Topic

65y05

Knowledge-graph topic · documents ABOUT 65y05 across the archive

21Documents about 65y05

Documents about 65y05

Hybrid Dealiasing and Implicit Packing for Real Convolutions#609658arXiv (All)
Communication-reduced Conjugate Gradient Variants for GPU-accelerated Clusters#144243arXiv (OAI)
A dimension-oblivious domain decomposition method based on space-filling curves#182962arXiv
A dimension-oblivious domain decomposition method based on space-filling curves#183012arXiv Biology
A dimension-oblivious domain decomposition method based on space-filling curves#183062arXiv (OAI Expanded)
A dimension-oblivious domain decomposition method based on space-filling curves#183112arXiv (OAI)
A novel parallel approach for solving some free boundary value problems#925572arXiv (All)
A space-time hybrid parareal method for kinetic equations in the diffusive scaling#668362arXiv (OAI Expanded)
A space-time hybrid parareal method for kinetic equations in the diffusive scaling#670427arXiv (All)
A Fully Dual Domain Decomposition Method for Extreme Learning Machines Using GenEO Spectral Coarse Spaces#985965arXiv (All)
Resilience Against Soft Faults through Adaptivity in Spectral Deferred Correction#987397arXiv (All)
Fast Gauss Sums via Flash Attention#971569arXiv (All)
Code Generation for Near-Roofline Finite Element Actions on GPUs from Symbolic Variational Forms#797205arXiv (OAI Expanded)
Code Generation for Near-Roofline Finite Element Actions on GPUs from Symbolic Variational Forms#798618arXiv (All)
Prob-GParareal: A Probabilistic Numerical Parallel-in-Time Solver for Differential Equations#664030arXiv (OAI Expanded)
Prob-GParareal: A Probabilistic Numerical Parallel-in-Time Solver for Differential Equations#665530arXiv (All)
Scalable s-step Preconditioned Conjugate Gradient with Chebyshev Basis and Gauss-Seidel Gram Solve#998136arXiv (All)
A Massively Parallel Interior-Point Method for Arrowhead Linear Programs with Local Linking Structure#128328arXiv (OAI)
Sensor Placement for Tsunami Early Warning via Large-Scale Bayesian Optimal Experimental Design#821829arXiv (All)
Enabling Memory-efficient Im2win Convolution with Multi-precision Support on GPU CUDA and Tensor Cores#657145arXiv (OAI Expanded)
Enabling Memory-efficient Im2win Convolution with Multi-precision Support on GPU CUDA and Tensor Cores#659281arXiv (All)

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