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

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:       149,503,620 ✓
Reweighted 299 sequences with threshold 0.8 to Beff=235.317 weight mean=0.787012, min=0.166667, max=1

Will optimize 5936416 32-bit variables

iter	eval	f(x)    	║x║     	║g║     	step
1   	1   	57152.7 	11306.7 	19947708	0.00021
2   	1   	54855.1 	11310.7 	17313536	0.000123
3   	1   	52567.8 	11317.6 	14843704	9.84e-05
4   	1   	50291.8 	11327.8 	12574700	8.99e-05
5   	1   	48028.4 	11342.4 	10523983	8.91e-05
6   	1   	45779.5 	11362.5 	8697304 	9.38e-05
7   	1   	43548.3 	11389.7 	7093562 	0.000104
8   	1   	41338.9 	11426.5 	5703824 	0.00012
9   	1   	39158.3 	11476   	4509469 	0.000144
10  	1   	37018.2 	11543.5 	3485512.5	0.000182
11  	1   	34941.4 	11637.3 	2610762.2	0.000243
12  	1   	32976.6 	11772.8 	1882733.5	0.000351
13  	1   	31256.9 	11985.1 	1342080.2	0.000578
14  	2   	30453.4 	12177.8 	1109804.8	0.0006
15  	2   	30076.3 	12332.3 	972012.75	0.000528
16  	2   	29882.1 	12435.6 	871573.5	0.000399
17  	2   	29765   	12486.4 	800502.44	0.000234
18  	1   	29639.7 	12522   	723742.88	0.000204
19  	1   	29509.8 	12545.9 	646434.12	0.000184
20  	1   	29377.5 	12560.9 	570639.62	0.000174
21  	1   	29244.3 	12568.8 	497124.69	0.000171
22  	1   	29111.4 	12570.6 	426253.88	0.000177
23  	1   	28979.8 	12566.8 	358449.88	0.000191
24  	1   	28851.1 	12557.5 	294564.12	0.000219
25  	1   	28727.9 	12541.6 	236531.62	0.00027
26  	1   	28616.3 	12517   	189416.56	0.000367
27  	2   	28559.4 	12496.6 	168868.05	0.000293
28  	1   	28509.8 	12468.9 	154198.78	0.000369
29  	2   	28484.8 	12447.5 	148528.83	0.000275

Done with status code 0 - Success!

Final fx = 28470.083984

xnorm = 23.8297
Output can be found in T0968s2.ccmpred