Pages that link to "Item:Q4601920"
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The following pages link to An efficient sparse matrix‐vector multiplication on CUDA‐enabled graphic processing units for finite element method simulations (Q4601920):
Displaying 11 items.
- FPGA architecture and implementation of sparse matrix-vector multiplication for the finite element method (Q710265) (← links)
- GPGPU-based parallel computing applied in the FEM using the conjugate gradient algorithm: a review (Q1789172) (← links)
- Efficient CSR-based sparse matrix-vector multiplication on GPU (Q1793182) (← links)
- GPU-based matrix-free finite element solver exploiting symmetry of elemental matrices (Q2199063) (← links)
- Architecting the finite element method pipeline for the GPU (Q2252243) (← links)
- Towards a complete FEM-based simulation toolkit on GPUs: unstructured grid finite element geometric multigrid solvers with strong smoothers based on sparse approximate inverses (Q2446654) (← links)
- A GPU implementation of the PCG method for large-scale image-based finite element analysis in heterogeneous periodic media (Q2674051) (← links)
- A new sparse matrix vector multiplication graphics processing unit algorithm designed for finite element problems (Q2952748) (← links)
- Low Byte/Flop Implementation of Iterative Solver for Sparse Matrices Derived from Stencil Computations (Q6487407) (← links)
- Development of GPU-based matrix-free strategies for large-scale elastoplasticity analysis using conjugate gradient solver (Q6499897) (← links)
- A three-stage graphics processing unit-based finite element analyses matrix generation strategy for unstructured meshes (Q6553512) (← links)
