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

Found 1 CUDA devices, using device #0: Quadro P6000
Total GPU RAM:     25,637,224,448
Free GPU RAM:       6,413,680,640
Needed GPU RAM:       100,951,808 ✓
Reweighted 456 sequences with threshold 0.8 to Beff=24.4129 weight mean=0.0535371, min=0.00512821, max=1

Will optimize 3898556 32-bit variables

iter	eval	f(x)    	║x║     	║g║     	step
1   	1   	3742.52 	48254   	1065013.8	0.000691
2   	1   	3184.52 	48253.6 	428352.38	0.0008
3   	1   	2718.44 	48258.2 	162658.12	0.00173
4   	2   	2485.55 	48263.7 	95863.984	0.00273
5   	2   	2363.27 	48264.8 	54520.48	0.00256
6   	2   	2300.21 	48260.8 	28044.875	0.0022
7   	2   	2267.55 	48253.5 	15227.516	0.00205
8   	2   	2250.06 	48245.1 	8970.6797	0.00178
9   	1   	2235.3  	48230.5 	4423.2705	0.00271
10  	3   	2230.58 	48221.3 	2896.5164	0.00175
11  	1   	2226.16 	48208   	1448.7354	0.00221
12  	2   	2223.67 	48194.5 	951.58484	0.0024
13  	2   	2222.11 	48182.6 	746.45996	0.0019

Done with status code 0 - Success!

Final fx = 2220.410156

xnorm = 5.9972
Output can be found in 6CSV_D.ccmpred