Accelerating Simulations of Light Scattering Based on Finite-Difference Time-Domain Method with General Purpose GPUs

Balevic, Ana; Rockstroh, L.; Tausendfreund, Andreas; Patzelt, Stefan; Goch, G.; Simon, Sven

doi:10.1109/cse.2008.16

Cited by 30 publications

(20 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…As commercial sectors like Remcom, Computer Simulation Technology (CST), Acceleware, SPEAG, and Agilent have integrated the GPU-accelerated FDTD technique into their software packages for the analysis of electromagnetic fields in normal and complex media, researchers in academia have also focused on taking advantage of inherent attributes of the GPUs for parallel computing. Such implementations that use the CUDA technology include the works presented in [3] and [4] originally, and the research presented by Sypek et al for a TM z solution of electromagnetic fields [5], the double precision implementation of the FDTD on the Tesla GPU [6], and the work reported by Okoniewski's group [7], more recently.…”

Section: Introductionmentioning

confidence: 99%

Analysis of 3-Dimensional Electromagnetic Fields in Dispersive Media Using Cuda

Zunoubi

Payne²

2011

PIER M

View full text Add to dashboard Cite

Abstract-This research presents the implementation of the FiniteDifference Time-Domain (FDTD) method for the solution of 3-dimensional electromagnetic problems in dispersive media using Graphics Processor Units (GPUs). By using the newly introduced CUDA technology, we illustrate the efficacy of GPUs in accelerating the FDTD computations by achieving appreciable speedup factors with great ease and at no extra hardware/software cost. We validate our approach by comparing the results with their corresponding simulated results obtained from Remcom's XFDTD software.

show abstract

Section: Introductionmentioning

confidence: 99%

Analysis of 3-Dimensional Electromagnetic Fields in Dispersive Media Using Cuda

Zunoubi

Payne²

2011

PIER M

View full text Add to dashboard Cite

show abstract

“…GPUs have been applied extensively to problems where the domain is discretised via a structured grid (e.g. [17,18,19]), which results in uniform relationships between the variables. This greatly simplifies memory addressing and aids the design of an efficient solution to allocate data to each block.…”

Section: Introductionmentioning

confidence: 99%

Accelerated finite element elastodynamic simulations using the GPU

Huthwaite

2014

Journal of Computational Physics

169

121

View full text Add to dashboard Cite

“…GPUs have been used for various finite-difference scheme codes with good results [73][74][75][76][77][78]. In Ref.…”

Section: Code Parallelism With Graphics Processing Unitsmentioning

confidence: 99%

“…In order to greatly speedup the codes, it is vital to use the per-block shared memory in the computation whenever any global memory space is needed to be accessed [75]). Another solution is to set up the grid to overlap the boundary cells so that all threads copy values into shared memory as before, but only the interior threads of the block perform the computations, which can be performed using only shared memory.…”

Section: One-dimensional Specific Code Designmentioning

confidence: 99%

See 1 more Smart Citation

Study of Vortex Ring Dynamics in the Nonlinear Schrödinger Equation Utilizing GPU-Accelerated High-Order Compact Numerical Integrators

Carretero-González

Caplan

View full text Add to dashboard Cite

We numerically study the dynamics and interactions of vortex rings in the nonlinear Schrödinger equation (NLSE). Single ring dynamics for both bright and dark vortex rings are explored including their traverse velocity, stability, and perturbations resulting in quadrupole oscillations. Multi-ring dynamics of dark vortex rings are investigated, including scattering and merging of two colliding rings, leapfrogging interactions of co-traveling rings, as well as co-moving steady-state multi-ring ensembles.Simulations of choreographed multi-ring setups are also performed, leading to intriguing interaction dynamics.Due to the inherent lack of a closed form solution for vortex rings and the dimensionality where they live, efficient numerical methods to integrate the NLSE have to be developed in order to perform the extensive number of required simulations. To facilitate this, compact high-order numerical schemes for the spatial derivatives are developed which include a new semi-compact modulus-squared Dirichlet boundary condition. The schemes are combined with a fourth-order Runge-Kutta time-stepping scheme in order to keep the overall method fully explicit. To ensure efficient use of the schemes, a stability analysis is performed to find bounds on the largest usable time step-size as a function of the spatial step-size.The numerical methods are implemented into codes which are run on NVIDIA graphic processing unit (GPU) parallel architectures. The codes running on the GPU are shown to be many times faster than their serial counterparts. The codes are developed with future usability in mind, and therefore are written to interface with MATLAB utilizing custom GPU-enabled C codes with a MEX-compiler interface. The codes are combined into a software package called NLSEmagic which is freely distributed on a dedicated website allowing reproducibility of the simulations presented in the study.vi

show abstract

Accelerating Simulations of Light Scattering Based on Finite-Difference Time-Domain Method with General Purpose GPUs

Cited by 30 publications

References 6 publications

Analysis of 3-Dimensional Electromagnetic Fields in Dispersive Media Using Cuda

Analysis of 3-Dimensional Electromagnetic Fields in Dispersive Media Using Cuda

Accelerated finite element elastodynamic simulations using the GPU

Study of Vortex Ring Dynamics in the Nonlinear Schrödinger Equation Utilizing GPU-Accelerated High-Order Compact Numerical Integrators

Contact Info

Product

Resources

About