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An Improved Parallel Implementation of 3D DRIE Simulation on GPU

机译:在GPU上改进了3D Drie仿真的平行实现

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Deep reactive ion etching (DRIE) technique is a new and powerful tool in Micro-Electro-Mechanical Systems (MEMS) fabrication. A 3D DRIE simulation can help researcher understand the time-evolution of Bosch process used in DRIE. Due to the high complexity of the algorithm used in the simulation, it is necessary to develop an algorithm that can accelerate the simulation. This paper presents a parallel implementation of the 3D DRIE simulation based on GPU, built on Nvidia's Compute Unified Device Architecture (CUDA) platform. This paper also presents a fast morphological operation, which reduces the complexity of mathematical morphology operation part of the algorithm from O(N~3) to O(N~2). The experiment results show the parallel program on Nvidia GTX260+ GPU obtains about 70x to 75x speedup over the 4-threads parallel version on Intel Q6600 CPU.
机译:深度反应离子蚀刻(DRIE)技术是微电机械系统(MEMS)制造的新型和强大的工具。 3D Drie仿真可以帮助研究人员了解Drie中使用的博世过程的时间演变。由于模拟中使用的算法的高复杂性,有必要开发一种可以加速模拟的算法。本文介绍了基于GPU的3D Drie仿真的平行实现,基于NVIDIA的计算统一设备架构(CUDA)平台。本文还提出了快速的形态学操作,这降低了从O(n〜3)到O(n〜2)的算法的数学形态学操作部分的复杂性。实验结果显示了NVIDIA GTX260 + GPU上的并行程序在英特尔Q6600 CPU上的4线路并行版本上获得约70倍至75倍的加速。

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