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R11_sans_buggy_cores.log
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R11_sans_buggy_cores.log
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MATLAB is selecting SOFTWARE OPENGL rendering.
OMP: Warning #181: OMP_STACKSIZE: ignored because KMP_STACKSIZE has been defined
< M A T L A B (R) >
Copyright 1984-2022 The MathWorks, Inc.
R2022a (9.12.0.1884302) 64-bit (glnxa64)
February 16, 2022
To get started, type doc.
For product information, visit www.mathworks.com.
Starting parallel pool (parpool) using the 'local' profile ...
Connected to the parallel pool (number of workers: 36).
Number of workers: 36
-------------------------------------------------------------------------------------------
## BIGMACS: Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals
-------------------------------------------------------------------------------------------
## Stack construction algorithm is now running...
# Initializing...
Data are loaded successfully.
Initializing the age samples...
Done.
# Stacking algorithm is now running...
# Iteration 1:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [79.1861 66.55215 14.35995 23.60026 111.9104 9.786274 61.85331 70.81122 89.25029 65.38242 11.73185 10.41463 17.79892 26.83453 13.9292 16.04068 19.63722 6.878607 33.71742 71.96288 31.47236 30.04407 44.45517 13.54243 2.595126 110.6234 66.94779 5.904735 16.38194 11.44381 4.076265 14.34358 27.35347 53.00702 49.37341 73.14484 20.58517 5.667654 175.5972 6.193582 2.738934 52.33874 9.389977 24.81041 4.547595 22.92722 20.7448 18.444 20.40144 32.08476 9.181174 4.506931 12.81428 0.9504811 6.047341 19.9796 2.224425 0.4778564 0.6442648 1.642782 43.73946 29.99384 4.208707 8.401554 3.785358 7.416448 6.959958 5.222482 10.42892 16.10909 10.57271 6.410524 1.178208 5.013891 11.43728 1.66294 84.14033 21.0674 7.929877 8.784603 8.593573 6.273293 38.42183 1.790604 35.49505 555.431 11.26152 27.87164 34.75587 -0.1402357 8.528709 22.84671 24.47805 88.53112 59.83744 3.331795 151.8833 39.01993 25.3087 92.49713 37.31623 40.71016 13.60104 64.54525 9.137534 4.06599 27.13616 17.31499 4.636843 22.11524 19.00246 40.90853 20.89206 57.91073 16.07075 33.45263 66.42185 117.5064 11.974 15.95864 27.43161 11.34998 47.64106 55.01335 36.39774 39.19747 9.227377 10.46619 18.73137 2.607456 2.793965 85.34528 37.38862 148.2773 5.329743 23.07424 9.343356 3.306983 21.38565 55.59508 23.31507 22.95196 36.7339 183.1092 54.88491 136.7062 20.18692 11.1814 45.39473 24.06646 4.48171 4.879314 26.83471].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [4.68018 1.5626 0.657813 1.02102 10.0133 1.68434 1.45369 3.52098 22.6215 0.95528 0.215353 0.443219 1.05034 0.493886 -0.161208 0.956586 0.871356 -0.377696 0.905695 5.65581 1.69746 0.567182 1.20549 0.504612 0.317098 3.8179 2.56505 0.319823 0.521851 0.151993 -0.225193 0.77609 1.02854 11.5457 4.37189 8.30504 1.82297 2.80793 8.55893 0.00371415 -0.0274158 11.009 0.322363 3.54827 0.258628 -0.461361 0.612046 1.04641 0.287421 1.36458 0.699833 0.357157 0.946263 -0.0088779 0.26887 1.39959 0.328113 -0.439777 -0.144285 0.438189 10.426 3.6295 1.04817 0.62253 0.222011 0.369274 0.52772 0.776424 0.343123 1.24303 0.259968 -0.0988924 -0.132072 -0.027852 1.7271 0.000754075 3.24719 -0.258672 1.55655 0.0791549 0.357076 0.141446 0.558304 0.0860292 1.46773 2.10798 0.62213 4.20394 3.22948 0.129488 0.674139 -0.409015 0.261294 0.0979989 4.26728 0.190185 7.48739 4.14556 2.31064 4.36767 1.89532 1.696 -0.347838 0.272108 0.318092 0.0017466 1.60995 0.544242 -0.116291 1.20517 0.864119 1.37759 0.494109 3.33809 0.164902 0.0457304 1.45352 2.8505 3.26493 0.20178 1.3786 0.178012 1.71921 2.89961 2.24124 1.49673 0.10226 0.21399 0.724902 0.0129735 -0.613875 14.2676 -0.461773 6.90188 0.404738 -0.234861 -0.103631 0.174933 0.282261 1.14391 0.377922 1.14381 3.10372 20.9567 0.323755 3.64485 -0.566583 0.629026 4.06269 1.7441 0.237381 0.502431 2.99023].