An efficient GPU-based time domain solver for the acoustic wave equation

Mehra, Ravish; Raghuvanshi, Nikunj; Savioja, Lauri; Manocha, Dinesh

doi:10.1016/j.apacoust.2011.05.012

Cited by 86 publications

(65 citation statements)

References 22 publications

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“…In this section, we present a fast and efficient wave-based sound propagation technique that solves the acoustic wave equation in time-domain, entirely on the GPU [20].…”

Section: Wave-based Sound Propagation In Time-domainmentioning

confidence: 99%

Wave-based sound propagation for VR applications

Mehra

Manocha

2014

2014 IEEE VR Workshop: Sonic Interaction in Virtual Environments (SIVE)

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Figure 1: The equivalent source technique accurately models realistic acoustic effects, such as diffraction, scattering, focusing, and echoes, in large, open scenes. It reduces the runtime memory usage by orders of magnitude compared to state-of-the-art wave solvers, enabling real-time, wave-based sound propagation in scenes spanning hundreds of meters: a) reservoir scene (Half-Life 2), b) Christmas scene, and c) desert scene. AbstractRealistic sound effects are extremely important in VR to improve the sense of realism and immersion. It augments the visual sense of the user and can help reduce simulation fatigue. Sound can provide 3D spatial cues outside field of view and help create high-fidelity VR training simulations. Current sound propagation techniques are based on heuristic approaches or simple line of sight-based geometric techniques. These techniques cannot capture important sound effects such as diffraction, interference, focusing. For VR applications, there is a need for high-fidelity, accurate sound propagation. In order to model sound propagation accurately, it is important to develop interactive wave-based propagation techniques. We present a set of efficient approaches to model wave-based sound propagation for VR applications that can handle large scenes, directional sound sources, and generate spatial sound, for a moving listener. Our technique has been integrated in Valve's Source game engine and we use it to demonstrate realistic acoustic effects such as diffraction, high-order reflection, interference, directivity, and spatial sound, in complex scenarios.

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“…In this section, we present a fast and efficient wave-based sound propagation technique that solves the acoustic wave equation in time-domain, entirely on the GPU [20].…”

Section: Wave-based Sound Propagation In Time-domainmentioning

confidence: 99%

Wave-based sound propagation for VR applications

Mehra

Manocha

2014

2014 IEEE VR Workshop: Sonic Interaction in Virtual Environments (SIVE)

Self Cite

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“…Ray casting using the GPU from the sound sources perspective into the scene generates a low resolution listener occlusion map which provides an occlusion weighting to the listener for use when passed to the audio engine. Mehra et al (Mehra et al, 2011) carefully map all the components of the domain decomposition algorithm to match the parallel processing capabilities of GPUs to gain considerable speed up compared to the corresponding CPU-based solver, whilst maintaining the same numerical accuracy in the solver.…”

Section: Gpu Accelerated Approachesmentioning

confidence: 99%

Acoustic Rendering and Auditory–Visual Cross‐Modal Perception and Interaction

Hulusić

Harvey

Debattista

et al. 2012

Computer Graphics Forum

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In recent years research in the three-dimensional sound generation field has been primarily focussed upon new applications of spatialised sound. In the computer graphics community the use of such techniques is most commonly found being applied to virtual, immersive environments. However, the field is more varied and diverse than this and other research tackles the problem in a more complete, and computationally expensive manner. Furthermore, the simulation of light and sound wave propagation is still unachievable at a physically accurate spatio-temporal quality in real-time. Although the Human Visual System (HVS) and the Human Auditory System (HAS) are exceptionally sophisticated, they also contain certain perceptional and attentional limitations. Researchers, in fields such as psychology, have been investigating these limitations for several years and have come up with findings which may be exploited in other fields. This paper provides a comprehensive overview of the major techniques for generating spatialised sound and, in addition, discusses perceptual and cross-modal influences to consider. We also describe current limitations and provide an in-depth look at the emerging topics in the field.

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“…These methods are relatively simple to implement and they are amenable to parallel computing architectures, such as graphics processing units (GPUs) [10][11][12]. In comparison to wave-based methods employing non-local spectral operators (e.g., [4,6]), finite difference methods-operating locally in space-are more adaptable to impedance boundary truncation over irregular domains, possibly through extensions to finite volume techniques [13,14].…”

Section: Introductionmentioning

confidence: 99%

“…As opposed to geometric (ray-based) methods [1], wave-based methods offer a complete description of room acoustics, at least in theory [2]. Among the various types of wave-based methods available for room acoustics applications (e.g., [3][4][5][6]), finite difference methods that approximate the wave equation over regular grids, or finite difference time domain (FDTD) methods [7][8][9], are popular choices. These methods are relatively simple to implement and they are amenable to parallel computing architectures, such as graphics processing units (GPUs) [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Optimised 25-point finite difference schemes for the three-dimensional wave equation

Hamilton

Bilbao

2016

Proceedings of Meetings on Acoustics

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Abstract:Wave-based methods are increasingly viewed as necessary alternatives to geometric methods for room acoustics simulations, as they naturally capture wave phenomena like diffraction and interference. For methods that simulate the three-dimensional wave equation-and thus solve for the entire acoustic field in an enclosed space-computational costs can be high, so efficient algorithms are critical. In terms of computational complexity, finite difference schemes are possibly the simplest such algorithms, but they are known to suffer from numerical dispersion. High-order and optimised schemes can offer improved numerical dispersion, and thus, computationally efficient numerical solutions. In this paper, we consider two families of explicit finite difference schemes for the second-order wave equation in three spatial dimensions, using 25-point stencils on the Cartesian grid. We review known special cases that lead to high-order accuracy in space (and possibly in time), and we present new schemes with optimised stencil coefficients. These schemes provide accurate wave simulation using substantially less memory than the conventional scheme. Simulations are presented to demonstrate the performance of the optimised schemes.

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An efficient GPU-based time domain solver for the acoustic wave equation

Cited by 86 publications

References 22 publications

Wave-based sound propagation for VR applications

Wave-based sound propagation for VR applications

Acoustic Rendering and Auditory–Visual Cross‐Modal Perception and Interaction

Optimised 25-point finite difference schemes for the three-dimensional wave equation

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