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GPU优化的小波变换,将cpu的计算移到GPU执行-the wavelet transform by GPU optimized,shift the compute of the CPU to GPU perform
Update : 2008-10-13 Size : 5.48mb Publisher : jim

一个五脏俱全的 CPU+GPU软非编 工程,两路视频混合,实现了几个特技,能够输出AVI。起个抛砖引玉的作用,有意者请继续完善,然后将作品发表出来共享,实现共同进步。注意两路视频中,不要两路都是DVD文件,最好两路视频都是MP4,或是都未加压的AVI。 -converted a soft CPU-GPU series, two video mixing, achieving several stunts output to AVI. Take a stimulus by interested are invited to continue to improve, and then released in sharing works, and achieving common progress. Note 2 video, the two roads are not DVD, the best two-way video MP4 are, or did not pressurized AVI.
Update : 2008-10-13 Size : 41.11kb Publisher : 刘旭

个五脏俱全的 CPU+GPU软非编 工程,两路视频混合,实现了几个特技,能够输出AVI。起个抛砖引玉的作用,有意者请继续完善,然后将作品发表出来共享,实现共同进步。注意两路视频中,不要两路都是DVD文件,最好两路视频都是MP4,或是都未加压的AVI。
Update : 2008-10-13 Size : 41.08kb Publisher : 庞林娟

Onloaded Shadows uses WARP to run the shadow map generation asynchronously on the CPU. Testing shows that Onloading Shadow map generation onto the CPU is significantly faster than any comparable GPU technique on machines with Intel integrated graphics. This technique is also viable for certain kinds of discrete graphics cards when properly optimized.
Update : 2011-05-27 Size : 494.73kb Publisher : ericchang

GPU优化的小波变换,将cpu的计算移到GPU执行-the wavelet transform by GPU optimized,shift the compute of the CPU to GPU perform
Update : 2025-02-17 Size : 5.48mb Publisher : jim

一个五脏俱全的 CPU+GPU软非编 工程,两路视频混合,实现了几个特技,能够输出AVI。起个抛砖引玉的作用,有意者请继续完善,然后将作品发表出来共享,实现共同进步。注意两路视频中,不要两路都是DVD文件,最好两路视频都是MP4,或是都未加压的AVI。 -converted a soft CPU-GPU series, two video mixing, achieving several stunts output to AVI. Take a stimulus by interested are invited to continue to improve, and then released in sharing works, and achieving common progress. Note 2 video, the two roads are not DVD, the best two-way video MP4 are, or did not pressurized AVI.
Update : 2025-02-17 Size : 41kb Publisher : 刘旭

UNC GAMMA group发布的这个高性能FFT库可以处理大量1D FFT。实验表明,价值$500的Nvidia 7900 GPU的FFT计算速度是价格$1500-$2000的高端CPU的4倍,事实上,7900 GPU的FFT计算性能可以达到6 GFLOPS。-UNC GAMMA group releases of this high-performance FFT library can handle large FFT 1D. Experiments show that value $ 500 Nvidia 7900 GPU speed FFT calculation is the price $ 1500-$ 20 00 high-end CPU four times, in fact, the FFT 7900 GPU computing performance can be achieved six GFLOPS.
Update : 2025-02-17 Size : 214kb Publisher : lishi

DL : 0
基于最新一代通用GPU--Geforce8800,在CUDA平台上开发的矩阵乘法的例子,比CPU版本性能有非常大的提高。保留了可执行程序-based on the latest generation of common GPU-- Geforce8800. CUDA platform in the development of the matrix multiplication example, than CPU performance version of a very big increase. Retained the executable
Update : 2025-02-17 Size : 1.5mb Publisher : 白洪涛

个五脏俱全的 CPU+GPU软非编 工程,两路视频混合,实现了几个特技,能够输出AVI。起个抛砖引玉的作用,有意者请继续完善,然后将作品发表出来共享,实现共同进步。注意两路视频中,不要两路都是DVD文件,最好两路视频都是MP4,或是都未加压的AVI。
Update : 2025-02-17 Size : 41kb Publisher : 庞林娟