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.011519 1.573 -0.04014 -0.10658 2.0379 0.53612 -0.59247 0.71244 2.5191 -0.69149 -0.044373 -0.0024913 0.21515 0.1284 0.021188 -0.030088 0.097263 0.015573 0.08827 0.044526 -0.33949 -0.11658 0.70631 -0.41148 0.40451 -0.4751 0.48052 -0.18164 -0.00032467 0.099528 -0.072917 0.04332 0.20681 3.351 0.69098 0.23032 -1.0948 0.49166 1.3482 -0.0023052 -0.038851 1.1977 0.0016343 0.42274 -0.13123 -0.66619 -0.12497 -0.31068 0.099467 -0.05714 -0.048099 -0.050999 -0.09863 -0.053293 0.14258 0.43691 -0.061624 -0.07435 -0.062612 0.14905 1.5544 1.3272 0.26676 -0.23965 -0.0088816 0.1147 -0.093971 -0.17646 0.055001 0.10621 0.11146 0.043999 0.32154 0.64341 0.20242 -0.26008 -0.044091 0.88877 0.32175 -0.18867 0.16497 -0.066827 0.36075 0.019667 -0.27829 2.3518 -0.021914 0.2633 -0.33309 -0.37866 0.24412 0.26966 2.1927 0.29265 2.5634 0.69545 0.37597 1.1787 -0.022069 0.14648 0.25166 -0.082963 0.070504 -0.057349 -0.85149 0.18059 -0.4117 -0.089415 0.095571 -0.28927 -0.10683 -0.012659 -0.19964 -0.44073 0.12866 1.8703 -0.14263 0.034167 0.084185 -0.054551 0.76149 -0.1409 0.034868 -0.32622 -0.21771 -0.20804 -0.63334 -0.02173 -0.0045711 0.28884 0.0052502 3.6981 0.51797 0.15498 0.16365 -0.03482 0.00828 -0.023494 0.54622 0.046234 0.3861 -0.12779 0.52466 2.1529 0.32496 0.1725 0.013586 0.080433 0.076565 0.092588 0.1431 0.0094326 -0.23644].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.21433 -0.14305 -0.092149 0.023743 -0.047539 -0.074874 -2.2263 0.28639 1.2624 -0.32604 -0.019664 -0.022763 -0.053454 -0.0005692 0.69835 -0.0077066 -0.090605 -0.38363 0.016237 0.0094536 0.030555 -0.29678 0.12037 -0.12471 -0.93846 -0.12045 0.096155 0.62767 0.037638 -0.008215 0.026219 0.53643 -0.43269 0.11765 -0.17329 0.75675 0.31409 -0.0933 -1.9192 0.0001127 0.11575 0.30388 0.029363 -0.068837 0.065741 -0.085306 -0.68544 0.1661 -0.0011519 -0.03376 0.19445 0.016226 -0.055069 -0.036293 0.066747 0.0054228 -0.15078 0.29827 0.055755 0.12417 0.51795 -0.53213 -0.065747 0.27603 0.42724 -0.073353 0.0050064 -0.13255 0.14523 -0.045735 0.23228 0.14884 -0.01633 0.20377 -0.042545 0.20142 -0.042097 -0.10722 0.1394 0.097858 -0.0066007 -0.19459 0.088584 -0.017178 0.67651 4.0601 0.64548 0.30034 0.76059 0.11043 0.047114 -0.13681 0.11372 -0.047105 0.42025 -0.04807 1.692 -0.18006 0.10845 -0.042578 -0.090182 0.065368 -0.33505 -0.11553 0.10775 -0.0031798 0.13982 -0.18476 0.0030509 -0.085183 -0.028328 0.020405 0.36943 0.14074 0.020104 0.0005352 -0.097597 0.007674 0.079238 0.055761 -0.10265 0.044784 -0.064507 -0.073429 -0.13233 -0.0014172 0.15516 0.068738 -0.0085892 -0.45857 0.40448 0.36765 0.039548 0.59615 -0.01426 0.04517 -0.11347 -0.030058 -0.011035 0.0021758 0.0009224 -0.22581 -0.3551 0.010391 0.39556 -0.21688 0.066508 -0.080625 1.0801 -0.0011946 -0.14382 0.024675 0.35843].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.035878 -0.11837 0.38201 0.41279 -0.020245 -0.23292 -0.19032 -0.089038 0.13688 0.30643 0.018942 -0.031222 0.068162 -0.014882 0.053556 -0.26545 0.24973 -0.047341 -0.09361 -0.04297 -0.068302 0.28684 -0.0043743 0.14177 0.24856 -0.12895 -0.17057 -0.1161 -0.031952 -0.10417 -0.024692 -0.26981 0.15383 -0.047698 0.18451 -0.22758 -0.032646 -0.014826 -0.030195 -0.01141 0.10354 -0.080106 -0.2391 0.034798 0.021163 -0.23611 -0.087901 0.012763 -0.0046412 -0.081907 0.12542 -0.11661 0.11329 0.039073 -0.0016599 -0.023144 0.5771 -0.32866 -0.13176 0.10748 0.93144 -0.26442 0.032999 -0.19897 0.54056 -0.0079675 -0.041929 0.1928 0.0023637 0.27448 -0.37629 -0.018329 -0.2976 -0.088487 0.14807 0.01518 0.034793 0.041908 -0.068239 -0.027307 0.022683 0.13163 -0.52836 0.029274 -0.41788 1.6661 0.57558 -0.47907 -0.046036 0.022513 -0.010071 0.26341 -0.06826 -0.073241 0.0064724 -0.053221 1.1371 0.64612 -0.16978 0.046053 -0.063873 0.023306 0.056365 0.052797 -0.19831 0.011204 -0.016987 0.18855 -0.0063061 0.0032228 -0.063665 -0.59282 -0.42931 0.52831 0.023895 -0.14311 -0.18113 -0.26566 -0.028654 0.078473 0.16445 -0.051156 -0.14391 -0.027778 0.20682 -0.036032 0.25316 -0.067253 -0.00076007 0.44947 -0.13218 0.27914 -0.0016069 0.22485 -0.29987 -0.058554 -0.034726 0.039001 0.096659 0.18315 -0.024363 0.21588 0.40253 -0.04597 -0.074571 -0.026676 -0.00041141 -0.11917 0.006859 -0.11186 0.17258 -0.016852 -0.022814].