搜索资源列表
Mars_v2
- GPU实现的MapReduce framework,对于学习并行编程和cuda平台的编程方面有着极好的参考价值，里面附带论文。用户要求有NViDIA显卡，并且安装cuda编程环境。-We design and implement Mars, a MapReduce framework, on graphics processors (GPUs). MapReduce is a distributed programming framework originally proposed by
fft2_cuda
- 在CUDA下的FFT变换程序，可以供爱好GPU编程的参考学习。-It it the FFT transform in CUDA, and very suitable for the programer who is interested in GPU.
CL_2D_FFT
- opencl实现二维傅里叶变换,GPU并行计算实现FFT-opencl 2D FFT
FFT
- GPU 实现FFT，包括读取txt文件至内存中实现，实现结果后，将结果以txt文件的格式保存。-After the GPU to realize FFT, including memory read txt file to achieve, achieve results, the results will be saved in txt file format.
fft_gpu_opencl
- 使用OPENCL编写的基于GPU异构计算平台的FFT程序，已通过测试。运行时须配置OPENCL环境。-OPENCL prepared using GPU-based heterogeneous computing platform FFT procedures, it has been tested. OPENCL be configured runtime environment.