本工程为sift特征提取的GPU实现,其提取速度比单纯使用CPU计算快20倍,要注意的是显卡要是Nvidia 6以上的-This works for feature extraction sift realize the GPU, and its extraction faster than using the CPU alone is 20 times faster calculation, it is necessary to note that the graphics card if Nvidia 6 or above
Update : 2025-02-17 Size : 8.59mb Publisher : alenw

DL : 0
CPU+GPU技术在高清非编中的应用.pdf 新视角:高清采集与应用-CPU+ GPU technology in high-definition NLE application. Pdf: A new view high-definition acquisition and application of
Update : 2025-02-17 Size : 63kb Publisher : wyg

DL : 0
近年来,计算机图形处理器(GI.apllics Processing Unit,GPU)得到了极大地发展,从最初局限于图形渲染的图形卡,发展为如今可编程的并行计算平台。与CPU的串行计算模式不同,GPU是一种高度并行的流处理器,具有更强的浮点计算能力,在物理模拟、信号分析等许多领域人们将高强度的计算任务以适当的方式转化为流数据计算模式,通过编程在GPU中进行加速计算,通常能获得一个数量级的速度提高,这也是当今的热点研究问题之一。-In recent years, computer graphics processor (GI.apllics Processing Unit, GPU) has been greatly developed, from the initial limited to graphics rendering of the graphics card, development of a programmable parallel computing platform today. Serial computing model with the CPU difference, GPU is a highly parallel stream processors, with more floating-point computing power, in the physical simulation, signal analysis and many other areas that people will be high-strength computing tasks in an appropriate way into computing model for the flow of data through the program carried out in the GPU to accelerate the calculation, usually can get an order of magnitude faster, which is one of today' s hot research issues.
Update : 2025-02-17 Size : 10.71mb Publisher : liaozw

一个五脏俱全的 CPU+GPU软非编 工程,两路视频混合,实现了几个特技,能够输出AVI。起个抛砖引玉的作用,有意者请继续完善,然后将作品发表出来共享,实现共同进步。注意两路视频中,不要两路都是DVD文件,最好两路视频都是MP4,或是都未加压的AVI。-A fully-equipped one of the ' CPU+ GPU soft non-compiled' project, two-way video mixing to achieve a number of effects that can output AVI. Played a role in attracting valuable opinions, interested, please continue to improve, and then work on them to share and achieve common progress. Note that two-way video, two-way are not DVD files, the best two-way video is MP4, or none of pressurized AVI.
Update : 2025-02-17 Size : 41kb Publisher : cq

跟大家深入到CUDA的内部,为大家诠释为什么说:唯有NVIDIA CUDA才是终极的CPU-CUDA with you deep into the interior, as we interpret why: Only the CPU is the ultimate NVIDIA CUDA
Update : 2025-02-17 Size : 955kb Publisher : LR

本人给出了计算机处理粒子系统时如何将大量的CPU运算转移到GPU的一个方案。-in the context, i proposed a new method to transfer the compute burden from cpu to gpu.
Update : 2025-02-17 Size : 3kb Publisher : 何斌

DL : 0
基于GPU高性能并行计算的快速排序算法,比传统CPU速度快几十倍-BBsort Method with GPUs
Update : 2025-02-17 Size : 3.06mb Publisher : nono

D3D下实现的粒子系统,动态的缓存管理,CPU,GPU协调工作,提高了效率,有详细的注释-D3D achieve particle systems, dynamic cache management, CPU, GPU coordination, improve efficiency, detailed notes
Update : 2025-02-17 Size : 2.18mb Publisher : 张杰

python树莓派查看CPU、GPU温度 在Terminal中输入Python temp.py-python Raspberry Pi view CPU, GPU temperature input in Terminal in Python temp.py
Update : 2025-02-17 Size : 1kb Publisher : 马士林

并行计算和神经网络——基于CPU / GPU并行神经网络计算-Parallel computing and neural network- based on CPU/GPU parallel neural network computation
Update : 2025-02-17 Size : 67kb Publisher : 李阳

抓取CPU,GPU运行时间,希望对你有所帮助-Grab CPU, GPU running time, I hope for your help
Update : 2025-02-17 Size : 3kb Publisher : Xm Liu
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