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.051035 0.2319 -0.0097062 -0.20421 0.023062 0.24782 -0.87174 0.102 -0.07875 -0.065465 -0.0055821 0.074951 0.004183 0.0042148 -0.18366 0.30546 -0.107 0.22122 0.082542 0.014684 -0.23123 -0.08354 -0.0028511 -0.027875 -0.085581 0.22967 0.1671 0.071286 0.037723 0.14291 0.0049093 0.19249 -0.39134 0.041077 -0.43603 0.24772 -0.0090299 0.076195 -0.001985 0.011917 -0.010456 0.032177 0.2297 -0.27741 0.0085487 0.30092 0.041271 0.020033 -0.0015044 -0.083988 -0.16178 -0.34585 0.0016376 -0.044848 -0.024195 0.12565 0.35686 -0.02933 0.1064 -0.78788 0.15643 0.38615 0.024887 0.24424 0.48046 0.033534 0.026632 -0.44023 -0.017454 -0.11865 0.38965 -0.098522 0.34162 0.017667 -0.23429 0.038017 0.030471 0.069925 0.12044 -0.085466 0.03195 0.043649 0.11502 0.075367 0.35128 0.37352 -0.058931 0.37383 0.10334 -0.046045 -0.30253 0.040807 -0.27623 0.22754 -0.14071 0.065984 0.1023 0.098042 0.32401 -0.075627 0.1087 0.0022359 0.40632 0.023786 0.21168 0.021181 -0.0055055 -0.068914 -0.005162 0.007012 0.098028 0.059503 0.11372 0.68419 -0.022464 -0.082061 -0.50665 0.2571 -0.093876 0.035439 -0.1447 -0.14447 0.25065 -0.097926 -0.41357 0.028019 -0.082207 0.011922 0.0046344 0.29122 -0.039976 0.0039988 -0.0061822 -0.082845 0.14441 -0.0047724 0.15921 0.028603 -0.22354 0.0066231 0.029001 -0.17345 -0.0016029 0.12953 -0.1617 0.14031 -0.023743 0.16983 0.023444 0.045419 -0.10065 0.015528 0.33768].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.095778 -0.098233 0.031128 -0.41261 -0.10275 -0.030775 0.061721 -0.0052265 0.18728 -0.0064081 -0.029088 -0.011113 -0.024085 -0.15711 0.11701 -0.23742 -0.055151 -0.16197 -0.041629 0.083224 0.31458 -0.18148 -0.0030563 -0.05581 -0.32334 -0.0093861 -0.029931 0.1304 -0.016309 -0.0024913 0.016238 -0.06141 -0.12792 0.015137 0.37085 -0.2596 0.039919 -0.040627 -0.0010848 -0.0065701 -0.00040971 0.048711 -0.13386 0.24172 -0.012359 -0.30827 0.054264 -0.1324 0.0021936 0.15642 -0.0024656 0.44789 -0.12252 0.0092071 0.0039319 -0.26115 -0.0033536 0.044807 0.024258 0.20833 0.20132 -0.10741 -0.048976 -0.087551 0.18802 -0.092552 -0.039555 0.073685 -0.014776 -0.081017 -0.013985 0.36708 0.07475 -0.21076 -0.27837 -0.1647 -0.079619 0.00095534 -0.01345 -0.0015322 0.10231 0.00030278 0.030441 -0.31374 -0.12243 -0.17887 0.1387 0.1118 -0.015269 -0.02396 0.31141 -0.075114 0.17713 -0.15568 0.12733 -0.3025 0.13652 -0.021705 -0.22495 0.11473 0.039003 -0.015748 -0.14058 -0.1388 -0.12466 -0.068818 -0.10904 -0.0095956 0.010583 -0.077542 -0.21297 0.068285 0.014444 0.34752 0.022731 0.093343 -0.023164 -0.1102 -0.049877 -0.2563 0.13921 0.17421 -0.051817 0.16624 0.39851 -0.016838 -0.053402 0.015402 -0.033898 0.047425 0.088102 -0.015026 -0.019788 0.06092 0.021704 -0.2132 -0.017943 -0.041487 -0.087931 -0.61229 -0.0060897 0.15008 -0.11975 -0.068085 0.45838 0.29366 0.04663 0.00013735 -0.14596 0.068911 0.056974 -0.046181 -0.40273].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.071547 0.11305 -0.12985 0.11479 0.10462 -0.12812 0.28817 0.0029181 -0.10596 0.084067 0.041173 0.040718 -0.40758 0.14263 -0.33613 0.23584 0.041503 0.35473 0.18858 -0.017444 0.0018 -0.18595 -0.059585 0.085967 0.38884 -0.070105 0.012047 -0.035602 0.010852 -0.11786 -0.042951 0.064496 0.68992 -0.037105 -0.045694 0.35353 -0.73627 -0.065764 -0.073236 0.0064538 0.0097753 -0.010053 0.015983 -0.015996 0.0056013 0.19422 -0.16105 0.098966 -0.40813 -0.24947 0.17128 0.029888 0.10409 -0.053708 -0.018146 0.066099 -0.75049 -0.16592 -0.011169 -0.044597 -0.02595 0.01484 0.066015 -0.27232 -0.29107 0.010948 0.053369 -0.21086 -0.16679 -0.21736 -0.12637 -0.40092 -0.32047 0.27299 0.090867 0.1457 -0.24626 -0.053308 -0.042268 -0.017113 -0.20279 -0.013764 0.11422 0.33753 -0.42705 0.18783 0.0045755 -0.086433 -0.10689 0.040779 -0.025219 -0.40282 0.0061341 0.057918 -0.035963 -0.10102 0.037831 -0.0054719 0.089045 -0.032073 -0.0086266 -0.11482 -0.27731 -0.087773 0.075484 0.074373 0.10053 0.10114 -0.031374 0.046523 0.14532 -0.35427 0.11571 -0.021523 0.00032852 0.12941 -0.52929 0.14236 0.16003 0.30335 -0.024929 -0.051404 0.048344 0.03131 -0.11313 0.031591 0.097852 -0.22844 0.010158 -0.087352 -0.37478 0.015266 -0.0061076 0.012631 -0.025459 0.27143 0.0048581 0.069293 0.28213 0.17435 -0.40473 -0.1755 0.036213 0.098152 -0.042556 0.13548 -0.016635 -0.060511 0.13878 -0.015516 -0.047002 0.028592 -0.25609].