Profile time measurements to check differences in graphpass output

[greebie]

Will put the profiling data here in case it is useful for research purposes.

[greebie]

Full output in this gist.

file	nodes	filesize	Time Graphml	Time GEXF	CPU %	Maximum resident set size (kb)
cpp2.graphml	218	61k	0.3 s	0.3s	95% / 96%	1488 / 1532
snowden.graphml	849	117k	4.44	4.47	97% / 86%	3960 / 4008
albertahealth.graphml	8989	1.4M	258.76	235.35	97% / 98%	318344 / 318400
anarchist.graphml	4825	2M	234.42	224.51	98% / 99%	96336 / 96768
idlenomore.graphml	1617	2.8M	17.04	16.74	98%/99%	15152 / 15012
3835-gephi.graphml†l	13654	14.1 MB	2168.96	2219.58	99/96%	613916/614156
3365-gephi.graphml†	6135	2 MB	334.80	366.47	97%/98%	142552/143668
panama.graphml	39058	6.9 MB		23446.74	/83%	/ 3075844
6671-gephi.graphml	24197	10.5 MB	11670.89	10099.63	93%/31%	2196340/ 2197248
test5kErdos.graphml††	5000	152 MB	423.39		99%	581188
test5kGrowth.graphml††	5000	312 KB	179.80		99%	20892
panama.graphml††	39058	6.9 MB		18898.81	99%	4556312
test50k.graphml††	50000	3.2 MB		31621.91	99%	227188

† used my faster computer with more memory (16GB) instead of the older one (8GB).
†† used VM with ~31 GB ram.

[greebie]

So far, it looks like the scripts are running at ~ 4 (n)^2, which is about right since we are doing four algorithms that are approximately O(n)^2.

The memory set is proportional to the size of the file.

[greebie]

Resolved for now with PR #23.