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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | De Donno, D. Esposito, A. Monti, G. Tarricone, L. |
| Copyright Year | 2011 |
| Description | Author affiliation: University of Salento, Via per Monteroni - Ecotekne, 73100 Lecce, Italy (De Donno, D.; Esposito, A.; Monti, G.; Tarricone, L.) |
| Abstract | In this paper, graphics processing unit (GPU) is used to accelerate both the impedance matrix calculation and the linear system solution in a Mixed-Potential Integral-Equation (MPIE) formulation of the method of moments (MoM). We consider a three-step process. First, the MoM matrix is computed on the GPU by using a quasi-one-dimensional approximation of the MPIE formulation. Second, a sparse representation of the matrix is obtained by thresholding. Third, a GPU-enabled bi-conjugate gradient (BiCG) method is used to solve the linear system. We validate the accuracy of our approach by analysing a microstrip branch-line coupler and comparing the results provided by the GPU code with a well-known commercial simulator. A performance analysis proves that the developed algorithm, running on a cheap off-the-shelf GPU, is about 25 times faster than the CPU version. |
| Starting Page | 175 |
| Ending Page | 178 |
| File Size | 1078151 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781612842356 |
| e-ISBN | 9782874870224 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-10 |
| Publisher Place | United Kingdom |
| Access Restriction | Subscribed |
| Rights Holder | EUROPEAN MICROWAVE ASSOC |
| Subject Keyword | Graphics processing unit Moment methods Transmission line matrix methods Sparse matrices Linear systems Impedance Acceleration NVIDIA CUDA bi-conjugate gradient method graphics processing unit impedance matrix method of moments |
| Content Type | Text |
| Resource Type | Article |
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