GPU Parallelization of Physical Optics on Parametric Surfaces-AMA TLAB-Based Implementation

Vahdani, Reza; Pishnamaz, Seyed Moein; Mohtashami, Vahid

doi:10.1109/icee.2018.8472695

Cited by 1 publication

(4 citation statements)

References 6 publications

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“…Examples of those techniques are matrix preallocation, script coding, vectorization and preventing back-and-forth memory swap between GPU dedicated RAM and the computer RAM. 11…”

Section: Numerical Resultsmentioning

confidence: 99%

“…To provide a fair comparison, efficient coding techniques have been implemented both on CPU and GPU. Examples of those techniques are matrix preallocation, script coding, vectorization and preventing back‐and‐forth memory swap between GPU dedicated RAM and the computer RAM 11 …”

Section: Numerical Resultsmentioning

confidence: 99%

“…The authors also improved the computational efficiency of two sample scattering problems by GPU programming. 11 The processing power of GPU provides a means of optimizing the shape of object such that the scattered field level is minimized in desired directions.…”

Section: Introductionmentioning

confidence: 99%

“…In References 8–10, the shooting and bouncing ray tracing together with PO integral calculation are performed using compute unified device architecture (CUDA). The authors also improved the computational efficiency of two sample scattering problems by GPU programming 11 . The processing power of GPU provides a means of optimizing the shape of object such that the scattered field level is minimized in desired directions.…”

Section: Introductionmentioning

confidence: 99%

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Parallel body‐shaping of electrically large objects described by NURBS surfaces

Vahdani

Saraee

Mohtashami

2022

Int J RF Mic Comp-Aid Eng

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This article presents a systematic procedure to shape the body of an electrically large object in order to achieve a desired radiation/scattering pattern. In particular, the object surface is described by non-uniform rational B-splines (NURBS) and physical optics (PO) is used for electromagnetic field calculations. The NURBS control points and weights are considered as degrees of freedom for an evolutionary optimization algorithm. They are iteratively optimized according to the specific constraints of radiation/scattering problem under consideration. To speedup the optimization process, the electromagnetic codes are implemented on graphics processing unit (GPU). The accuracy of the simulation results are verified by CST commercial electromagnetic software. Furthermore, the results show simulation speedup on the order of several times to a few tens of times. This makes an iterative optimization of a surface rather practical on a single personal computer.

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“…Examples of those techniques are matrix preallocation, script coding, vectorization and preventing back-and-forth memory swap between GPU dedicated RAM and the computer RAM. 11…”

Section: Numerical Resultsmentioning

confidence: 99%

Section: Numerical Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations