I have profiled Parallel quick sort algorithm. when I run it on single processor it give me the result ".clog2" file. but when I run it on more than one process it gives Error and hang the Execution. the Error is given below. <br>
irfan@hpc:~>mpirun -np 1 ./PPPS<br>100<br><br> 1 19 21 44 50 79 88<br> 98 113 124 127 132 151 156 <br>
175 182 195 245 250 259 262 <br> 263 269 298 305 334 336 343 <br>
369 385 387 387 393 398 407 <br>
411 412 412 421 441 481 496 <br> 523 528 531 535 538 545 560 <br>
561 571 580 599 602 604 612 <br> 622 650 652 663 667 684 691 <br>
702 706 706 709 711 717 745 <br> 754 767 767 774 774 777 786 <br>
790 791 791 807 813 815 825 <br> 829 833 836 856 893 897 900 <br>
934 937 946 954 958 961 982 <br> 983 <br>MPI_time : 0.000<br>Writing logfile....<br>Enabling the Default clock synchronization...<br>
Finished writing logfile ./PPPS.clog2.<br>irfan@hpc:~> mpirun -np 2 ./PPPS<br>100<br><br>Ctrl-C caught... cleaning up processes<br>[press Ctrl-C again to force abort]<br>[mpiexec@hpc] HYDT_bscu_wait_for_completion (./tools/bootstrap/utils/bscu_wait.c:99): one of the processes terminated badly; aborting<br>
[mpiexec@hpc] HYDT_bsci_wait_for_completion (./tools/bootstrap/src/bsci_wait.c:18): bootstrap device returned error waiting for completion<br>[mpiexec@hpc] HYD_pmci_wait_for_completion (./pm/pmiserv/pmiserv_pmci.c:352): bootstrap server returned error waiting for completion<br>
[mpiexec@hpc] main (./ui/mpich/mpiexec.c:302): process manager error waiting for completion<br>irfan@hpc:~><br><br><div id="WISESTAMP_SIG_4834"><span style="font-size: 13.3px; font-family: Verdana, Arial, Helvetica, sans-serif;"><div style="border: 1px solid #e5e5e5;background-color: #f8f8f8;padding: 0.8em 0.8em 0.3em 0.8em;">
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src="data:image/png;base64,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" 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