Block-Sparse Tensor Contractions”, in ICS '13, 2012.
• J. Chen and L. Li, “Parallelizing the Conjugate Gradient Algorithm for Multilevel Toeplitz Systems”, in Int. Conf. on Computational Science (ICCS 2013) , Barcelona, Spain, 2012.
• H. Cole-Mullen, A. Lyons, and J. Utke, “Storing Versus Recomputation on Multiple DAGs”, in Recent Advances in Algorithmic Differentiation, Lecture Notes in Computational Science and Engineering, vol. 87, New York: Springer, 2012, pp. 197-207.
• J. Akerley, M. Greiner, A. V. Obabko, and P. F. Fischer, “Flow Destabilization and Heat Transfer Augmentation in an Array of Grooved Passages with Developing Flow”, 2012.
• F. X. Giraldo, J. F. Kelly, and E. M. Constantinescu, “Implicit-Explicit Formulations of a Three-Dimensional Nonhydrostatic Unified Model of the Atmosphere (NUMA)”, SIAM Journal on Scientific Computing, vol. 35, no. 5, pp. B1162-B1194, 2012.
• A. Gutfraind, L. A. Meyers, and I. Safro, “Multiscale Network Generation”, 2012.
• S. Abhyankar and A. J. Flueck, “Real-Time Power System Dynamics Simulation Using a Parallel Block-Jacobi Preconditioned Newton-GMRES Scheme”, in 2nd International Workshop on High Performance Computing, Networking, and Analytics for the Power Grid , Salt Lake City, UT, 2012.
• G. C. Fox et al., “FutureGrid: A Reconfigurable Testbed for Cloud, HPC and Grid Computing”, in Contemporary High Performance Computing: From Petascale toward Exascale, Chapman & Hall, 2012.
• R. L. Jacob et al., “Bringing Task and Data Parallelism to Analysis of Climate Model Output”, in Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW) , 2012.
• S. Mohanty, R. Jain, S. Majumdar, T. J. Tautges, and M. Srinivasan, “Coupled Field-Structural Analysis of HTGR Fuel Brick Using Abaqus”, in ICAPP '12, Chicago. IL, 2012.
• A. Lyons, I. Safro, and J. Utke, “Randomized Heuristics for Exploiting Jacobian Scarcity”, Optimization Methods & Software, vol. 27, no. 2, 2012.
• B. F. Smith et al., “PETSc's Software Strategy for the Design Space of Composable Extreme-Scale Solvers”, in DOE Exascale Research Conference, Portland, OR, 2012.