diff --git a/docs/cugraph/source/basics/nx_transition.rst b/docs/cugraph/source/basics/nx_transition.rst index 3e3e942d0cb..345c5a3783f 100644 --- a/docs/cugraph/source/basics/nx_transition.rst +++ b/docs/cugraph/source/basics/nx_transition.rst @@ -12,8 +12,8 @@ Latest Update Last Update: March 7th, 2024 Release: 24.04 -**CuGraph is now a registered backend for networkX. This is described in the following blog: -`Accelerating NetworkX on NVIDIA GPUs for High Performance Graph Analytics +**CuGraph is now a registered backend for networkX. This is described in the following blog: +`Accelerating NetworkX on NVIDIA GPUs for High Performance Graph Analytics `_ @@ -180,4 +180,4 @@ Now, if your code bulk loads the data from Pandas, then RAPIDS can accelerate th .. image:: ../images/Nx_Cg_2.png :width: 600 -The above cuGraph code will create cuGraph.Graph object and not a NetworkX.Graph object. +The above cuGraph code will create cuGraph.Graph object and not a NetworkX.Graph object. \ No newline at end of file diff --git a/docs/cugraph/source/nx_cugraph/nx_cugraph.md b/docs/cugraph/source/nx_cugraph/nx_cugraph.md index 4db34d3eab2..1b39d5c481c 100644 --- a/docs/cugraph/source/nx_cugraph/nx_cugraph.md +++ b/docs/cugraph/source/nx_cugraph/nx_cugraph.md @@ -12,9 +12,7 @@ Lets look at some examples of algorithm speedups comparing CPU based NetworkX to Each chart has three measurements. * NX - running the algorithm natively with networkX on CPU. * nx-cugraph - running with GPU accelerated networkX achieved by simply calling the cugraph backend. This pays the overhead of building the GPU resident object for each algorithm called. This achieves significant improvement but stil isn't compleltely optimum. -* nx-cugraph (preconvert) - This is a bit more complicated since it involves building (precomputing) the GPU resident graph ahead and reusing it for each algorithm. - - +* nx-cugraph (preconvert) - This is a bit more complicated since it involves building (precomputing) the GPU resident graph ahead and reusing it for each algorithm. ![Ancestors](../images/ancestors.png)