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.12144 -0.016777 -0.24693 -0.13717 -0.18551 0.14884 -0.23076 0.0091192 0.084596 -0.004404 -0.020037 -0.024703 0.29642 -0.045152 0.35383 -0.0944 -0.014122 -0.059212 -0.061418 0.057412 -0.0073258 0.18468 0.054986 0.0077324 0.0049883 0.033526 0.025991 0.031904 0.0044266 0.15351 0.046225 -0.15108 -0.47122 0.035229 0.062375 -0.04958 0.98502 0.012938 0.019428 -0.0031379 -0.024078 -0.069698 0.010826 -0.031956 -0.013035 0.092439 0.15149 -8.503e-05 0.23895 0.16494 -0.15471 -0.13671 -0.058304 0.061508 0.022298 0.009471 -0.38052 0.28512 -0.10554 0.065086 -0.22699 0.096404 0.0019899 0.073375 0.49469 0.13383 0.0046565 0.39566 0.19115 0.52255 0.024655 -0.079909 -0.033049 0.019597 -0.012022 -0.40125 0.24908 0.0076847 0.0087573 -0.044988 0.097763 0.010495 -0.038883 0.00067717 0.58898 -0.046743 0.0018591 0.021487 0.11682 -0.21117 -0.10939 0.55646 0.13876 0.070497 0.045258 0.44922 -0.084683 0.023863 0.014796 -0.0922 0.011892 0.11519 0.44144 0.2645 -0.24885 -0.037069 0.013814 0.019899 0.031641 -0.17722 -0.089727 0.29956 -0.19012 -0.040627 -0.0064862 -0.07654 -0.073269 0.0039147 0.070206 -0.099584 -0.038257 0.068528 -0.058084 -0.016331 0.12593 -0.0048487 0.0025581 0.29456 0.010548 -0.14508 0.076396 0.0037147 0.02419 0.0033952 0.22138 -0.084667 -0.21864 -0.042174 0.019662 -0.098694 0.41222 0.20467 0.013885 -0.15437 0.025639 -0.45019 -0.014896 0.088375 0.012322 -0.023455 0.085843 -0.029814 0.34269].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.31314 -0.82637 0.18488 0.66917 0.18348 -0.016082 0.3432 -0.051113 0.021291 -0.005541 -0.24092 0.026803 0.13799 0.063111 -0.15174 0.089609 0.083783 -0.26565 -0.057001 -0.029445 -0.028187 0.20719 -0.19185 -0.17044 0.031084 -0.40856 -0.031096 0.0052291 0.018536 -0.12258 -0.014025 0.14427 0.58346 -0.14485 -0.10087 -0.17727 0.61488 0.07459 0.035553 0.0033861 0.04509 0.070191 0.079369 -0.20431 0.008052 -0.22861 -0.073283 0.034117 0.16569 -0.19731 0.17452 0.10074 0.078446 0.025155 -0.010811 0.055519 0.38158 -0.14859 0.10789 -0.13867 -0.17908 -0.02271 -0.014303 0.15566 -0.5207 0.0080298 0.00093558 0.062122 0.00013291 0.13173 -0.17919 -0.094546 0.30814 -0.0064037 0.26561 0.25603 -0.28434 -0.09293 0.044654 0.14356 -0.056221 -0.0031767 -0.060096 -0.27313 -0.24746 0.033025 -0.00072632 -0.036135 0.061573 0.24418 0.12176 0.21182 -0.24542 -0.0077947 0.0004017 -0.023285 -0.03964 0.024549 -0.11918 0.1011 -0.017023 -0.0092628 -0.75873 -0.17971 0.22579 0.023678 0.011403 -0.021522 -0.00081842 0.034671 0.048282 0.019231 0.22267 -0.035416 0.006442 -0.1015 -0.23595 -0.22215 -0.054772 -0.069327 0.072505 -0.077051 0.060993 0.018369 -0.1519 -0.016153 -0.21918 -0.12072 0.0058283 0.20261 0.22196 0.0015968 -0.057634 -0.017224 -0.18357 -0.087414 0.21149 -0.243 -0.070117 0.31775 -0.012053 -0.014326 0.047199 0.17194 0.021279 0.12054 0.0091431 -0.14578 -0.18697 0.04471 0.049903 -0.044112 0.38775].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
[Warning: A worker aborted during execution of the parfor loop. The parfor loop
will now run again on the remaining workers.]
[> In distcomp/remoteparfor/handleIntervalErrorResult (line 245)
In distcomp/remoteparfor/getCompleteIntervals (line 395)
In parallel_function>distributed_execution (line 746)
In parallel_function (line 578)
In learnParam_Var (line 15)
In updateStack (line 78)
In Stacking (line 22)
In BIGMACS (line 28)
In main (line 8)
In run (line 91)]
[Warning: A worker aborted during execution of the parfor loop. The parfor loop
will now run again on the remaining workers.]
[> In distcomp/remoteparfor/handleIntervalErrorResult (line 245)
In distcomp/remoteparfor/getCompleteIntervals (line 395)
In parallel_function>distributed_execution (line 746)
In parallel_function (line 578)
In learnParam_Var (line 15)
In updateStack (line 78)
In Stacking (line 22)
In BIGMACS (line 28)
In main (line 8)
In run (line 91)]
[Warning: A worker aborted during execution of the parfor loop. The parfor loop
will now run again on the remaining workers.]
[> In distcomp/remoteparfor/handleIntervalErrorResult (line 245)
In distcomp/remoteparfor/getCompleteIntervals (line 395)
In parallel_function>distributed_execution (line 746)
In parallel_function (line 578)
In learnParam_Var (line 15)
In updateStack (line 78)
In Stacking (line 22)
In BIGMACS (line 28)
In main (line 8)
In run (line 91)]
[Warning: A worker aborted during execution of the parfor loop. The parfor loop
will now run again on the remaining workers.]
[> In distcomp/remoteparfor/handleIntervalErrorResult (line 245)
In distcomp/remoteparfor/getCompleteIntervals (line 395)
In parallel_function>distributed_execution (line 746)
In parallel_function (line 578)
In learnParam_Var (line 15)
In updateStack (line 78)
In Stacking (line 22)
In BIGMACS (line 28)
In main (line 8)
In run (line 91)]
[Warning: A worker aborted during execution of the parfor loop. The parfor loop
will now run again on the remaining workers.]
[> In distcomp/remoteparfor/handleIntervalErrorResult (line 245)
In distcomp/remoteparfor/getCompleteIntervals (line 395)
In parallel_function>distributed_execution (line 746)
In parallel_function (line 578)
In learnParam_Var (line 15)
In updateStack (line 78)
In Stacking (line 22)
In BIGMACS (line 28)
In main (line 8)
In run (line 91)]
[Warning: A worker aborted during execution of the parfor loop. The parfor loop
will now run again on the remaining workers.]
[> In distcomp/remoteparfor/handleIntervalErrorResult (line 245)
In distcomp/remoteparfor/getCompleteIntervals (line 395)
In parallel_function>distributed_execution (line 746)
In parallel_function (line 578)
In learnParam_Var (line 15)
In updateStack (line 78)
In Stacking (line 22)
In BIGMACS (line 28)
In main (line 8)
In run (line 91)]
=>> PBS: job killed: walltime 86438 exceeded limit 86400
Cgroup mem limit exceeded:
MATLAB is selecting SOFTWARE OPENGL rendering.
OMP: Warning #181: OMP_STACKSIZE: ignored because KMP_STACKSIZE has been defined
< M A T L A B (R) >
Copyright 1984-2022 The MathWorks, Inc.
R2022a (9.12.0.1884302) 64-bit (glnxa64)
February 16, 2022
To get started, type doc.
For product information, visit www.mathworks.com.
Starting parallel pool (parpool) using the 'local' profile ...
Connected to the parallel pool (number of workers: 36).
Number of workers: 36
-------------------------------------------------------------------------------------------
## BIGMACS: Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals
-------------------------------------------------------------------------------------------
## Stack construction algorithm is now running...
# Initializing...
Data are loaded successfully.
Initializing the age samples...
Done.
# Stacking algorithm is now running...
# Iteration 1:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [79.1861 66.55215 7.953975 26.43025 108.1249 15.618 61.85331 70.81122 89.25029 59.1623 13.16322 9.138968 14.50909 26.26117 13.9292 14.64401 19.44271 6.980874 24.06204 71.96288 33.40802 38.28113 50.65731 10.23811 2.595126 98.02494 65.65417 5.904735 17.72737 11.44381 4.076265 19.09317 28.86739 53.00702 46.53781 73.14484 20.58517 5.667654 175.5972 6.193582 1.53079 52.83133 6.501053 25.48111 4.450984 22.09977 20.09785 18.85385 20.40144 32.08476 9.181174 4.506931 12.81428 0.9504811 6.896217 14.74213 1.227278 0.2081714 1.531598 0.5065164 40.95772 32.67847 5.800135 6.430557 3.785358 7.416448 5.184494 1.871275 6.174826 17.81681 13.04283 4.836059 0.2685951 3.748243 11.43728 1.66294 79.74861 28.44397 8.841497 7.657772 1.46857 8.345598 41.00765 -0.1573286 35.49505 555.431 3.358313 24.30978 28.68888 0.2262196 8.528709 22.84671 39.15535 75.40232 59.83744 3.331795 151.8833 39.01993 19.57047 93.5723 41.45301 41.20555 13.60104 64.54525 10.61648 1.782987 27.13616 17.31499 4.636843 18.39967 21.52461 40.90853 27.31755 55.61893 14.05221 28.18836 66.42185 120.9779 13.73945 13.56372 22.20012 7.983656 47.66222 52.5265 39.0286 35.49805 7.940984 6.982411 18.90342 3.464656 4.083399 79.06936 30.40548 136.2521 3.344923 24.09576 5.739315 0.6073308 14.99949 53.12924 30.2293 21.37859 44.8532 205.6866 64.48589 126.6224 22.20246 9.128841 52.12332 15.78768 4.48171 6.178316 40.01998].