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CSE11

From SIAG-CSE

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  • Conference home page: http://www.siam.org/meetings/cse11/
  • CSE11 Business Meeting: (Notes) (slides,pdf) (slides,ppt)
  • Minisymposia slides and audio:
    • main page for CSE slides with audio
    • Monday
      • IP1 Extreme-Scale Computing: Accelerating Discovery and Innovation
      • IP2 Biomolecular Modeling and Simulation: A Field Coming of Age
      • Mixed-integer Surrogate Models for Engineering Applications
        • MS5-1 Functional ANOVA Decomposition and Discrete Inputs in Computer Model Emulation
        • MS5-2 Design and Analysis of Computer Experiments with Qualitative and Quantitative Factors
        • MS5-3 Treed Gaussian Processes for Mixed-Integer Surrogate Modeling
        • MS5-4 Evaluation of Mixed Continuous-discrete Surrogate Approaches
      • Numerical Methods for Stochastic Computation and Uncertainty Quantification 1 - Part I of III
        • MS20-1 Bayesian Inversion without Markov Chains
        • MS20-2 Sparse Bayesian Kernel Techniques for the Solution of SPDEs
        • MS20-3 An Application of Rare Event Tools to a Bimodal Ocean Current Model
        • MS20-4 Uncertainty Quantification given Discontinuities, Long-tailed Distributions, and Computationally Intensive Models
      • Numerical Methods for Stochastic Computation and Uncertainty Quantification 1 - Part II of III
        • MS28-1 On the use of ANOVA Expansions in UQ
        • MS28-2 Stochastic Elliptic Modeling based on the Wick Product
        • MS28-3 A Posteriori Error Estimates for Polynomial Chaos Expansions of Response Surfaces for Differential Equations
        • MS28-4 Numerical Solutions of Forward Backward Doubly Stochastic Differential Equations and the Related Stochastic PDEs
    • Tuesday
      • IP3 Kinetic Methods for CFD
      • IP4 Application Performance in the Multi-Core Era – Lessons to Be Learned for Exascale Computing
      • Numerical Methods for Stochastic Computation and Uncertainty Quantification 1 - Part III of III
        • MS41-1 Optimal Uncertainty Quantification
        • MS41-2 On the Application of Estimation Theory to Complex System Design Under Uncertainty
        • MS41-3 Advanced Dynamically Adaptive Algorithms for Stochastic Simulations on Extreme Scales
        • MS41-4 Fast Generation of Nested Space-filling Latin Hypercube Sample Designs
      • Hybrid Programming Models -- Development and Deployment - Part I of II
        • MS50-3 MapReduce on a Cluster of GPUs
        • MS50-4 Multi-GPU Calculations in Lattice Quantum Chromodynamics
      • Hybrid Programming Models -- Development and Deployment - Part II of II
        • MS60-3 Hybrid Programming Models for Computational Chemistry
        • MS60-4 Multicore Parallelization of Determinant Quantum Monte Carlo Simulations
    • Wednesday
      • IP6 Discovery of Patterns in Global Earth Science Data using Data Mining
      • Numerical Discretization Error Estimation for Uncertainty Quantification - Part I of III
        • MS67-1 Adjoint Error Estimation Formulations for Nonlinear Algorithms Applied to Linear Advection
        • MS67-2 A Posteriori Error Estimates and Adaptive Error Control for Probabilistic Sensitivity Analysis
        • MS67-3 Recovery-Based A Posteriori Error Estimation
        • MS67-4 A Posteriori Error Measures and Adaptive Local Refinement with First-Order System Least-Squares (FOSLS) Finite-Element Methods
      • Numerical Discretization Error Estimation for Uncertainty Quantification - Part II of III
        • MS78-1 Goal-oriented Adaptive Uncertainty Quantification Using Stochastic Adjoints
        • MS78-2 Space-Time Error Estimation Via Dual Problems for CFD
        • MS78-3 Adjoint-Based Numerical Error Estimation for the Unsteady Compressible Navier-Stokes Equations
        • MS78-4 Adjoint-based Discretization Error Estimation for Time Dependent Problems
      • Numerical Discretization Error Estimation for Uncertainty Quantification - Part III of III
        • MS87-1 A Posteriori Error Estimation via Error Evolution
        • MS87-2 The Role of Theory in Calculation Verification
    • Thursday
      • IP7 Interoperable Unstructured Mesh Technologies for Petascale Computations
      • IP9 The Data and Compute-Driven Transformation of Modern Science
      • Interoperable Technologies for Advanced Petascale Simulations (ITAPS) - Part I of II
        • MS99-1 Tools to Support Unstructured Meshes on Massively Parallel Computers
        • MS99-2 ITAPS Tools in Computational Evaluation of Alternative Methods of Nuclear Fusion
        • MS99-3 Introduction to the ITAPS Field Interface
        • MS99-4 MeshKit: An Open-Source Toolkit for Mesh Generation
      • Interoperable Technologies for Advanced Petascale Simulations (ITAPS) - Part II of II
        • MS111-1 Towards Large-Scale Predictive Flow Simulations using ITAPS Services
        • MS111-2 Parallel Mesh Generation by Distributing CAD Geometry
        • MS111-3 Parallel Hybrid Mesh Adaptation
      • Computational Approaches to the Risk Assessment for Cerebral Aneurysms
        • MS119-1 Hemodynamics and Morphology in the Parent Vessels could Predict the Aneurysm Phenomenology
        • MS119-2 Functional Data Analysis of Three-dimensional Cerebral Vascular Geometries for the Study of Aneurysms Pathogenesis
        • MS119-3 Sensitivity Analysis Concerning Geometry and Modeling for Aneurysms
        • MS119-4 Stress Analysis of Cerebral Aneurysms
    • Friday
      • IP8 Complexity Reduction in Partial Differential Equations
      • Numerical Methods for Stochastic Computation and Uncertainty Quantification 2 - Part I of III
        • MS134-2 A Discretized Law of Total Probability Approach to Inverse Problems
        • MS134-3 A Scalable Algorithm for Solutions of Large-scale Statistical Inversions
        • MS134-4 Uncertainty Assessment for Dynamical Systems, with Applications to Chemical Plants
      • Numerical Methods for Stochastic Computation and Uncertainty Quantification 2 - Part II of III
        • MS146-1 UQ for Turbulent Fluid Mixing
        • MS146-2 A Framework for Managing the Combined Effect of Aleatoric Uncertainty, Epistemic Uncertainty, and Numerical Error
        • MS146-3 Probabilistic Reduced-order Models for Uncertainty Quantification
        • MS146-4 Generalised Polynomial Chaos for Differential Algebraic Equations with Random Parameters
      • Numerical Methods for Stochastic Computation and Uncertainty Quantification 2 - Part III of III
        • MS153-2 Minimal Element Interpolation in Functions of Higher Dimensions
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