Research Highlights
Following is a list of selected highlights from the FASTMath Institutes.
2021:
Bidirectional Data Movement In Situ Accelerates Time to Insight
Portable Structure Preserving Kinetic Methods for Fusion Plasmas
Scalable Implicit, Adaptive MFEM-based Solver for Reduced Resistive MHD
Hierarchical Partitioning for Distributed Multi-GPU Platforms
New Multirate Time Integrators Enable Greater Efficiency in Multiscale Problems
Fast and Flexible Monolithic AMG Framework for Multiphysics PDE Systems
New Low Synchronization Methods Speed Up Anderson Accelerated Nonlinear Solvers
Improving Dense Block Structure in Sparse Matrix Factorization
Solving Eigenvalue Problem with Localized Eigenvectors using Reinforcement Learning
Enhancing Scalability of a Matrix-Free Tensor Eigensolver for Studying Many-Body Localization
Bilevel and Robust Optimization for Automated Tuning of HEP Event Generators
Differentiable ODE Solvers for PDE-constrained Optimization and Scientific Machine Learning
Batch Greedy Algorithms and Guarantees for Optimal Experimental Design
Multifidelity Uncertainty Quantification for Tokamak Disruption Simulation (TDS)
Parameter Estimation from Observational Data using ML Method
Performance Optimization for Large-scale Eigenvalue Computation [FASTMath-RAPIDS collaboration]
Source Code and Algorithm Optimizations Speed Up Nuclear Physics Simulations [FASTMath-RAPIDS collaboration]
Bidirectional Data Movement In Situ Accelerates Design Space Optimization [FASTMath-RAPIDS collaboration]
MGARD Data Compression Tool: v1 Release [FASTMath-RAPIDS collaboration]
Machine Learning-Based Inversion of Nuclear Responses [FASTMath-RAPIDS collaboration]
Optimal Design and Control with Machine-Learning Surrogates [FASTMath-RAPIDS collaboration]
FASTMath-RAPIDS Interaction: Coupling Fusion Codes via ADIOS2 and EFFIS 2.0 [FASTMath-RAPIDS collaboration]
CTTS-FASTMath-RAPIDS Partnership [FASTMath-RAPIDS collaboration]