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Using Programmable Graphics Hardware for Acoustics and Audio Rendering

机译:使用可编程图形硬件进行声学和音频渲染

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Over the last decade the architecture of graphics accelerators (GPUs) has evolved dramatically, outpacing traditional general purpose processors (CPUs) with an average 2.25-fold increase in performance every year. With massive processing capabilities and high-level programmability, current GPUs can be leveraged for applications far beyond visual rendering. An overview is offered of modern programmable GPUs and how they can be applied to acoustics and audio rendering for virtual reality or gaming applications. For tasks ranging from sound synthesis and audio signal processing to numerical acoustic simulations, GPUs' massive parallelism and dedicated instructions can offer a 5—100-fold performance improvement over traditional CPU implementations. Such benefits are illustrated with results from 3D audio processing and sound scattering simulations, and future opportunities for auralization on many-core processors are discussed.
机译:在过去的十年中,图形加速器(GPU)的体系结构发生了巨大的变化,以每年平均2.25倍的速度增长,超过了传统的通用处理器(CPU)。凭借强大的处理能力和高级可编程性,当前的GPU可以用于远远超出视觉渲染的应用程序。概述了现代可编程GPU,以及如何将它们应用于虚拟现实或游戏应用的声学和音频渲染。从声音合成和音频信号处理到数值声学模拟,GPU的大规模并行性和专用指令可将性能提高5到100倍,而传统CPU实施则可将其提高5到100倍。通过3D音频处理和声音散射仿真的结果说明了这种好处,并讨论了在多核处理器上进行听觉化的未来机会。

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