graphics processing unit
- 网络图形处理单元;图形处理器;绘图处理单元;理器
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Imaging Algorithm of Synthetic Aperture Radar Based on Graphics Processing Unit
基于图形处理器的合成孔径雷达成像算法
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Computation of Lattice Boltzmann Method Based on Graphics Processing Unit
基于图形处理器的格子Boltzmann方法计算
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3D Medical Image Hybrid Visualization System Based on Graphics Processing Unit
基于GPU的三维医学图像混合可视化系统
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Research on Graphics Processing Unit ( GPU ) Based Bricking Ray Casting Method
基于图形处理器(GPU)的分块光线投射算法
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This is done directly on the phone , using the iPhone 's graphics processing unit .
iPhone图形处理器可以直接在手机上完成这一工作。
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The appearance of programmable GPU ( Graphics Processing Unit ) provides a possible approach for solving the above problem .
可编程GPU(graphicsprocessingunit)的出现,为解决上述问题提供了一条可能的途径。
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In view of the high expansion performance , the three dimensional modeling in the platform was realized by using programmable graphics processing unit .
针对这种平台的高扩展性能,以前不能进行的嵌入式复杂三维建模现在可以通过使用可编程图形处理器实现。
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The GPU ( graphics processing unit ) on many modern graphics cards requires a heatsink and fan .
在GPU(图形处理单元)在许多现代显卡需要一个散热片和风扇。
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Finally , maximum intensity projection ( MIP ) method rendering medical volume data have been implemented based on programmable Graphics Processing Unit .
最后基于可编程GPU实现了医学体数据的快速最大密度投射体绘制方法。
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In this work , we implement the traditional ray-casting-based volume rendering algorithm on the programmable graphics processing unit ( GPU ) .
将传统的光线投射体绘制算法在具有可编程管线的图形处理器(GPU)上重新实现。
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With the development in science and technology , the programmable Graphics Processing Unit ( GPU ) makes it possible for transferring the considerable calculation from CPU to GPU .
随着科学技术不断发展,可编程图形硬件的出现使得大量的图形计算从CPU转移至GPU成为可能。
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In this paper , an new accelerating algorithm of level set method is presented which is implemented on the new generation of graphics processing unit ( GPU ) instead of on CPU .
给出了利用新一代的可编程图形处理器(GPU)实现levelset的加速算法。
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The components and specifications of the engineering workstation are given and the technique advances of its computing unit , graphics processing unit , architecture , etc. , are analysed in detail .
本文给出了工程工作站组成与性能指标分析,重点介绍工程工作站技术在运算部件、图形处理部件以及体系结构等方面的进展,最后总结了工程工作站成功的技术因素。
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With the advancement of Graphics Processing Unit ( GPU ) and the creation of its new feature of programmability , many algorithms have been successfully transferred to GPU .
随着图形处理器(GPU)性能的大幅度提升以及可编程性的发展,已经有许多算法成功地移植到GPU上。
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For many years , with the advancement of Graphics Processing Unit and the creation of its new feature of programmability , scientists begin to use GPU to do general purpose computation .
随着图形处理器(GPU)性能的突飞猛进,以及GPU可编程特性的发展,人们开始将GPU应用到通用计算领域(GPGPU)。
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A single-pass ray-casting algorithm is developed based on GPU ( graphics processing unit ), and on the basis of this algorithm an accelerated algorithm is proposed based on space leaping technique .
实现了一种基于图形处理器的单步光线投射算法,并在此基础上提出了一种基于空间跳跃技术的光线投射算法,以实现加速。
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With the efficient use of computation capacity and programmability provided by graphics processing unit ( GPU ) of underlying graphics hardware , most of computation from CPU are isolated .
通过有效利用图形硬件的图形处理单元(GPU)的运算能力和可编程性,将大量计算从CPU分离出来。
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Modern Graphics Processing Unit ( or GPU ) has powerful parallel computing capability , and thus using GPU to accelerate the real time rendering of highly detailed surfaces is an effective approach .