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [4.68018 1.5626 0.824108 0.488427 9.25229 2.44851 1.45369 1.76603 12.9844 1.72406 0.33449 -0.211101 2.19296 -0.0610148 0.612701 0.404966 1.29732 0.403409 1.78254 3.00444 1.45134 0.266577 2.59893 0.0111971 0.317098 3.29653 1.71858 0.319823 0.514179 0.151993 0.618212 -0.498288 0.722138 11.5457 5.02814 7.16945 1.82297 2.80793 8.55893 0.00371415 -0.0299468 5.60478 1.14547 0.659009 0.459959 -0.0101999 0.94805 1.93576 0.287421 1.36458 0.534002 0.196394 1.45715 -0.0231216 0.223268 0.443203 -0.1924 -0.114172 0.503463 -0.425434 13.3544 6.82613 -0.294757 -0.410147 0.303895 -0.147424 0.358131 1.12694 0.998329 2.98753 0.0908418 0.137599 -0.256071 -0.00975092 1.81659 -0.105377 2.31347 0.635951 -0.00699465 1.1091 0.301794 0.00865621 2.0983 1.29396 1.46773 2.10798 3.06728 6.25156 3.3868 0.305295 0.674139 -0.409015 0.121037 11.8164 4.26728 0.190185 8.79591 2.84571 0.346951 2.31668 3.96626 1.61382 -0.347838 0.272108 0.494776 0.0969763 1.18185 -0.000579228 0.486053 3.18692 0.445023 1.37759 0.671268 1.37565 1.08683 2.74525 2.22997 0.368605 1.46027 -0.00434089 1.41648 0.740281 2.62903 1.97004 1.87646 1.66554 0.824885 0.133049 0.767896 0.3171 2.43992 10.2505 2.51057 9.51881 0.522804 0.724182 0.0940525 0.223001 -0.0166335 1.20157 0.634345 1.02366 8.94336 17.3181 1.46731 1.08868 1.03928 0.748639 2.98584 1.65971 0.168259 0.546464 2.06428].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.011519 1.573 0.61094 -0.16872 0.8354 -0.18395 0.52681 -0.17706 1.5039 -0.079098 0.1029 0.36649 0.11843 -0.03592 -0.33168 0.12451 -0.29035 0.15557 -0.092106 2.144 -0.031667 0.10841 0.36207 0.0096665 0.40451 0.8033 0.2194 -0.073418 0.055207 -0.0078031 0.01969 -0.19189 -0.14422 3.351 0.51775 0.23519 -1.0948 0.49166 1.3482 -0.0023052 -0.059655 1.7294 0.27745 0.77019 -0.34344 0.0011396 0.0011481 -0.24953 -0.22318 0.65225 0.4082 -0.070611 -0.41672 -0.33903 -0.27328 -0.23063 0.01496 -0.4136 0.013621 -0.10269 1.5093 1.9842 0.31313 0.068979 0.048394 0.0016229 -0.085332 -0.017765 0.10351 0.028279 0.24025 0.23164 -0.0012696 -0.49426 0.53854 0.088411 -0.80648 -0.27402 0.047731 0.59104 -0.042773 -0.87187 0.71473 0.17684 -0.27829 2.3518 0.47125 -0.10584 0.52703 -0.10894 0.17678 0.52059 -0.064696 0.60024 1.99 -0.65676 1.6818 1.7882 0.061845 1.2102 0.52703 0.0474 0.070504 -0.057349 0.30349 0.056111 -0.28833 -0.11859 0.074126 -0.039853 -0.33528 -0.012659 -0.16096 -0.049945 -0.025397 0.13299 -0.27811 0.34477 -0.37565 0.097928 0.33996 -0.050863 -0.24669 -0.13025 0.40416 0.088627 0.68234 0.22607 0.11915 0.035696 0.18256 2.3286 1.5451 -0.53315 0.043971 -0.1082 -0.56555 -0.28597 -0.050151 -0.3409 0.077477 -0.42779 1.8033 0.86063 0.97168 0.076139 -0.13021 0.022481 0.068749 0.26143 0.018403 -0.010631 -0.41001].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.21433 -0.14305 0.34973 0.027064 -0.10101 0.10524 -1.2373 0.43413 -0.34967 -0.033116 -0.27022 0.095134 0.17145 0.19415 0.041306 0.085055 -0.14849 -0.13872 0.01273 -0.10565 0.23542 -0.0054638 -0.070127 0.05903 -0.93846 -0.19378 0.19135 0.22679 0.046886 0.024192 -0.13241 0.032132 -0.11272 0.11765 0.24924 -0.078825 0.31409 -0.0933 -1.9192 0.0001127 0.11984 1.1097 -0.15398 -0.23054 0.47792 -0.0065283 -0.0060692 -0.01537 -0.26159 0.36147 -0.0021788 0.06077 0.056791 -0.0018755 0.19415 0.041717 -0.031447 0.23193 0.054004 -0.35286 -2.5041 0.035151 -0.031754 -0.37329 -0.47438 -0.0075183 0.10788 0.077047 0.021123 0.093653 0.2017 0.0096503 0.12816 -0.0431 0.010451 0.019011 -0.063857 0.000664 0.11089 -0.042428 -0.12152 -0.29575 0.039005 -0.36581 0.67651 4.0601 -0.012326 -0.10896 0.49535 -0.14483 0.062666 -0.043477 -0.097726 -0.16069 -1.2359 -0.42484 0.69353 0.4179 0.033372 0.22221 -0.042047 0.066257 -0.33505 -0.11553 -0.38748 0.17582 -0.56517 -0.28421 -0.087236 -0.16873 0.076174 0.020405 0.021268 -0.23993 -0.21464 -1.1179 -0.45081 -0.31711 0.37873 -0.037362 -0.027703 -0.0065377 0.23273 -0.063682 -0.024864 -0.27967 -0.25781 -0.21655 -0.16856 0.071513 0.17994 1.1224 0.0096984 0.11135 -0.074392 0.01921 -0.18278 -0.008494 0.2909 0.04428 -0.18156 -0.38046 1.0922 1.7236 -0.095578 -0.76029 0.20547 -0.029854 0.69405 0.20743 -0.024149 -0.018351 -0.45432].