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

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:       149,878,912 ✓
Reweighted 8 sequences with threshold 0.8 to Beff=8 weight mean=1, min=1, max=1

Will optimize 6142844 32-bit variables

iter	eval	f(x)    	║x║     	║g║     	step
1   	1   	1472.83 	1095.36 	320808.88	0.00134
2   	1   	1179.35 	1102.87 	124014.52	0.00133
3   	2   	1033.46 	1111.6  	59213.828	0.00151
4   	1   	915.55  	1128.65 	24505.492	0.00297
5   	3   	882.813 	1137.16 	11846.938	0.00244
6   	2   	867.49  	1141.98 	3964.4185	0.00246
7   	3   	863.217 	1143.32 	1738.1648	0.00201
8   	2   	861.031 	1144.08 	850.92078	0.00208
9   	2   	859.806 	1144.87 	540.20886	0.0021
10  	1   	858.599 	1146.64 	367.76648	0.00313
11  	2   	857.79  	1149.08 	299.18555	0.00292

Done with status code 0 - Success!

Final fx = 857.225891

xnorm = 3.9363
Output can be found in T0991.ccmpred