GPU处理具有较高的并行度,利用GPU对细节复杂模型的绘制进行加速是一个有效加速途径。
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Another unique characteristic is using OpenGL Shading Language , which takes use of the computing power of the Graphics Processing Unit to alleviate the load on CPU to accelerate the parallel rendering efficiency .
其次,材质的编写应用了OpenGL的着色语言技术,充分利用图彤处理单元的计算能力,减轻CPU的负载,从而整体上提高并行渲染的效率。
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In recent years , with the continuous development of the Graphics Processing Unit ( GPU ), its powerful parallel computing ability attracts a lot of developers to study the GPU-based general-purpose computing .
最近几年,随着计算机图形处理器(GPU)技术的不断进步,其优秀的并行计算能力吸引着许多开发人员来研究基于GPU的通用计算。
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Recently , GPU ( Graphics Processing Unit ) has been widely used in high-performance computing applications such as biomedical , financial analysis , physical simulation and database processing due to powerful computing capability of GPU .
近年来,GPU(graphicsprocessingunit,图形处理单元)已被成功地应用于生物医学、金融分析、物理模拟、数据库处理等高性能计算应用,大大扩展了GPU的应用领域。
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In this thesis , we focus on the techniques of GPU ( Graphics Processing Unit ) based volume rendering . We propose to seek for a tradeoff between the realistic effects and interactive performance .
本文重点研究基于通用图形处理器(GPU)的直接体绘制技术,力图在绘制的真实感与交互性能之间寻求一个良好的平衡,最终设计实现能够具有应用价值的可视化处理系统。
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The general purpose processor is used to decode the compressed parameters and the graphics processing unit is responsible for projecting the 3D model to the original viewpoint so as to restore the video object .
通用处理器负责参数的解码,图形处理器利用绘制方法将解压后的3D模型重新投影到原始拍摄视点下以还原原始视频对象。
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While people pursue the cost-effective parallel super-computer system , some dedicated computing components play their powerful parallel computing power in many special areas , Graphics Processing Unit , GPU , is one of them for image processing and general purpose computation .
在人们追求高性价比的并行计算机系统的同时,在许多专用领域的专用计算部件也发挥着其强大的并行计算能力。图形处理器(GPU,graphicsprocessingunit)就是一种用于通用计算的专用加速部件。
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In fact , the latest iPad already has a graphics processing unit more powerful than what will be shipping in the new Wii U & a fact pointed out in many gaming-oriented reviews of the new Apple product .
实际上,最新一代iPad的图形处理单元已经比新款WiiU更强劲了&许多针对新款苹果产品游戏性能的评测都谈到了这一点。
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The new device sports a 1.2 GHz processor , graphics processing unit ( GPU ) , 768 MB ram , 2.8-inch touschscreen , 5-megapixel camera with 720P HD video recording capability , and 8 GB of onboard storage .
该款新手机将配备1.2GHz处理器、图形处理单元(GPU)、768MB内存、2.8英寸触摸屏、支持720p高清录像功能的500万像素摄像头以及8GB内置存储空间。
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Techniques of programmable vertex shader and pixel shader have been integrated in newly developed graphics hardware armed with powerful Graphics Processing Unit ( GPU ) in recent years , and as a result , real-time volume rendering can be implement .
新一代的图形显示硬件集成了以图形处理器(graphicsprocessingunit,GPU)为核心的可编程顶点着色器和可编程像素着色器,为实现实时体绘制技术提供了硬件加速支持。
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At the same time , with the rapid development of Internet industry and the continuous upgrading of computer hardware performance , General-purpose computing on graphics processing units based on the GPU ( graphics processing unit ) become a hot topic to gradually study by the industry .
随着互联网产业的快速发展和计算机硬件性能的不断提升,基于GPU(图形处理单元)的通用加速计算成为业内开始研究的一大热点。