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GPU Based Sound Simulation and Visualization

机译:基于GPU的声音模拟和可视化

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摘要

As the era of Moore's Law and increasing CPU clock rates nears its stopping point the focus of chip and hardware design has shifted to increasing the number of computation cores present on the chip. This increase can be most clearly seen in the rise of Graphic Processing Units (GPU) where hundreds or thousands of slower cores work in parallel to accomplish tasks. Programming for these chips represents a new set of challenges and concerns. A visualization of sound waves in the room was desired so that phenomena like standing waves could be quickly identified. In order to produce the visualization quickly, some form of acceleration would be required. The GPU was chosen as the accelerator using CUDA to produce the data for the simulation. The prototype was tested on a computer with an Intel Core2 Quad core CPU Q9450 and an NVidia GeForce GTX 480 GPU which contains 15 groupings of 32 compute cores for a total of 480 compute cores and has 1.5 GB of on board memory.
机译:作为摩尔定律的时代,增加CPU时钟速率接近其停止点的芯片和硬件设计的焦点转移到增加芯片上存在的计算核心数。在图形处理单元(GPU)的崛起中可以最清楚地看到这种增加,其中数百或数千次较慢的核心并行工作,以完成任务。这些芯片的编程代表了一系列新的挑战和疑虑。期望房间中声波的可视化,使得可以快速识别出站立波等现象。为了快速产生可视化,将需要某种形式的加速度。使用CUDA选择GPU作为加速器,以产生模拟的数据。在具有英特尔Core2四核CPU Q9450和NVIDIA GeForce GTX 480 GPU的计算机上测试了原型,其中包含15个组合核心的15个分组,总共480个计算核心,并且在船上内存有1.5 GB。

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