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05/05/2023
Robust A-Optimal Experimental Design for Bayesian Inverse Problems
Optimal design of experiments for Bayesian inverse problems has recently...
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01/04/2022
The PETSc Community Is the Infrastructure
The communities who develop and support open source scientific software ...
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08/30/2021
ExaWorks: Workflows for Exascale
Exascale computers will offer transformative capabilities to combine dat...
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07/15/2021
Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization
The applications being developed within the U.S. Exascale Computing Proj...
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06/09/2021
Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development
Scientific workflows are a cornerstone of modern scientific computing, a...
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05/26/2021
Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs
Rapid growth in scientific data and a widening gap between computational...
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04/10/2021
Achieving 100X faster simulations of complex biological phenomena by coupling ML to HPC ensembles
The use of ML methods to dynamically steer ensemble-based simulations pr...
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03/16/2021
Workflows Community Summit: Bringing the Scientific Workflows Community Together
Scientific workflows have been used almost universally across scientific...
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02/25/2021
The PetscSF Scalable Communication Layer
PetscSF, the communication component of the Portable, Extensible Toolkit...
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01/15/2021
Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments
We present a novel stochastic approach to binary optimization for optima...
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11/17/2020
FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking
We present the Feature Tracking Kit (FTK), a framework that simplifies, ...
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11/02/2020
Toward Performance-Portable PETSc for GPU-based Exascale Systems
The Portable Extensible Toolkit for Scientific computation (PETSc) libra...
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09/15/2020
Training neural networks under physical constraints using a stochastic augmented Lagrangian approach
We investigate the physics-constrained training of an encoder-decoder ne...
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07/08/2020
