Graphics Processing Unit

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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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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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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Through the advantages of GPU ( Graphic Processing Unit) in graphics processing, the paper improves SIFT algorithm, efficiency of UAV data automatic registration and solves the problem of mass UAV data processing bottleneck.

并通过GPU（Graphic Processing Unit）在图形处理方面的优势，改进彩色SIFT算法，提高无人机图像自动配准效率，解决海量的无人机任务数据处理的瓶颈问题。

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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（graphics processing unit，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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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level set的加速算法。

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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（graphics processing unit，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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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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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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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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