
H2Opus: A distributedmemory multiGPU software package for nonlocal operators
Hierarchical ℋ^2matrices are asymptotically optimal representations for...
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High Performance Multivariate Spatial Modeling for Geostatistical Data on Manycore Systems
Modeling and inferring spatial relationships and predicting missing valu...
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Exploiting Low Rank Covariance Structures for Computing HighDimensional Normal and Studentt Probabilities
We present a preconditioned Monte Carlo method for computing highdimens...
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On the robustness and performance of entropy stable discontinuous collocation methods for the compressible NavierStokes equations
In computational fluid dynamics, the demand for increasingly multidiscip...
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On the robustness and performance of entropy stable discontinuous collocation methods for the compressible NavieStokes equations
In computational fluid dynamics, the demand for increasingly multidiscip...
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ExaGeoStatR: A Package for LargeScale Geostatistics in R
Parallel computing in Gaussian process calculation becomes a necessity f...
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Hierarchical Matrix Operations on GPUs: MatrixVector Multiplication and Compression
Hierarchical matrices are space and time efficient representations of de...
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Fast parallel multidimensional FFT using advanced MPI
We present a new method for performing global redistributions of multidi...
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Parallel Approximation of the Maximum Likelihood Estimation for the Prediction of LargeScale Geostatistics Simulations
Maximum likelihood estimation is an important statistical technique for ...
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Tile LowRank Approximation of LargeScale Maximum Likelihood Estimation on Manycore Architectures
Maximum likelihood estimation is an important statistical technique for ...
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Batched QR and SVD Algorithms on GPUs with Applications in Hierarchical Matrix Compression
We present high performance implementations of the QR and the singular v...
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David E. Keyes
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