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.035878 -0.11837 -0.014959 0.023596 -0.030158 -0.23467 0.28862 -0.2479 0.50766 0.074506 0.235 -0.16625 0.0055299 0.039578 -0.030101 0.17873 -0.317 -0.22774 0.0038969 0.10782 0.071812 0.0029289 -0.020786 -0.022877 0.24856 1.1558 -0.0085841 0.0067877 -0.0028082 -0.13755 0.16934 0.01525 -0.11917 -0.047698 -0.0035021 -0.022203 -0.032646 -0.014826 -0.030195 -0.01141 0.069459 -0.036894 0.066411 0.041632 0.9045 -0.0051215 -0.0020275 0.19546 -0.57125 -0.08673 0.0041409 0.015724 -0.078848 -0.22061 0.050033 0.072714 0.0048952 0.12097 0.00055736 0.35001 -0.21377 0.040235 -0.013326 0.45061 -0.0071934 -0.22537 -0.45436 0.016375 -0.013382 -0.036959 0.0038369 -0.033365 -0.6097 -0.22503 0.30015 -0.058842 0.17061 0.12028 0.04162 -0.086508 -0.32543 0.30873 0.032264 0.10943 0.021768 0.38846 -0.010634 0.024699 0.039693 0.10367 0.12247 -0.017781 0.08304 -0.14823 -0.010409 0.37832 0.094609 -0.16404 -0.0044101 -0.078207 0.024434 -0.12329 0.056365 0.052797 0.14354 -0.15738 0.031635 0.10259 -0.066032 0.27923 -0.058195 -0.59282 -0.094236 0.27268 0.079746 0.2939 0.54263 0.20776 0.042417 0.35455 -0.24234 -0.20842 -0.084391 0.09744 -0.026927 0.4069 0.27075 0.15573 0.12967 0.11865 0.0075207 0.051846 -0.016223 -0.070342 0.25852 0.077458 0.010504 0.013711 0.27571 0.00023115 0.17532 0.24075 -0.59195 -0.00022649 0.12132 -0.2063 -0.10668 0.014124 -0.30563 0.0043523 -0.25031 0.16935 0.15779].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.051035 0.2319 0.092357 -0.12289 0.12671 0.14759 0.3894 0.19718 0.8157 -0.013097 0.029356 0.15679 -0.0049111 -0.39445 0.02427 -0.47561 0.52112 -0.11821 -0.10025 0.13296 -0.027634 0.0080101 0.03126 0.1111 -0.085581 0.061629 -0.19061 0.01298 -0.55948 0.16402 -0.072356 -0.21475 0.23739 0.041077 -0.031114 -0.15244 -0.0090299 0.076195 -0.001985 0.011917 0.003429 0.28292 0.061991 -0.011407 0.18858 -0.12333 0.0095438 0.025345 -0.11701 0.081152 -0.0098098 -0.0094382 0.099591 0.13327 -0.047235 -0.20208 0.066562 -0.049768 -0.010169 0.064132 0.26474 -0.0074748 0.061009 0.18374 0.52373 0.15733 0.36276 -0.002695 0.0043148 -0.11465 -0.0077907 0.041343 0.40597 0.4753 -0.33024 0.073966 -0.31067 -0.16711 -0.03564 0.047591 0.30912 0.039277 -0.79919 -0.0066658 -0.0020508 0.10788 -0.018024 -0.05075 -0.012774 -0.12571 -0.018594 0.15236 0.0077823 0.13222 -0.0044565 -0.32903 -0.2013 0.07376 -0.017828 0.43801 0.0083606 0.19964 0.40632 0.023786 0.048226 0.12155 0.019751 0.045967 0.15394 -0.059452 -0.29196 0.24173 -0.23285 -0.040843 -0.023291 -0.22076 0.057313 0.23685 -0.020311 -0.35302 0.24605 0.17785 0.016726 -0.0070726 -0.062769 -0.0098366 -0.9465 0.18303 0.0082385 -0.30032 -0.0019404 0.015728 -0.031056 -0.81152 -0.1363 -0.15292 -0.64676 -0.0014456 -0.25018 0.025012 -0.60552 0.14064 2.1474 -0.013693 -0.0069955 -0.10471 -0.3018 0.05213 0.28971 -0.28275 0.32353 0.014727 0.25264].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.095778 -0.098233 -0.058541 0.0013822 -0.0015731 0.040625 -0.056314 -0.085799 -0.0046281 -0.014709 -0.0033931 0.01015 0.0025674 0.36666 -0.14822 0.26705 -0.23727 0.2727 0.2538 -0.23308 -0.1341 -0.10067 0.0073776 -0.040058 -0.32334 -0.025823 0.059423 -0.29647 0.16528 -0.52932 0.078591 0.33609 -0.629 0.015137 -0.19748 0.17886 0.039919 -0.040627 -0.0010848 -0.0065701 -0.29428 -0.19977 -0.10646 0.1948 -0.0081767 0.12667 -0.061326 0.067062 0.0035289 -0.054401 -0.041253 0.0029521 -0.00032728 0.11852 -0.09138 0.21297 -0.036791 -0.27823 -0.051706 0.019146 -0.41366 -0.045772 -0.0057351 0.33654 0.20012 -0.47575 0.13743 -0.0088114 -0.015615 0.15965 -0.12775 -0.0069701 -0.3255 0.00826 0.0924 -0.039949 -0.15022 0.16485 -0.12854 -0.42366 -0.10598 0.042129 -0.28759 -0.2002 -0.16248 0.0050769 -0.032838 -0.5776 -0.11657 0.31342 -0.30994 -0.0038919 -0.063713 0.12472 -0.015965 -0.26309 -0.056866 0.097784 -0.018998 0.014146 -0.12398 -0.024006 -0.14058 -0.1388 0.22964 -0.066034 -0.15983 -0.29433 -0.13314 -0.13856 0.30077 -0.05798 -0.070982 0.026449 -0.14309 0.63159 0.01683 -0.32677 0.022895 -0.19315 -0.02229 -0.010422 -0.015724 -0.012966 0.0056183 -0.60009 0.020547 0.049921 -0.30215 -0.19645 0.0036581 -0.10987 0.053835 0.039042 0.02469 0.20121 0.19356 0.00066936 0.053348 -0.014768 0.16057 0.061153 -0.84748 -0.020325 -0.26507 0.12841 0.41969 -0.027446 -0.031974 0.23215 -0.24525 0.071015 -0.59742].