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多GPU快速傅里叶变换
Sample: Simple CUFFT_MGPU
Minimum spec: SM 2.0
Example of using CUFFT. In this example, CUFFT is used to compute the 1D-convolution of some signal with some filter by transforming both into frequency domain, multiplying them together, and transforming the signal back to time domain on Multiple GPU.
Key concepts:
Image Processing
CUFFT Library
- 2022-02-05 04:59:51下载
- 积分：1
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Caffe最新源码
Caffe最新源码 ，里面大量使用模板，很好的深度学习库的使用，以及可以使用GPU进行加速运行训练数据，可以从中学习到CUDA的使用
- 2023-07-31 23:50:05下载
- 积分：1
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图像处理Boxfilter
CUDA Sample 图像处理Boxfilter cuda gpu优化结果与cpu结果对比
- 2022-01-25 23:04:12下载
- 积分：1
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CUDA CUFFT样本
Example of using CUFFT. In this example, CUFFT is used to compute the 1D-convolution of some signal with some filter by transforming both into frequency domain, multiplying them together, and transforming the signal back to time domain.
- 2022-06-16 11:20:17下载
- 积分：1
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cuda dct 变换
cuda dct 变换In this whitepaper the Discrete Cosine Transform (DCT) is discussed. The two-dimensional variation of the transform that operates on 8x8 blocks (DCT8x8) is widely used in image and video coding because it exhibits high signal decorrelation rates and can be easily implemented on the majority of contemporary computing architectures. The key feature of the DCT8x8 is that any pair of 8x8 blocks can be processed independently. This makes possible fully parallel implementation of DCT8x8 by definition. Most of CPU-based implementations of DCT8x8 are firmly adjusted for operating using fixed point arithmetic but still appear to be rather costly as soon as blocks are processed in the sequential order by the single ALU. Performing DCT8x8 computation on GPU using NVIDIA CUDA technology gives significant performance boost even compared to a modern CPU. The proposed approach is accompanied with the sample code “DCT8x8” in the NVIDIA CUDA SDK.
- 2022-07-22 04:21:09下载
- 积分：1
