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09/12/2021
H2Opus: A distributed-memory multi-GPU software package for non-local operators
Hierarchical ℋ^2-matrices are asymptotically optimal representations for...
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08/03/2020
High Performance Multivariate Spatial Modeling for Geostatistical Data on Manycore Systems
Modeling and inferring spatial relationships and predicting missing valu...
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03/25/2020
Exploiting Low Rank Covariance Structures for Computing High-Dimensional Normal and Student-t Probabilities
We present a preconditioned Monte Carlo method for computing high-dimens...
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11/21/2019
On the robustness and performance of entropy stable discontinuous collocation methods for the compressible Navier-Stokes equations
In computational fluid dynamics, the demand for increasingly multidiscip...
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11/21/2019
On the robustness and performance of entropy stable discontinuous collocation methods for the compressible Navie-Stokes equations
In computational fluid dynamics, the demand for increasingly multidiscip...
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07/23/2019
ExaGeoStatR: A Package for Large-Scale Geostatistics in R
Parallel computing in Gaussian process calculation becomes a necessity f...
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02/05/2019
Hierarchical Matrix Operations on GPUs: Matrix-Vector Multiplication and Compression
Hierarchical matrices are space and time efficient representations of de...
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04/25/2018
Fast parallel multidimensional FFT using advanced MPI
We present a new method for performing global redistributions of multidi...
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04/24/2018
Parallel Approximation of the Maximum Likelihood Estimation for the Prediction of Large-Scale Geostatistics Simulations
Maximum likelihood estimation is an important statistical technique for ...
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04/24/2018
Tile Low-Rank Approximation of Large-Scale Maximum Likelihood Estimation on Manycore Architectures
Maximum likelihood estimation is an important statistical technique for ...
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07/13/2017