scholarly journals Opal: An open source ray-tracing propagation simulator for electromagnetic characterization

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0260060
Author(s):  
Esteban Egea-Lopez ◽  
Jose Maria Molina-Garcia-Pardo ◽  
Martine Lienard ◽  
Pierre Degauque
Keyword(s):  
Ray Tracing ◽  
High Frequency ◽  
Maxwell Equations ◽  
Simulation Tool ◽  
Game Engine ◽  
Electromagnetic Propagation ◽  
Graphical Processing Units ◽  
3D Environments ◽  
Graphical Processing ◽  
Frequency Approximation

Accurate characterization and simulation of electromagnetic propagation can be obtained by ray-tracing methods, which are based on a high frequency approximation to the Maxwell equations and describe the propagating field as a set of propagating rays, reflecting, diffracting and scattering over environment elements. However, this approach has been usually too computationally costly to be used in large and dynamic scenarios, but this situation is changing thanks the increasing availability of efficient ray-tracing libraries for graphical processing units. In this paper we present Opal, an electromagnetic propagation simulation tool implemented with ray-tracing on graphical processing units, which is part of the Veneris framework. Opal can be used as a stand-alone ray-tracing simulator, but its main strength lies in its integration with the game engine, which allows to generate customized 3D environments quickly and intuitively. We describe its most relevant features and provide implementation details, highlighting the different simulation types it supports and its extension possibilites. We provide application examples and validate the simulation on demanding scenarios, such as tunnels, where we compare the results with theoretical solutions and further discuss the tradeoffs between the simulation types and its performance.

Improved applicability of ray tracing in seismic acquisition, imaging, and interpretation

Geophysics ◽  
2007 ◽  
Vol 72 (5) ◽  
pp. SM261-SM271 ◽  
Author(s):  
Håvar Gjøystdal ◽  
Einar Iversen ◽  
Isabelle Lecomte ◽  
Tina Kaschwich ◽  
Åsmund Drottning ◽  
...  
Keyword(s):  
Ray Tracing ◽  
High Frequency ◽  
Numerical Solutions ◽  
Ray Method ◽  
Rapid Changes ◽  
Exploration And Production ◽  
Seismic Acquisition ◽  
Elementary Waves ◽  
Process Elements ◽  
Frequency Approximation

Ray-based seismic modeling methods can be applied at various stages of the exploration and production process. The standard ray method has several advantages, e.g., computational efficiency and the possibility of simulating propagation of elementary waves. As a high-frequency approximation, the method also has a number of limitations, particularly with respect to a lack of amplitude reliability in the presence of rapid changes of the model functions representing elastic parameters and interfaces. Given the objective of improving the applicability of the standard ray method, we present a strategy that does not require specific extension to finite frequencies. Instead, we define each ray-based process as an element of a system that, as a composite process, is able to obtain better results than the ray-based process applied alone. Other elements of the composite process can be finite-difference modeling or numerical solutions for surface and volume integrals, which are basic constituents of Kirchhoff modeling and imaging. We also include among the process elements recently developed techniques for simulating the migration amplitude on a target reflector and in a local volume, e.g., a reservoir zone. The model is decomposed according to its complexity into volume elements, surface elements, or a combination. The composite process consists of a specified interaction between process elements and model elements, which fits well with the philosophy of modern software design. Model elements that will be exposed to ray-tracing algorithms may need appropriate preparation, e.g., smoothing and resampling. We demonstrate specifically, in a tutorial example, that simulating the seismic response from a reflector by ray-based composite processes can yield better results than applying standard ray tracing alone.

A practical implementation of acoustic full waveform inversion on graphical processing units

2015 ◽  
Vol 6 (2) ◽  
pp. 5-16 ◽  
Author(s):  
Sergio Alberto Abreo Carrillo ◽  
Ana B. Ramirez ◽  
Oscar Reyes ◽  
David Leonardo Abreo-Carrillo ◽  
Herling González Alvarez
Keyword(s):  
Waveform Inversion ◽  
Practical Implementation ◽  
Full Waveform Inversion ◽  
Full Waveform ◽  
Graphical Processing Units ◽  
Graphical Processing

High Frequency Electromagnetic Propagation/Scattering

2000 ◽  
Author(s):  
Vladimir Oliker ◽  
Bjorn Engquist ◽  
Stanley Osher
Keyword(s):  
High Frequency ◽  
Electromagnetic Propagation

scholarly journals Ray Tracing Modeling of Electromagnetic Propagation for On-Chip Wireless Optical Communications

2018 ◽  
Vol 8 (4) ◽  
pp. 39 ◽  
Author(s):  
Franco Fuschini ◽  
Marina Barbiroli ◽  
Marco Zoli ◽  
Gaetano Bellanca ◽  
Giovanna Calò ◽  
...  
Keyword(s):  
Ray Tracing ◽  
Path Loss ◽  
Wireless Channel ◽  
Electromagnetic Propagation ◽  
Networks On Chip ◽  
Spatial Properties ◽  
Radiation Properties ◽  
Wireless Optical Communications ◽  
On Chip ◽  
The Relationship

Multi-core processors are likely to be a point of no return to meet the unending demand for increasing computational power. Nevertheless, the physical interconnection of many cores might currently represent the bottleneck toward kilo-core architectures. Optical wireless networks on-chip are therefore being considered as promising solutions to overcome the technological limits of wired interconnects. In this work, the spatial properties of the on-chip wireless channel are investigated through a ray tracing approach applied to a layered representation of the chip structure, highlighting the relationship between path loss, antenna positions and radiation properties.

Using GPUs to compute fast Fourier transforms for crystal structure solution and refinement

2013 ◽  
Vol 46 (3) ◽  
pp. 594-600 ◽  
Author(s):  
ElSayed Mohamed Shalaby ◽  
Miguel Afonso Oliveira
Keyword(s):  
Crystal Structure ◽  
Fourier Transformation ◽  
Fourier Transforms ◽  
Fast Fourier Transformation ◽  
Parallel Calculations ◽  
The Past ◽  
Graphical Processing Units ◽  
Software Algorithms ◽  
Structure Solution ◽  
Graphical Processing

In the past few years, new hardware tools have become available for computing using the graphical processing units (GPUs) present in modern graphics cards. These GPUs allow efficient parallel calculations with a much higher throughput than microprocessors. In this work, fast Fourier transformation calculations used inSIR2011software algorithms have been carried out using the power of the GPU, and the speed of the calculations has been compared with that achieved using normal CPUs.

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