12708
Keisuke Konno, Qiang Chen, Hajime Katsuda
Various guidelines for acceleration of MoM by GPU computing are summarized. Acceleration of direct/iterative solver for MoM by using GPU is realized. Quantitative study of computing time shows the performance of each guideline.
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Yasuhiro Takei, Hasitha Muthumala Waidyasooriya, Masanori Hariyama, Michitaka Kameyama
High-performance computing systems with dedicated hardware on FPGAs can achieve power efficient computations compared with CPUs and GPUs. However, the hardware design on FPGAs needs more time than the software design on CPUs and GPUs. We designed an FDTD hardware accelerator using the OpenCL compiler for FPGAs in this paper. Since it is possible to […]
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Yingnian Wu, Lin Zhang, Lan Mu
Electromagnetic calculation plays an important role in both military and civic fields. Some methods and models proposed for calculation of electromagnetic wave propagation in a large range, bring heavy burden in CPU computation, and also require huge amount of memory. Using the GPU to accelerate computation and visualization can reduce the computational burden on the […]
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Deshpande Varadendra Ravindra
The present report deals with the application of the algorithm for computation of electromagnetic field components using FDTD method developed by Kane Yee, to Cartesian meshes using total field formulation. For this purpose, code has been written for electromagnetic scattering computation in C language. For generation of code, some snippets from [1] have been used. […]
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Ru Zhu
A finite-difference Micromagnetic solver is presented utilizing the C++ Accelerated Massive Parallelism (C++ AMP). The high speed performance of a single Graphics Processing Unit (GPU) is demonstrated compared to a typical CPU-based solver. The speed-up of GPU to CPU is shown to be greater than 100 for problems with larger sizes. This solver is based […]
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C.-G. Jia, L.-X. Guo, J. Li
In this paper, the graphic processor unit (GPU) implementation of the finite-difference time domain (FDTD) algorithm is presented to investigate the electromagnetic (EM) scattering from one dimensional (1-D) Gaussian rough soil surface. The FDTD lattices are truncated by uniaxial perfectly matched layer (UPML), in which the finite-difference equations are carried out for the total computation […]
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Claas Abert, Gregor Wautischer, Florian Bruckner, Armin Satz, Dieter Suess
We implement an efficient energy-minimization algorithm for finite-difference micromagnetics that proofs especially usefull for the computation of hysteresis loops. Compared to results obtained by time integration of the Landau-Lifshitz-Gilbert equation, a speedup of up to two orders of magnitude is gained. The method is implemented in a finite-difference code running on CPUs as well as […]
Brian Vyhnalek
Ultra-wideband (UWB) wireless systems have recently gained considerable attention as effective communications platforms with the properties of low power and high data rates. Applications of UWB such as wireless USB put size constraints on the antenna, however, which can be very difficult to meet using typical narrow band antenna designs. The aim of this thesis […]
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Oscar Borries, Hans Henrik Brandenborg Sorensen, Bernd Dammann, Erik Jorgensen, Peter Meincke, Stig Busk Sorensen, Per Christian Hansen
The Physical Optics approximation is a widely used asymptotic method for calculating the scattering from electrically large bodies. It requires significant computational work and little memory, and is thus well suited for application on a Graphics Processing Unit. Here, we investigate the performance of an implementation and demonstrate that while there are some implementational pitfalls, […]
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V. Jithesh, K.P. Jacob
We consider the performance acceleration of the conventional Time Domain Backprojection and Kirchhoff Migration algorithms for imaging concealed targets. The Compute Unified Device Architecture (CUDA) and Open Computing Language (OpenCL) are used here for accelerating these algorithms on Graphics Processing Units (GPUs). Data generated by means of analytical methods, simulation and experiment are used for […]
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Philippe Helluy, Laurent Navoret, Nhung Pham, Anais Crestetto
In this paper we review two different numerical methods for Vlasov-Maxwell simulations. The first method is based on a coupling between a Discontinuous Galerkin (DG) Maxwell solver and a Particle-In-Cell (PIC) Vlasov solver. The second method only uses a DG approach for the Vlasov and Maxwell equations. The Vlasov equation is first reduced to a […]
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A. F. P. Camargos, V. C. Silva
We present a performance analysis of a parallel implementation of both conjugate gradient and preconditioned conjugate gradient solvers using graphic processing units with CUDA parallel programming model. The solvers were optimized for a fast solution of sparse systems of equations arising from Finite Element Analysis (FEA) of electromagnetic phenomena. The preconditioners were Incomplete Cholesky factorization […]
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