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

Found 1 CUDA devices, using device #0: Tesla K40m
Total GPU RAM:     11,996,954,624
Free GPU RAM:      11,918,049,280
Needed GPU RAM:       288,084,338 ✓
Reweighted 105 sequences with threshold 0.8 to Beff=94.4167 weight mean=0.899206, min=0.25, max=1

Will optimize 11720189 32-bit variables

iter	eval	f(x)    	║x║     	║g║     	step
1   	1   	25244.1 	11939.7 	9349722 	0.000282
2   	1   	23612.1 	11946.4 	7175221.5	0.000206
3   	1   	21984.8 	11957   	5578125 	0.000194
4   	1   	20371.2 	11973   	4201581 	0.000204
5   	1   	18788.7 	11996.8 	2944409.5	0.000238
6   	1   	17266   	12033.2 	1911345.1	0.000318
7   	1   	15851.6 	12092.7 	1221140.5	0.0005
8   	1   	14685.4 	12200.3 	708329.88	0.000905
9   	3   	14362.6 	12255.4 	478354.81	0.00062
10  	2   	14188   	12286.6 	351559.75	0.000484
11  	1   	14022.2 	12315   	251897.23	0.000603
12  	1   	13881.6 	12342.1 	172254.56	0.000868
13  	3   	13837.6 	12348.8 	140862.53	0.000422
14  	1   	13793.1 	12351.7 	107146.77	0.000418
15  	1   	13750.2 	12351.5 	78619.359	0.000488
16  	1   	13712.3 	12348.5 	56183.492	0.000663
17  	2   	13692.9 	12344.9 	41841.465	0.000563
18  	2   	13682   	12342   	32482.639	0.000398

Done with status code 0 - Success!

Final fx = 13671.415039

xnorm = 13.4333
Output can be found in T0957s1.ccmpred