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Found 4 papers, 3 papers with code
PETScML: Second-order solvers for training regression problems in Scientific Machine Learning
In recent years, we have witnessed the emergence of scientific machine learning as a data-driven tool for the analysis, by means of deep-learning techniques, of data produced by computational science and engineering applications.
Extreme Scale FMM-Accelerated Boundary Integral Equation Solver for Wave Scattering
With distributed memory optimizations, on the other hand, we report near-optimal efficiency in the weak scalability study with respect to both the logarithmic communication complexity as well as the theoretical scaling complexity of FMM.
Performance Computational Engineering, Finance, and Science Mathematical Software
Likelihood Approximation With Hierarchical Matrices For Large Spatial Datasets
We use available measurements to estimate the unknown parameters (variance, smoothness parameter, and covariance length) of a covariance function by maximizing the joint Gaussian log-likelihood function.
Computation 62F99, 62P12, 62M30 G.3; G.4; J.2
Asynchronous Execution of the Fast Multipole Method Using Charm++
Fast multipole methods (FMM) on distributed mem- ory have traditionally used a bulk-synchronous model of com- municating the local essential tree (LET) and overlapping it with computation of the local data.
Distributed, Parallel, and Cluster Computing 70F10 D.1.2; D.1.3; G.1.0; G.1.2
