2021
DOI: 10.1007/s10598-022-09545-2
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Benchmarks of Cuda-Based GMRES Solver for Toeplitz and Hankel Matrices and Applications to Topology Optimization of Photonic Components

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Cited by 5 publications
(2 citation statements)
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“…One has been done was by using the accelerated projection-based consensus. 17 Other methods, by utilizing the parallel iterative methods, for instance, such as by Sultanov et al, 18 Ma et al, 19 and Anzt et al 20 The recent parallel works on GMRES running on NVIDIA GPGPU accelerator for solving systems of linear equations based on the sparse matrices, were discussed by Minin et al 21…”
Section: Resultsmentioning
confidence: 99%
“…One has been done was by using the accelerated projection-based consensus. 17 Other methods, by utilizing the parallel iterative methods, for instance, such as by Sultanov et al, 18 Ma et al, 19 and Anzt et al 20 The recent parallel works on GMRES running on NVIDIA GPGPU accelerator for solving systems of linear equations based on the sparse matrices, were discussed by Minin et al 21…”
Section: Resultsmentioning
confidence: 99%
“…In this context, topology optimization (TO) methods represent the most adopted design tool. They allow one to obtain the best material distribution within a given design space, fixing the problem conditions (loads and constraints), to meet a predefined set of performance objectives [7][8][9][10][11][12][13][14]. The possibility of combining AM techniques with topology optimization represents a convenient choice because of the great geometrical freedom, combined with minimum attention to fabrication constraints, that can be provided by this manufacturing process [15,16].…”
Section: Introductionmentioning
confidence: 99%