text: import numpy as np
  import pycuda.autoinit
  from pycuda import gpuarray
  from time import time
  
  
  host_data = np.float32( np.random.random(50000000) )
  
  t1 = time()
  host_data_2x =  host_data * np.float32(2)
  t2 = time()
  
  print('total time to compute on CPU: %f' % (t2 - t1))
  
  
  device_data = gpuarray.to_gpu(host_data)
  
  t1 = time()
  device_data_2x =  device_data * np.float32( 2 )
  t2 = time()
  
  from_device = device_data_2x.get()
  
  
  print('total time to compute on GPU: %f' % (t2 - t1))
  print('Is the host computation the same as the GPU computation? : {}'.format(np.allclose(from_device, host_data_2x) ))
  