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Block Tridiagonal Solvers on Heterogeneous Architectures
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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An overview of projection methods for incompressible flows
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High-performance computing using accelerators
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Chip makers turn to multicore processors
inferredcites →https://doi.org/10.1109/tpds.2010.61openalex-snapshot
Cyclic Reduction Tridiagonal Solvers on GPUs Applied to Mixed-Precision Multigrid
inferredcites →https://doi.org/10.1137/0711086openalex-snapshot
A direct Method for the Discrete Solution of Separable Elliptic Equations
inferredcites →https://doi.org/10.1145/1693453.1693472openalex-snapshot
Fast tridiagonal solvers on the GPU
inferredcites →https://doi.org/10.1145/321250.321259openalex-snapshot
A Fast Direct Solution of Poisson's Equation Using Fourier Analysis
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Heterogeneous CPU+GPU approaches for mesh refinement over Lattice‐Boltzmann simulations
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Reducing memory requirements for large size LBM simulations on GPUs
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cuThomasBatch and cuThomasVBatch, CUDA Routines to compute batch of tridiagonal systems on NVIDIA GPUs
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A Portable and Heterogeneous LU Factorization on IRIS
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SEER: An On-node Performance-Portable C++ Library for Heterogeneous Systems
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Leveraging the Performance of LBM-HPC for Large Sizes on GPUs Using Ghost Cells
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NVIDIA GPUs Scalability to Solve Multiple (Batch) Tridiagonal Systems Implementation of cuThomasBatch
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Fast finite difference Poisson solvers on heterogeneous architectures
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Accelerating fluid–solid simulations (Lattice-Boltzmann & Immersed-Boundary) on heterogeneous architectures
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sLASs: A fully automatic auto-tuned linear algebra library based on OpenMP extensions implemented in OmpSs (LASs Library)
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Accelerating Solid-fluid Interaction using Lattice-boltzmann and Immersed Boundary Coupled Simulations on Heterogeneous Platforms
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cuHinesBatch: Solving Multiple Hines systems on GPUs Human Brain Project * *This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 720270 (HBP SGA1), from the Spanish Ministry of Economy and Competitiveness under the…
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A Fast Solver for Large Tridiagonal Systems on Multi-Core Processors (Lass Library)
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Multi-domain Grid Refinement for Lattice-Boltzmann Simulations on Heterogeneous Platforms
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BLAS-3 Optimized by OmpSs Regions (LASs Library)
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SparseLU, A Novel Algorithm and Math Library for Sparse LU Factorization
inferred← citeshttps://doi.org/10.1145/3236367.3236373openalex-snapshot
MPI+OpenMP Tasking Scalability for the Simulation of the Human Brain
inferred← citeshttps://doi.org/10.12694/scpe.v17i1.1148openalex-snapshot
Many-Task Computing on Many-Core Architectures
inferred← citeshttps://doi.org/10.12694/scpe.v18i2.1287openalex-snapshot
Towards HPC-Embedded. Case Study: Kalray and Message-Passing on NoC
inferred← citeshttps://doi.org/10.2516/ogst/2018061openalex-snapshot
Simulating the behavior of the Human Brain on GPUs
inferred← citeshttps://doi.org/10.3390/math8020281openalex-snapshot
Alternating Asymmetric Iterative Algorithm Based on Domain Decomposition for 3D Poisson Problem
inferred← citeshttps://doi.org/10.4018/978-1-5225-0287-6.ch006openalex-snapshot
Multicore and Manycore
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Programming and Computing Lattice Boltzmann Method
inferred← citeshttps://doi.org/10.4018/978-1-5225-4760-0.ch004openalex-snapshot
Mesh Refinement for LBM Simulations on Cartesian Meshes
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Introduction to Linear Algebra
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Sparse Linear Algebra
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