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natir avatar natir commented on September 24, 2024 1

If you give me some sample dataset I can try to perform runtime analysis and try to improve running time by parallelized or not.

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danydoerr avatar danydoerr commented on September 24, 2024

There is potential for speedup by multithreading parts of GFAffix, especially if the bottle neck is the graph traversal. I'd be interested in knowing which step in the algorithm affects the running time on these deep graphs. The graph traversal can be parallelized, but it's not embarrassingly parallelizable, as the graph editing (which is intertwined in the graph traversal) can only be done safely in a single thread.

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danydoerr avatar danydoerr commented on September 24, 2024

@ekg do you have such a "deep graph" handy?

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natir avatar natir commented on September 24, 2024

Or just smaller but similar graph.

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ekg avatar ekg commented on September 24, 2024

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danydoerr avatar danydoerr commented on September 24, 2024

Do these deep graphs have a particular high node degree, or is the number of nodes exceptionally high?

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ekg avatar ekg commented on September 24, 2024

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danydoerr avatar danydoerr commented on September 24, 2024

GFAffix should scale linearly with path depth, overall this shouldn't dominate the runtime. But node degree is certainly a bottle neck.

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natir avatar natir commented on September 24, 2024

@ekg Could you give me advise how to build a similar graph, type of data, pipeline, tools, etc…

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ekg avatar ekg commented on September 24, 2024

@natir sorry to take a while here. I may need to share this somehow, but the graph is rather large and will take 4 days to build if you do so from scratch. I'll see if I can get a simpler test case together.

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danydoerr avatar danydoerr commented on September 24, 2024

@ekg Just so you know that your issue is not forgotten: I have a solution for parallelizing GFAffix and will work on this sometime soonish.

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