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.071547 0.11305 0.049693 0.073212 0.075342 -0.32439 -0.28446 -0.11405 0.0099715 0.015607 -0.10917 0.00159 -0.00082296 -0.21347 0.14103 0.096867 -0.20461 -0.023781 -0.094174 -0.012617 0.13144 -0.12975 -0.02306 -0.032371 0.38884 0.033507 0.030233 0.086245 -0.0033028 0.18906 -0.0046675 -0.49734 -0.28635 -0.037105 0.074363 -0.013662 -0.73627 -0.065764 -0.073236 0.0064538 0.26127 0.070186 0.13733 -0.12667 0.021656 -0.16992 -0.044264 -0.0017364 -0.0021401 0.064616 0.0038909 -0.042943 -0.099027 -0.17022 0.0030082 -0.14011 0.028487 0.11141 -0.035729 0.0080125 0.14191 0.057633 0.0091339 -0.68804 -0.29824 0.22262 0.018913 -0.029222 0.029637 -0.0011785 0.11619 0.010111 0.50085 0.007208 0.007211 0.040046 0.20694 -0.038223 0.13866 0.51233 0.29876 -0.33141 -0.72216 0.16816 0.16701 0.0098217 0.052454 -0.22026 -0.079313 -0.023542 0.34582 -0.029145 0.067134 0.00010529 0.045382 0.62479 0.14949 -0.099354 -0.16609 0.050914 0.1048 -0.1927 -0.27731 -0.087773 -0.23101 0.047928 0.078462 0.45192 -0.052026 -0.10829 0.096009 0.0058812 0.45601 -0.027431 0.070247 0.14855 0.013738 0.31431 0.015376 0.13013 -0.17034 0.024434 -0.17728 -0.0028664 -0.14516 -0.20626 -0.067659 0.0035317 0.24586 0.17226 -0.0067914 0.10374 -0.049967 -0.41317 -0.014804 0.033995 -0.065567 -0.0082361 -0.10886 0.012988 -0.39182 -0.13354 0.69303 -0.64911 0.22071 -0.0139 -0.1964 0.052737 -0.011445 -0.11234 0.14825 -0.052205 -0.022516].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.12144 -0.016777 -0.093729 -0.066748 -0.30247 -0.022409 0.086493 0.21233 -0.040265 -0.029531 0.016462 -0.081516 0.0011161 -0.45442 -0.40354 0.023952 -0.068044 0.17573 0.040343 -0.27729 -0.14976 0.22994 -0.011597 0.014519 0.0049883 -0.0072604 0.10901 0.10284 0.00063894 0.056213 -0.053762 0.45463 0.21837 0.035229 0.018114 -0.001381 0.98502 0.012938 0.019428 -0.0031379 -0.049218 -0.4301 -0.016943 -0.14218 -0.060903 0.13359 0.063599 -0.22075 0.022216 0.00024895 0.039852 0.049705 0.095691 0.17043 0.12913 0.08683 0.015188 0.16756 0.08589 0.02939 0.42242 -0.0011868 0.000723 0.10047 0.14505 0.28166 -0.26431 -0.10052 -0.22131 -0.021342 -0.13439 -0.053469 0.17173 0.0091949 0.17153 -0.030086 -0.027508 -0.057948 -0.037785 0.0016633 -0.16156 0.12806 -0.5067 -0.15392 -0.12742 -0.0068228 0.014058 0.094688 0.080823 -0.35681 -0.088471 0.037773 -0.059371 -0.54892 -0.069793 1.1193 -0.24348 0.075872 0.14774 -0.0078636 -0.095113 -0.18918 0.44144 0.2645 0.24872 -0.024203 -0.15403 -0.23396 0.05688 0.15697 -0.10062 0.073733 -0.064569 -0.089382 0.27428 0.02904 -0.12553 -0.26881 0.0067496 0.3362 0.16334 0.015097 0.20939 0.0029795 0.13393 0.62296 0.031783 0.00091391 0.063334 -0.0099428 0.02017 -0.01002 0.040537 0.50786 0.12351 -0.19502 0.067564 -0.0090824 -0.0044453 -0.10507 0.28167 0.13645 0.066776 -0.2656 -0.12827 -0.15623 0.18639 0.0045803 0.090886 0.055697 -0.1777 0.094073 0.15253].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.31314 -0.82637 -0.1079 -0.35906 0.33013 0.074773 0.072661 0.074012 -0.0030698 -0.28802 0.015204 0.023187 0.0044502 0.44418 0.38159 -0.50131 0.40819 -0.0199 -0.13624 0.41992 0.12643 -0.1373 0.056442 -0.053824 0.031084 -0.024373 -0.0019786 0.040821 -0.0095285 -0.011535 -0.0153 -0.44709 -0.027825 -0.14485 0.052793 0.012926 0.61488 0.07459 0.035553 0.0033861 0.067964 0.42558 -0.17583 0.0060877 0.071689 0.030041 0.034536 0.057832 0.026497 -0.092446 0.0098904 -0.016927 -0.012711 -0.00013296 -0.086461 0.02339 -0.0074387 -0.016907 0.019881 -0.050864 -0.64646 -0.0079116 -6.5838e-05 -0.074994 -0.029411 0.048074 0.13685 0.10749 0.1687 -0.043674 0.036017 0.023844 0.11018 0.040472 0.025523 0.014486 0.16884 0.074762 0.14989 0.1497 0.073921 0.25691 -0.53193 0.47662 0.12224 0.010528 -0.14013 -0.44531 0.06443 0.15193 0.079386 -0.19496 0.051564 0.97625 0.057831 0.022979 0.33929 0.032057 0.053384 -0.062903 0.17092 0.23781 -0.75873 -0.17971 -0.09611 0.077761 0.24014 0.13519 -0.11965 0.14256 0.10699 -0.2965 0.065315 0.14829 -0.10884 -0.19622 0.064234 -0.40653 -0.016245 -0.31646 -0.14827 -0.0067097 -0.39946 -0.23267 0.0033635 0.024867 0.085981 -0.007742 -0.016058 0.067199 -0.0012101 -0.087871 0.0081825 0.030717 -0.15086 0.11082 0.006497 0.0098007 -0.006131 0.1096 0.29611 -0.14421 0.0050904 -0.74242 0.0097614 0.1438 -0.25274 -0.011157 -0.024968 -0.070276 0.25711 -0.068141 -0.0089274].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Cgroup mem limit exceeded: