core-matrix

intended for specific discussion around core.matrix (usage and development) For general data work check out #data-science
2015-12-26T21:21:30.000070Z

@mikera: is there any way to get parallelization in core.matrix?

2015-12-26T21:23:45.000071Z

Yes but approach depends on use case

2015-12-26T21:25:12.000072Z

use case: you convinced me to finally try out my swarm simulations running on core.matrix

2015-12-26T21:25:13.000073Z

Parallelised implementations are certainly possible

2015-12-26T21:25:21.000074Z

none exist yet though?

2015-12-26T21:26:08.000075Z

you might be pleased that the vectorz-clj implementation beats clatrix (and this is without an underlying KD-tree implementation)

2015-12-26T21:26:52.000076Z

Not to my knowledge. My experience is that you are better off running independent threads rather than a more complex implementation that tries to use multiple threads

2015-12-26T21:26:53.000077Z

interestingly the vectorz-clj implementation without KD-trees is about as fast as the non-matrix-based version with KD-trees

2015-12-26T21:27:33.000078Z

Clatrix is not great for perfornance

2015-12-26T21:27:40.000079Z

so it seems

2015-12-26T21:28:08.000080Z

It could be, but needs a lot more work on the different operations

2015-12-26T21:29:15.000081Z

alright, i think i’ll try for a hybrid core.matrix+KDtree version next then

2015-12-26T21:29:53.000082Z

thank you!