Re: nvgraph, NVIDIA is one of Tim Davis's research sponsors and uses his code, as is (and does) Google. Among other things, he also wrote the open-source NVIDIA CULA sparse matrix library. See the list of libraries at the bottom of this page (scroll down) http://faculty.cse.tamu.edu/davis/research.html

Re: cuStinger, it's no longer...it's now Hornet, which uses CUB by NVIDIA Research https://github.com/hornet-gt/hornet

Re: gunrock, they have plans on adding GraphBLAS as part of their backend: https://github.com/gunrock/gunrock/issues?utf8=%E2%9C%93&q=i...

Re: GraphBLAS, see my comment from yesterday...

Log(Graph): A Near-Optimal High-Performance Graph Representation (2018)

https://news.ycombinator.com/item?id=18099520

For an overview of GraphBLAS in the context of Heterogeneous High-Performance Computing (HHPC) systems such as NVIDIA GPUs or Intel Xeon Phis, see the 2015 talk Scott McMillan (https://insights.sei.cmu.edu/author/scott-mcmillan/) gave at the CMU Software Engineering Institute:

Graph Algorithms on Future Architectures [video] https://www.youtube.com/watch?v=-sIdS4cz7-4

And a few years back, Jeremy Kepner did a mini-course on D4M (the precursor to GraphBLAS). The videos and material are on MIT OCW...

MIT D4M: Mathematics of Big Data and Machine Learning [video] https://www.youtube.com/watch?v=iCAZLl6nq4c&list=PLUl4u3cNGP...

Discussion: https://news.ycombinator.com/item?id=18105931