CUDA在电动力学和机电一体化中的应用

K. Mrowca
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引用次数: 0

摘要

信息技术是一门发展迅速的科学。目前,基于GPGPU(通用图形处理单元)的技术正变得越来越重要。几年前,GPU的设计仅仅是为了处理图形数据。GPGPU支持对各种数据进行计算。这一创新带来了计算性能的巨大提升。GPGPU是2003年开发的。这项技术直到2006年才在市场上可用,当时nVidia推出了第一款GPGPU (GeForce G80)。该架构(数百核)可以与特殊程序(适应GPGPU要求的应用程序)并行工作,显示出巨大的效率。计算机模拟通常会吸收相当大的计算能力,并且持续时间长。通过实现并行数据处理,可以减少这种不利因素。部分(或全部)数据可以在GPGPU上计算,而不是CPU。本文的主要目的是指出GPGPU在日常科学工作中发挥潜力的途径。基础研究基础是分析GPGPU在电动力学和机电一体化方面的可能应用。此外,通过文献研究证实了调查结果,显示了节省时间和提高性能等好处。
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CUDA usage in electrodynamics and mechatronics
IT is a kind of science which develops fast. Nowadays the GPGPU (General Purpose Graphic Processing Unit) based technology is gaining on the importance. Few years ago, GPU was designed only to process the graphic data. The GPGPU enables computation on all kinds of data. This innovation brings computing performance huge boost. The GPGPU have been developed since year 2003. The technology was not available on the market till 2006, when the first GPGPU have been introduced by nVidia (GeForce G80). The architecture (hundreds of cores) enables parallel work together with special programs (the application adapted to GPGPU requirements), indicate huge efficiency. Computer simulations usually absorb considerable amount of computing power and last long. The unfavorable factor can be reduced by implementation of parallel data processing. Part (or the whole) data can be computed on GPGPU instead of CPU. Main aim of the paper is to point the ways of exploiting the potential of GPGPU in daily scientific work. Fundamental research base is analysis of possible usage of GPGPU in electrodynamics and mechatronics. Moreover, investigation is proved by literature research, which shows the profits like time savings and performance boost.
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