The GPU working example is complete.

This demo does the followings steps:

 * Read data arrays from a stream using the PacketLib

  * for each data array
   * allocate the GPU device memory
   * copy the array in the GPU memory
   * Process tha data array in one GPU kernel (simply: r[i] <- a[i] - a[i] + 1)
   * return the value
   * test the result

The GPU processing can be parallelized using the kernel index in the device function.

All Tests PASSED.

All Tests passed.
README updated