_____ _____ _____               _ 
|     |     |     |___ ___ ___ _| |
|   --|   --| | | | . |  _| -_| . |
|_____|_____|_|_|_|  _|_| |___|___|
                  |_|              

Found 1 CUDA devices, using device #0: Tesla K20Xm
Total GPU RAM:      5,977,800,704
Free GPU RAM:       5,902,827,520
Needed GPU RAM:        62,759,168 ✓
Reweighted 704 sequences with threshold 0.8 to Beff=145.838 weight mean=0.207157, min=0.0138889, max=1

Will optimize 2287584 32-bit variables

iter	eval	f(x)    	║x║     	║g║     	step
1   	1   	15728.5 	18777.8 	3718480.8	0.000389
2   	1   	14663.2 	18779.7 	2359887.5	0.000404
3   	1   	13582.8 	18787.3 	1895763.2	0.000513
4   	1   	12488   	18803.8 	1319534.1	0.000553
5   	1   	11443.1 	18834.2 	758902.88	0.000713
6   	1   	10474.4 	18891.8 	515740.62	0.00124
7   	1   	9664.04 	19006.3 	312935.25	0.00206
8   	3   	9420.34 	19062.3 	201397.25	0.00124
9   	1   	9206.36 	19118.7 	139350.81	0.00173
10  	2   	9086.42 	19150.4 	103522.77	0.00144
11  	1   	8977.48 	19174.6 	76609.992	0.00175
12  	2   	8916.44 	19183   	54148.02	0.0013
13  	1   	8862.94 	19183.6 	38887.582	0.00165
14  	2   	8833.45 	19178.5 	29070.059	0.00134
15  	1   	8808.21 	19167.6 	22433.328	0.00167
16  	2   	8794.52 	19156.6 	16185.922	0.00134
17  	2   	8786.57 	19148.8 	11868.447	0.000897

Done with status code 0 - Success!

Final fx = 8778.501953

xnorm = 15.008
Output can be found in T0953s1.ccmpred