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A comment on Show HN: Graph Processing with Python and GraphBLAS. Parent comment

Re:Show HN: Graph Processing with Python and GraphBLAS by sandGorgon on Wednesday July 17, 2019 @08:57PM (#20465626)
This is very cool. I wonder if the Graphblas and the Dask team should collaborate.

Dask has a production grade distributed computing system (that is cloud compatible with kubernetes, yarn, EMR, Dataproc,etc).

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Re:Show HN: Graph Processing with Python and GraphBLAS by lmeyerov on Thursday July 18, 2019 @03:05AM (#20467468)
RAPIDS has picked up Dask for multi-gpu aspects of cudf (think spark/pandas on GPUs), and as cugraph is single GPU (https://github.com/rapidsai/cugraph) for going fast on ~billion row datasets... I'm guessing dask+cugraph will be happening for the next 100-1000X, if not already.

Graph partitioning is a weird world, so will be interesting to see!

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