_____ _____ _____ _ | | | |___ ___ ___ _| | | --| --| | | | . | _| -_| . | |_____|_____|_|_|_| _|_| |___|___| |_| 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: 2,195,082,532 ✓ Reweighted 15335 sequences with threshold 0.8 to Beff=5672.81 weight mean=0.369926, min=0.00215054, max=1 Will optimize 58438016 32-bit variables iter eval f(x) ║x║ ║g║ step 1 1 3.24957e+06 168738 3.870249e+10 4.15e-06 2 1 3.14172e+06 168739 2.9433246e+10 3.57e-06 3 1 3.03382e+06 168744 2.0089328e+10 3.44e-06 4 1 2.92787e+06 168756 1.3296344e+10 4.15e-06 5 1 2.82226e+06 168779 9.6695071e+09 5.63e-06 6 1 2.717e+06 168818 6.8629166e+09 7.23e-06 7 1 2.61308e+06 168882 5.0694349e+09 9.75e-06 8 1 2.5104e+06 168985 3.834123e+09 1.31e-05 9 1 2.40953e+06 169147 2.9845581e+09 1.75e-05 10 1 2.31229e+06 169395 3.147244e+09 2.34e-05 11 1 2.22788e+06 169774 7.7503181e+09 2.42e-05 12 1 2.14716e+06 170462 3.0480307e+09 1.33e-05 13 2 2.11096e+06 171003 6.1157816e+09 2.13e-05 14 1 2.07401e+06 171838 4.5984835e+09 1.39e-05 15 2 2.0541e+06 172337 2.7444477e+09 9.8e-06 16 1 2.03411e+06 172828 3.1558508e+09 1.53e-05 17 1 2.01204e+06 173332 3.0176174e+09 1.29e-05 18 1 1.9888e+06 173792 2.3664794e+09 1.18e-05 19 1 1.96628e+06 174209 2.3283415e+09 1.32e-05 20 1 1.94188e+06 174631 2.0159767e+09 1.33e-05 21 1 1.91813e+06 175012 2.0815666e+09 1.35e-05 22 1 1.89427e+06 175391 1.7380503e+09 1.27e-05 23 1 1.87052e+06 175770 1.9105167e+09 1.5e-05 24 1 1.84706e+06 176160 1.6320268e+09 1.35e-05 25 1 1.82452e+06 176569 1.552018e+09 1.61e-05 26 1 1.80311e+06 177026 2.031102e+09 1.82e-05 27 1 1.78314e+06 177576 1.9244934e+09 1.57e-05 28 2 1.77211e+06 177916 1.3989151e+09 9.73e-06 29 1 1.76188e+06 178235 1.4464113e+09 1.24e-05 30 1 1.75114e+06 178582 1.5265674e+09 1.28e-05 31 1 1.74013e+06 178925 1.5640824e+09 1.17e-05 32 1 1.72916e+06 179258 1.2831288e+09 1.08e-05 33 1 1.71903e+06 179591 1.3596186e+09 1.3e-05 34 1 1.70856e+06 179972 1.4876815e+09 1.37e-05 35 1 1.69888e+06 180363 1.2665742e+09 1.25e-05 36 2 1.69313e+06 180581 9.9079091e+08 8.09e-06 37 1 1.68734e+06 180758 8.2550835e+08 8.6e-06 38 1 1.68147e+06 180913 7.93288e+08 9.37e-06 39 1 1.67533e+06 181051 8.33712e+08 9.12e-06 40 1 1.6689e+06 181170 7.2758739e+08 7.81e-06 41 1 1.66256e+06 181268 5.7832115e+08 7.86e-06 42 1 1.65626e+06 181352 5.6241747e+08 9.32e-06 43 1 1.64984e+06 181426 5.6267251e+08 9.31e-06 44 1 1.6434e+06 181488 4.9873738e+08 8.84e-06 45 1 1.63704e+06 181541 4.5353398e+08 9.61e-06 46 1 1.63076e+06 181585 4.5913421e+08 1.05e-05 47 1 1.62449e+06 181621 4.3559274e+08 1.06e-05 48 1 1.61849e+06 181651 4.0257254e+08 1.13e-05 49 1 1.61261e+06 181675 4.5935443e+08 1.33e-05 50 1 1.6071e+06 181696 4.6575763e+08 1.28e-05 51 1 1.60227e+06 181718 5.3565946e+08 1.48e-05 52 2 1.59961e+06 181733 4.4268938e+08 8.71e-06 53 1 1.59731e+06 181743 4.2605107e+08 1.03e-05 54 2 1.59591e+06 181746 3.763321e+08 6.49e-06 Done with status code 0 - Success! Final fx = 1594461.750000 xnorm = 80.6917 Output can be found in T1005.ccmpred