CUDA-Python
所属分类:GPU/显卡
开发工具:Python
文件大小:76KB
下载次数:0
上传日期:2017-05-31 08:17:13
上 传 者:
sh-1993
说明: 使用CUDA和Python进行GPU编程
(GPU programming using CUDA & Python)
文件列表:
BlackScholes (0, 2017-05-31)
BlackScholes\blackscholes.py (2035, 2017-05-31)
BlackScholes\blackscholes_cuda.py (3913, 2017-05-31)
BlackScholes\blackscholes_numba.py (2674, 2017-05-31)
CU_Events (0, 2017-05-31)
CU_Events\kernel_timing.py (1544, 2017-05-31)
Convolution (0, 2017-05-31)
Convolution\fftconvolve.py (3889, 2017-05-31)
Convolution\fftsimple.py (3012, 2017-05-31)
Convolution\me.jpg (54731, 2017-05-31)
Cublas (0, 2017-05-31)
Cublas\gemm.py (2251, 2017-05-31)
GU_Vectorize (0, 2017-05-31)
GU_Vectorize\sumrows.py (1806, 2017-05-31)
Laplace_2D (0, 2017-05-31)
Laplace_2D\laplace2d-numba-gpu-improve.py (2734, 2017-05-31)
Laplace_2D\laplace2d-numba-gpu-smem.py (2512, 2017-05-31)
Laplace_2D\laplace2d-numba-gpu.py (1968, 2017-05-31)
Laplace_2D\laplace2d-numba.py (1212, 2017-05-31)
Laplace_2D\laplace2d.py (1186, 2017-05-31)
Mandel (0, 2017-05-31)
Mandel\Mandelbrot_CPU.py (930, 2017-05-31)
Mandel\Mandelbrot_GPU.py (974, 2017-05-31)
Mandel\mandel_autojit.py (1267, 2017-05-31)
Mandel\mandel_vectorize.py (1409, 2017-05-31)
Multi_GPU (0, 2017-05-31)
Multi_GPU\multigpu_mt.py (2060, 2017-05-31)
# Mandelbrot
- `mandel_autojit.py`: implementation using `numba.jit` with callsite inference
- `mandel_vectorize.py`: implementation using Numba GPU vectorize.
## Running the examples
All scripts are runnable.
```bash
python mandel_autojit.py
python mandel_vectorize.py
```
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