Algorithmic patterns for \(\mathcal {H}\)-matrices on many-core processors
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Publication:2420703
DOI10.1007/s10915-018-0809-4zbMath1434.65062arXiv1708.09707OpenAlexW2753660654MaRDI QIDQ2420703
Publication date: 6 June 2019
Published in: Journal of Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1708.09707
space filling curveshierarchical matricesGPUkernel ridge regressionbatched linear algebramany-core parallelization
Learning and adaptive systems in artificial intelligence (68T05) Parallel numerical computation (65Y05) Numerical linear algebra (65F99) Numerical algorithms for specific classes of architectures (65Y10)
Related Items (3)
SemiAutomatic Task Graph Construction for $\mathcal{H}$-Matrix Arithmetic ⋮ H2Opus: a distributed-memory multi-GPU software package for non-local operators ⋮ Distributed fast boundary element methods for Helmholtz problems
Uses Software
Cites Work
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- Survey on the technique of hierarchical matrices
- Parallel \(\mathcal H\)-matrix arithmetics on shared memory systems
- PetRBF - A parallel \(O(N)\) algorithm for radial basis function interpolation with Gaussians
- Recompression techniques for adaptive cross approximation
- Hierarchical matrices. A means to efficiently solve elliptic boundary value problems
- On the fast matrix multiplication in the boundary element method by panel clustering
- Adaptive low-rank approximation of collocation matrices
- Introduction to hierarchical matrices with applications.
- \(\mathcal H\)-LU factorization on many-core systems
- \(\mathcal H^2\)-matrices -- multilevel methods for the approximation of integral operators.
- \(\mathcal H^2\)-matrix approximation of integral operators by interpolation
- FMM-based vortex method for simulation of isotropic turbulence on GPUs, compared with a spectral method
- An Efficient Multicore Implementation of a Novel HSS-Structured Multifrontal Solver Using Randomized Sampling
- ASKIT: An Efficient, Parallel Library for High-Dimensional Kernel Summations
- Hierarchical Matrices: Algorithms and Analysis
- PARALLEL CONSTRUCTION OF QUADTREES AND QUALITY TRIANGULATIONS
- Batched Triangular Dense Linear Algebra Kernels for Very Small Matrix Sizes on GPUs
- Kernel Ridge Regression
- A Distributed-Memory Package for Dense Hierarchically Semi-Separable Matrix Computations Using Randomization
- Task-Based FMM for Multicore Architectures
- Scattered Data Approximation
- Parallel black box $$\mathcal {H}$$ -LU preconditioning for elliptic boundary value problems
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