Learning Why: Data-Driven Causal Evaluations of Climate Models
Abstract not provided.
Publications
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Jump to search filtersMultifidelity UQ sampling for Stochastic Simulations
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Multi-fidelity Machine Learning
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Design of a Portable Implementation of Partitioned Point-to-Point Communication Primitives
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Perfection is the Enemy of Fast: The Case for Mathematically Induced Parallelism
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Hybrid multi-level Monte Carlo polynomial chaos method for global sensitivity analysis
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Properties of GMRES with Iterative Refinement on GPUs
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Verification, Validation & Uncertainty Quantification
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A Case Study in Using Containers to Build and Distribute HPC Applications: ALEGRA
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Development of an Algorithmic Framework for the Simulation of Partially-Ionized Multifluid Plasma Systems with Arbitrarily Many Species
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A reduced space simultaneous approach for optimization of nonlinear index-1 differential algebraic equations
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A Deep Learning Workflow for Spatio-Temporal Anomaly Detection in NGSS Camera Data
Abstract not provided.
Recent Advances in Maxwell Solvers for PIC Simulations Across Architectures
Abstract not provided.
Learning Algebraic Multigrid Prolongation with Residual Graph Neural Networks
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Learning Why: Data-Driven Causal Evaluations of Climate Models
Abstract not provided.
Machine Learning for Accelerating Direct-Simulation Monte-Carlo Collision Operators
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Comparing reproduced cyber experimentation studies across different emulation testbeds
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Verification Testing for Multiphysics Codes
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Comparing Intel Compilers Poster
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Learning Transferable DFT Neural Network Surrogates
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Negative Perceptions About the Applicability of Source-to-Source Compilers in HPC: A Literature Review
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Simulating the Impossible via Breaking Assumptions
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Learning Missing Mechanisms in a Dynamical System from a Subset of State Variable Observations
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pMEMCPY: an efficient I/O library for PMEM
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Use My Data, But Don't Make Me Share It: Hybrid Secure MultiParty Computation for Privacy-Preserving Machine Learning
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