_____ _____ _____ _ | | | |___ ___ ___ _| | | --| --| | | | . | _| -_| . | |_____|_____|_|_|_| _|_| |___|___| |_| 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: 1,995,145,402 ✓ Reweighted 6855 sequences with threshold 0.8 to Beff=5220.08 weight mean=0.761499, min=0.0227273, max=1 Will optimize 66740341 32-bit variables iter eval f(x) ║x║ ║g║ step 1 1 3.19436e+06 92432.3 1.7579303e+10 6.69e-06 2 1 3.12467e+06 92434.7 1.4311622e+10 5.29e-06 3 1 3.0567e+06 92439.5 1.0866338e+10 4.38e-06 4 1 2.98792e+06 92449.5 9.6850944e+09 4.67e-06 5 1 2.91929e+06 92465.9 6.9666432e+09 4.44e-06 6 1 2.85159e+06 92491.2 5.7197056e+09 5.48e-06 7 1 2.78364e+06 92528.3 4.3780132e+09 6.24e-06 8 1 2.71689e+06 92581.3 3.6618575e+09 7.7e-06 9 1 2.65015e+06 92658 2.8283914e+09 9.08e-06 10 1 2.58452e+06 92765.8 2.5969777e+09 1.16e-05 11 1 2.51909e+06 92914.6 2.1612621e+09 1.29e-05 12 1 2.45428e+06 93117.3 2.0399843e+09 1.58e-05 13 1 2.39e+06 93388.4 1.7658371e+09 1.73e-05 14 1 2.32605e+06 93745.7 1.6725212e+09 2.08e-05 15 1 2.26421e+06 94209.5 1.8563523e+09 2.29e-05 16 1 2.20532e+06 94827.5 2.1054438e+09 2.25e-05 17 1 2.15162e+06 95704.1 2.2038047e+09 2.31e-05 18 2 2.12212e+06 96352.9 1.2045399e+09 1.41e-05 19 1 2.09409e+06 97076 2.4473674e+09 2.61e-05 20 1 2.06655e+06 97945.8 1.4690766e+09 1.39e-05 21 1 2.04267e+06 98958 2.5401334e+09 2.46e-05 22 2 2.02797e+06 99671 1.7196573e+09 9.27e-06 23 1 2.01577e+06 100289 1.5336929e+09 1.14e-05 24 1 2.00282e+06 101063 2.1166017e+09 1.54e-05 25 1 1.9897e+06 101859 1.615115e+09 1.09e-05 26 2 1.98227e+06 102255 1.060743e+09 6.98e-06 27 1 1.97499e+06 102583 1.1027139e+09 8.91e-06 28 1 1.96689e+06 102885 1.2003889e+09 8.04e-06 29 1 1.95856e+06 103132 9.8559373e+08 6.12e-06 30 1 1.95024e+06 103337 8.7874138e+08 6.35e-06 31 1 1.94181e+06 103514 8.2714842e+08 6.39e-06 32 1 1.93329e+06 103667 8.0928128e+08 6.15e-06 33 1 1.92459e+06 103801 8.1501286e+08 5.73e-06 34 1 1.91584e+06 103917 6.9190899e+08 5.14e-06 35 1 1.9072e+06 104016 5.8365677e+08 5.52e-06 36 1 1.89852e+06 104104 6.4002054e+08 6.22e-06 37 1 1.88971e+06 104182 6.2538707e+08 5.4e-06 38 1 1.88096e+06 104250 5.0884499e+08 5.16e-06 39 1 1.87228e+06 104309 5.0745222e+08 6.07e-06 40 1 1.86351e+06 104361 5.16864e+08 5.95e-06 41 1 1.85479e+06 104407 4.4068576e+08 5.63e-06 42 1 1.84614e+06 104448 4.4068682e+08 6.46e-06 43 1 1.83746e+06 104484 4.4341658e+08 6.45e-06 44 1 1.82885e+06 104516 3.8347014e+08 6.34e-06 45 1 1.82033e+06 104545 4.0343437e+08 7.4e-06 46 1 1.81182e+06 104573 3.8032397e+08 7.21e-06 47 1 1.8035e+06 104600 3.586649e+08 7.84e-06 48 1 1.79529e+06 104628 3.9929334e+08 8.86e-06 49 1 1.78734e+06 104662 3.7562374e+08 8.61e-06 50 1 1.77989e+06 104705 4.3067904e+08 1.04e-05 51 1 1.77338e+06 104772 5.1906477e+08 1.13e-05 52 2 1.77032e+06 104836 4.8513261e+08 7.23e-06 53 3 1.76938e+06 104860 3.7920774e+08 2.73e-06 54 1 1.76849e+06 104882 2.7207702e+08 3.02e-06 Done with status code 0 - Success! Final fx = 1767648.750000 xnorm = 77.8837 Output can be found in 6DLO_A.ccmpred