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: http://osl.iu.edu/research/pbgl/software/
Any help/suggestions would be really appreciated.