Move CuRAND notebook to the pycuda directory

Author: gjbex

source-code/README.md

@@ -6,10 +6,7 @@ Sample code for performing computations on a GPU.
 ## What is it?
 
 1. `pycuda`: directory illustrating pyCUDA.
-1. `curand.ipynb`: Jupyter notebook illustrating generating random
-   numbers on a GPU.
-1. `scikit_cuda`: code illustrating linear algebra on a GPU device.  This
-   is an older library and has been at least partially superceded by
-   CuPy.
+1. `scikit_cuda`: code illustrating linear algebra on a GPU device.  This is an
+   older library and has been at least partially superceded by CuPy.
 1. `numba`: code illustrating using numba for GPU computing.
 1. `cupy`: Jupyter notebook illustrating some aspects of the `cupy` package.

source-code/pycuda/README.md

@@ -10,3 +10,5 @@ GPU.  It is a Python wrapper for the CUDA API.
 1. `pycuda.ipynb`: Jupyter notebook with an introduction to PyCUDA, it
    illustrates data movement and the various types of kernels that can be
    created.
+1. `curand.ipynb`: Jupyter notebook with an introduction to the CURAND library,
+   which is a library for random number generation on the GPU.