Acceleration of large-scale FDTD simulations on high performance GPU clusters

Ong, Cen; Weldon, M.; Cyca, D.; Okoniewski, M.

doi:10.1109/aps.2009.5171722

Cited by 14 publications

(10 citation statements)

References 2 publications

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“…For insufficiently large domains, the communication time might be comparable to the computation time, limiting the speed, and scalability of the simulations. An ideal linear scaling is thus very difficult to achieve on a GPU cluster when each individual node has enormous compute capability [7].…”

Section: Numerical Resultsmentioning

confidence: 99%

Parallelization of the FDTD method based on the open computing language and the message passing interface

Stefański

Chavannes

Kuster

2012

Micro & Optical Tech Letters

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A novel approach for parallelization of the finite‐difference time‐domain (FDTD) method based on open computing language (OpenCL) and the message passing interface (MPI) was presented. Because of the portability of OpenCL, the developed code targets not only distributed shared memory computer clusters based on multicore central processing units but also clusters accelerated by graphics processing units. Subsequently, this article shows the results of numerical tests to evaluate the hybrid MPI‐OpenCL FDTD solver in electromagnetic simulations. © 2012 Wiley Periodicals, Inc. Microwave Opt Technol Lett 54:785–789, 2012; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.26610

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Section: Numerical Resultsmentioning

confidence: 99%

Parallelization of the FDTD method based on the open computing language and the message passing interface

Stefański

Chavannes

Kuster

2012

Micro & Optical Tech Letters

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“…Interest in microwave imaging for medical applications has grown significantly since the early 1980s, but more prominently over the past decade. Much of the recent expansion has resulted from advances in technology that facilitate implementation of novel ultrawideband approaches [ 1 , 2 , 3 ] and the advent of powerful computing that can accommodate time-consuming inverse problems [ 4 , 5 , 6 ]. Microwave imaging offers important advantages over other emerging technologies.…”

Section: Introductionmentioning

confidence: 99%

Low Cost, High Performance, 16-Channel Microwave Measurement System for Tomographic Applications

Meaney

Hartov

Raynolds

et al. 2020

Sensors

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We have developed a multichannel software defined radio-based transceiver measurement system for use in general microwave tomographic applications. The unit is compact enough to fit conveniently underneath the current illumination tank of the Dartmouth microwave breast imaging system. The system includes 16 channels that can both transmit and receive and it operates from 500 MHz to 2.5 GHz while measuring signals down to −140 dBm. As is the case with multichannel systems, cross-channel leakage is an important specification and must be lower than the noise floors for each receiver. This design exploits the isolation inherent when the individual receivers for each channel are physically separate; however, these challenging specifications require more involved signal isolation techniques at both the system design level and the individual, shielded component level. We describe the isolation design techniques for the critical system elements and demonstrate specification compliance at both the component and system level.

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“…In addition, the use of clustered GPU for large-scale computing has also attracted widespread attention and has achieved an excellent acceleration experience. [18][19][20][21][22] In Section 2 of this article, we introduce the Maxwell iterative equation in LHM by using the ADE method. The CUDA framework and the realization of the ADE-FDTD in CUDA in Section 3.…”

Section: Introductionmentioning

confidence: 99%

Study on the propagation properties of TM electromagnetic wave in Lossy left‐handed material based on CUDA‐implemented parallel

Xiong

Liu

Xie

et al. 2018

Int J RF Microw Comput Aided Eng

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By using the method of Finite Difference Time Domain (FDTD) and the technology of Compute Unified Device Architecture (CUDA), the propagation characteristics of electromagnetic waves in Left‐Handed Materials (LHM) have been studied in this paper. The LHM slab was matched with the free space and the secondary focusing phenomenon of LHM was simulated. Compared with the serial FDTD program, our work showed that this method had a high accuracy. The phase compensation effect and the inverse Snell effect of LHM were also discussed by using the parallel FDTD method based on CUDA, which further proved that our results were consistent with the theoretical study. By comparing the calculation time of traditional FDTD program with that of the CUDA based parallel FDTD program, we conclude that the latter is more efficient than the former. This parallel method can be used as a more efficient way to study LHM.

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Acceleration of large-scale FDTD simulations on high performance GPU clusters

Cited by 14 publications

References 2 publications

Parallelization of the FDTD method based on the open computing language and the message passing interface

Parallelization of the FDTD method based on the open computing language and the message passing interface

Low Cost, High Performance, 16-Channel Microwave Measurement System for Tomographic Applications

Study on the propagation properties of TM electromagnetic wave in Lossy left‐handed material based on CUDA‐implemented parallel

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