Add cuGraph examples

[ashvardanian]

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.

• cuGraph C++ docs
• PageRank C++ docs

This is also worth covering on the Python side with the available Python cuGraph bindings:

• PageRank example Jupyter notebook

[syedshazli]

I can get started on this, can you elaborate on what you'd like to see as well as where in the project structure this should be placed?

[ashvardanian]

The cuGraph invocations should go into less_slow.cu, while the benchmark logic should go after the CPU-side Graph-related benchmarks in less_slow.cpp.

[syedshazli]

Nice, I think you might have to assign the issue to me and I'll get started. I'll ask any questions in here along the way

[ashvardanian]

Done! Looking forward to your PR @syedshazli!

[syedshazli]

Hi Ash, thanks for assigning me the issue. I've worked with Google benchmark in the past, but I was trying to use cmake as described in the README. Was wondering if you had anything like this message pop up before? I think my current version of Cmake (3.22) won't allow me to run the commands which require Cmake 3.25. When I try to upgrade versions, I get this.

[ashvardanian]

@syedshazli , you can fetch a newer CMake from PyPi 🤗

[syedshazli]

Hi Ash, I'm currently a University student having finals and projects due this week and next week, so I won't be able to set aside much time until next Friday. If you want to assign this PR to someone else or work on it yourself, feel free,if not then I can get started next week. Sorry for the inconvenience

[ashvardanian]

No rush! Best of luck with exams! Submit a PR whenever ready, @syedshazli 🤗

[syedshazli]

Thank you!

[syedshazli]

Hey Ash, I really like the way the repo is right now, but to be honest I've never used CUDA which is why I'm learning CUDA C right now. Sicne it might take some time to get the basics of CUDA down, I'm not sure how much help I can be when referencing Cugraph. This repo seeks to get the most efficient C++/Cuda code out there, and I don't know if I can writie it given I don't have the basics of it down yet.

So far reading the Cuda_by_example pdf out there by Nvidia.