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Subject: [boost] Parallel Boost Algorithm
From: anil khadka (anil_khadka_at_[hidden])
Date: 2010-04-30 11:49:03

I am pretty new to both boost and parallel boost.

I am using Brandes Centrality algorithm, but the performance really doesn't meet my expectation.

If I used Java, which is only using 1 CPU core would complete it in around 30 hrs.
The parallel version which use 8 CPU cores tooks 17 hours!!

I don't know why there is just around 13 hours gain if i use 8 cores against 1, unless there are lots and lots of communication between each cores.
I am using just 1 machine (not a cluster), right now.

Graph size is Node 80K, edges 120K

I am reading edges from files. I used distributed compressed_sparse_row to represent graph.
Right now, it seems like all the cpu cores are reading files on its own, I am assuming each CPU core will takes its graph part automatically (distributed algorithm do it ?).

Note: I downloaded the parallel version from:

Any help/suggestions would be really appreciated.



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