请先安装好Anaconda，Python版本为3.6.1。

接着安装好numba包。

conda install numba

然后，我们需要下载CUDA Toolkit,下载地址：https://developer.nvidia.com/cuda-75-downloads-archive

我用的Mac，所以选择的Mac版本。下载完后，根据提示进行安装。（安装路径，Mac的话，应该在/Developer/NVIDIA/CUDA-7.5/路径下）

Test

新建文件 test.py，写入代码：

"""

Python CUDA编程

"""

from __future__ import print_function, division, absolute_import

from timeit import default_timer as timer
from matplotlib.pylab import imshow, jet, show, ion
import numpy as np

from numba import jit


@jit
def mandel(x, y, max_iters):
    """
    Given the real and imaginary parts of a complex number,
    determine if it is a candidate for membership in the Mandelbrot
    set given a fixed number of iterations.
    """
    i = 0
    c = complex(x,y)
    z = 0.0j
    for i in range(max_iters):
        z = z*z + c
        if (z.real*z.real + z.imag*z.imag) >= 4:
            return i

    return 255

@jit
def create_fractal(min_x, max_x, min_y, max_y, image, iters):
    height = image.shape[0]
    width = image.shape[1]

    pixel_size_x = (max_x - min_x) / width
    pixel_size_y = (max_y - min_y) / height
    for x in range(width):
        real = min_x + x * pixel_size_x
        for y in range(height):
            imag = min_y + y * pixel_size_y
            color = mandel(real, imag, iters)
            image[y, x] = color

    return image

image = np.zeros((500 * 2, 750 * 2), dtype=np.uint8)
s = timer()
create_fractal(-2.0, 1.0, -1.0, 1.0, image, 20)
e = timer()
print(e - s)
imshow(image)
#jet()
#ion()
show()

将输出图片，并将输出图片创建所需时间：0.36721072000364074。可以尝试注释掉@jit，纯粹使用Python生成图片的时间，大概有9-10倍的差距。