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Description: CUDA Ray tracer, 3D-DDA algorithm in homogeneous medium. Useful for wave-eq. approximation, with respect of wavefront propagation, and so applicable for imaging, sound and seismic simulations.
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Size: 2111988 |
Author: Mario Vigliar |
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Description: CUDA Ray tracer, 3D-DDA algorithm in homogeneous medium. Useful for wave-eq. approximation, with respect of wavefront propagation, and so applicable for imaging, sound and seismic simulations.
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Size: 2624512 |
Author: Mario Vigliar |
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Description: 利用NIVIDIA公司的GPU编程SDK CUDA进行聚类分析-Using CUDA for hierachy clustering taking advantages of Pararell programming
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Size: 1089536 |
Author: zeng qin |
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Description: 3D FFT 在CUDA下的并行实现，使用类型实数到复数的3D FFT变换-3D FFT for real to complex on CUDA
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Size: 247808 |
Author: WangLi |
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Description: 3D Object recognition in 3D scenes using CUDA
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Size: 3072 |
Author: 叶杰 |
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Description: Simple program which demonstrates Direct3D11 texture interoperability with CUDA. The program creates a number of D3D11 textures (2D, 3D, and CubeMap) which are written to from CUDA kernels. Direct3D then renders the results on the screen. A Direct3D Capable device is required.
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Size: 1874944 |
Author: MT |
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Description: LBM-C is a lattice Boltzmann 2D and 3D fluid flow solver implemented using nVidia s CUDA platform. LBM-C is written in CUDA C and is licensed under GPL v2, you are invited to use, alter and improve upon LBM-C at your own discretion.
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Size: 1894400 |
Author: ass |
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Description: 使用cuda加速计算，实现光线追踪的简单例子。本程序实现20个随机小球的3d绘制。-Use cuda accelerated computing, simple example of ray tracing. This procedure to achieve 20 random ball 3d rendering.
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Size: 13072384 |
Author: 刘忠源 |
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Description: 图像处理 并行处理 matlab Since images can be represented by 2D or 3D matrices and the MATLAB processing engine
relies on matrix representation of all entities, MATLAB is particularly suitable for implemen‐
tation and testing of image processing workflows. The Image Processing Toolbox
™
(IPT)
includes all the necessary tools for general-purpose image processing incorporating more than
300 functions which have been optimised to offer good accuracy and high speed of processing.
Moreover, the built-in Parallel Computing Toolbox
™
(PCT) has recently been expanded and
now supports graphics processing unit (GPU) acceleration for some functions of the IPT.
However, for many image processing applications we still need to write our own code, either
in MATLAB or, in the case of GPU-accelerated applications requiring specific control over
GPU resources, in CUDA (Nvidia Corporation, Santa Clara, CA, USA).-the first part is dedicated to some essential tools of the IPT that can be used in
image analysis and assessment as well as in extraction of useful information for further
processing and assessment. These include retrieving information about digital images, image
adjustment and processing as well as feature extraction and video handling. The second part
is dedicated to GPU acceleration of image processing techniques either by using the built-in
PCT functions or through writing our own functions. Each section is accompanied by MAT‐
LAB example code.
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Size: 629760 |
Author: 阿新 |
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Description: 离散单元法中流固耦合部分圆形颗粒描述的多场耦合现象-DEM CFD-DEM COUPPLING
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Size: 13707264 |
Author: dmkuang |
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Description: 利用格子波尔兹曼方法求解三维流体问题，利用CUDA加速迭代过程。是单个CPU运算速度的20倍。(Here we use the Lattice Boltzmann Method to solve a problem of 3D fluid dynamics with the help of CUDA. It is 20 times the speed of a single CPU operation.)
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Size: 140288 |
Author: 胖神
|
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