less_slow.cpp
                                
                                
                                
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                        Add cuGraph examples
We currently have a pretty extensive list of graph storage and processing approaches on the CPU, but lack GPU analogs. This can be a great opportunity to showcase both the more advanced and rarely used parts of the Nvidia libraries, as well as explore atomic variables and concurrent data-structure implementations on massively parallel chip architectures.
This is also worth covering on the Python side with the available Python cuGraph bindings: