> [ 0.000000] (0:maestro@) Configuration change: Set 'cpu/optim' to 'Full'
> [ 0.000000] (1:master@Tremblay) Got 6 workers and 20 tasks to process
> [ 0.000000] (1:master@Tremblay) Sending "Task_0" (of 20) to mailbox "worker-0"
-> [ 0.002203] (1:master@Tremblay) Sending "Task_1" (of 20) to mailbox "worker-1"
-> [ 0.004406] (1:master@Tremblay) Sending "Task_2" (of 20) to mailbox "worker-2"
-> [ 0.006610] (1:master@Tremblay) Sending "Task_3" (of 20) to mailbox "worker-3"
-> [ 0.008813] (1:master@Tremblay) Sending "Task_4" (of 20) to mailbox "worker-4"
-> [ 0.011016] (1:master@Tremblay) Sending "Task_5" (of 20) to mailbox "worker-5"
-> [ 0.013219] (1:master@Tremblay) Sending "Task_6" (of 20) to mailbox "worker-0"
-> [ 0.514116] (1:master@Tremblay) Sending "Task_7" (of 20) to mailbox "worker-1"
-> [ 0.516320] (1:master@Tremblay) Sending "Task_8" (of 20) to mailbox "worker-2"
-> [ 0.518523] (1:master@Tremblay) Sending "Task_9" (of 20) to mailbox "worker-3"
-> [ 0.520726] (1:master@Tremblay) Sending "Task_10" (of 20) to mailbox "worker-4"
-> [ 0.522929] (1:master@Tremblay) Sending "Task_11" (of 20) to mailbox "worker-5"
-> [ 0.525132] (1:master@Tremblay) Sending "Task_12" (of 20) to mailbox "worker-0"
-> [ 1.026029] (1:master@Tremblay) Sending "Task_13" (of 20) to mailbox "worker-1"
-> [ 1.028233] (1:master@Tremblay) Sending "Task_14" (of 20) to mailbox "worker-2"
-> [ 1.030436] (1:master@Tremblay) Sending "Task_15" (of 20) to mailbox "worker-3"
-> [ 1.032639] (1:master@Tremblay) Sending "Task_16" (of 20) to mailbox "worker-4"
-> [ 1.034842] (1:master@Tremblay) Sending "Task_17" (of 20) to mailbox "worker-5"
-> [ 1.037045] (1:master@Tremblay) Sending "Task_18" (of 20) to mailbox "worker-0"
-> [ 1.537943] (1:master@Tremblay) Sending "Task_19" (of 20) to mailbox "worker-1"
-> [ 1.540146] (1:master@Tremblay) All tasks have been dispatched. Let's tell everybody the computation is over.
-> [ 2.047848] (2:worker@Tremblay) I'm done. See you!
-> [ 2.050051] (3:worker@Tremblay) I'm done. See you!
-> [ 2.050246] (4:worker@Tremblay) I'm done. See you!
-> [ 2.050441] (5:worker@Tremblay) I'm done. See you!
-> [ 2.050636] (6:worker@Tremblay) I'm done. See you!
-> [ 2.050832] (7:worker@Tremblay) I'm done. See you!
-> [ 2.050832] (0:maestro@) Simulation time 2.05083
+> [ 0.002265] (1:master@Tremblay) Sending "Task_1" (of 20) to mailbox "worker-1"
+> [ 0.004531] (1:master@Tremblay) Sending "Task_2" (of 20) to mailbox "worker-2"
+> [ 0.006796] (1:master@Tremblay) Sending "Task_3" (of 20) to mailbox "worker-3"
+> [ 0.009061] (1:master@Tremblay) Sending "Task_4" (of 20) to mailbox "worker-4"
+> [ 0.011326] (1:master@Tremblay) Sending "Task_5" (of 20) to mailbox "worker-5"
+> [ 0.013592] (1:master@Tremblay) Sending "Task_6" (of 20) to mailbox "worker-0"
+> [ 0.514241] (1:master@Tremblay) Sending "Task_7" (of 20) to mailbox "worker-1"
+> [ 0.516506] (1:master@Tremblay) Sending "Task_8" (of 20) to mailbox "worker-2"
+> [ 0.518771] (1:master@Tremblay) Sending "Task_9" (of 20) to mailbox "worker-3"
+> [ 0.521036] (1:master@Tremblay) Sending "Task_10" (of 20) to mailbox "worker-4"
+> [ 0.523302] (1:master@Tremblay) Sending "Task_11" (of 20) to mailbox "worker-5"
+> [ 0.525567] (1:master@Tremblay) Sending "Task_12" (of 20) to mailbox "worker-0"
+> [ 1.026216] (1:master@Tremblay) Sending "Task_13" (of 20) to mailbox "worker-1"
+> [ 1.028481] (1:master@Tremblay) Sending "Task_14" (of 20) to mailbox "worker-2"
+> [ 1.030746] (1:master@Tremblay) Sending "Task_15" (of 20) to mailbox "worker-3"
+> [ 1.033012] (1:master@Tremblay) Sending "Task_16" (of 20) to mailbox "worker-4"
+> [ 1.035277] (1:master@Tremblay) Sending "Task_17" (of 20) to mailbox "worker-5"
+> [ 1.037542] (1:master@Tremblay) Sending "Task_18" (of 20) to mailbox "worker-0"
+> [ 1.538191] (1:master@Tremblay) Sending "Task_19" (of 20) to mailbox "worker-1"
+> [ 1.540456] (1:master@Tremblay) All tasks have been dispatched. Let's tell everybody the computation is over.
+> [ 2.048096] (2:worker@Tremblay) I'm done. See you!
+> [ 2.050361] (3:worker@Tremblay) I'm done. See you!
+> [ 2.050557] (4:worker@Tremblay) I'm done. See you!
+> [ 2.050752] (5:worker@Tremblay) I'm done. See you!
+> [ 2.050947] (6:worker@Tremblay) I'm done. See you!
+> [ 2.051142] (7:worker@Tremblay) I'm done. See you!
+> [ 2.051142] (0:maestro@) Simulation time 2.05114
> [rank 13] -> Ginette
> [rank 14] -> Ginette
> [rank 15] -> Ginette
-> [ 0.427747] (5:4@Jupiter) The quickest allreduce was redbcast on rank 4 and took 0.007484
-> [ 0.427747] (6:5@Jupiter) The quickest allreduce was redbcast on rank 5 and took 0.007514
-> [ 0.427747] (7:6@Jupiter) The quickest allreduce was redbcast on rank 6 and took 0.007514
-> [ 0.427747] (8:7@Jupiter) The quickest allreduce was redbcast on rank 7 and took 0.007545
-> [ 0.427959] (13:12@Ginette) The quickest allreduce was mvapich2_two_level on rank 12 and took 0.007247
-> [ 0.427959] (14:13@Ginette) The quickest allreduce was mvapich2_two_level on rank 13 and took 0.007278
-> [ 0.427959] (15:14@Ginette) The quickest allreduce was mvapich2_two_level on rank 14 and took 0.007278
-> [ 0.427959] (16:15@Ginette) The quickest allreduce was ompi on rank 15 and took 0.007263
-> [ 0.429351] (2:1@Tremblay) The quickest allreduce was redbcast on rank 1 and took 0.006005
-> [ 0.429351] (3:2@Tremblay) The quickest allreduce was redbcast on rank 2 and took 0.006005
-> [ 0.429351] (4:3@Tremblay) The quickest allreduce was redbcast on rank 3 and took 0.006036
-> [ 0.430502] (10:9@Fafard) The quickest allreduce was mvapich2_two_level on rank 9 and took 0.006492
-> [ 0.430502] (11:10@Fafard) The quickest allreduce was mvapich2_two_level on rank 10 and took 0.006492
-> [ 0.430502] (12:11@Fafard) The quickest allreduce was mvapich2_two_level on rank 11 and took 0.006523
-> [ 0.430502] (9:8@Fafard) The quickest allreduce was mvapich2_two_level on rank 8 and took 0.006462
-> [ 0.434487] (1:0@Tremblay) For rank 0, the quickest was redbcast : 0.005990 , but global was mvapich2_two_level : 0.008672 at max
+> [ 0.427764] (8:7@Jupiter) The quickest allreduce was redbcast on rank 7 and took 0.007546
+> [ 0.427764] (5:4@Jupiter) The quickest allreduce was redbcast on rank 4 and took 0.007485
+> [ 0.427764] (7:6@Jupiter) The quickest allreduce was redbcast on rank 6 and took 0.007515
+> [ 0.427764] (6:5@Jupiter) The quickest allreduce was redbcast on rank 5 and took 0.007515
+> [ 0.427976] (14:13@Ginette) The quickest allreduce was mvapich2_two_level on rank 13 and took 0.007278
+> [ 0.427976] (13:12@Ginette) The quickest allreduce was mvapich2_two_level on rank 12 and took 0.007247
+> [ 0.427976] (16:15@Ginette) The quickest allreduce was ompi on rank 15 and took 0.007263
+> [ 0.427976] (15:14@Ginette) The quickest allreduce was mvapich2_two_level on rank 14 and took 0.007278
+> [ 0.429367] (2:1@Tremblay) The quickest allreduce was redbcast on rank 1 and took 0.006006
+> [ 0.429367] (3:2@Tremblay) The quickest allreduce was redbcast on rank 2 and took 0.006006
+> [ 0.429367] (4:3@Tremblay) The quickest allreduce was redbcast on rank 3 and took 0.006037
+> [ 0.430519] (12:11@Fafard) The quickest allreduce was mvapich2_two_level on rank 11 and took 0.006523
+> [ 0.430519] (10:9@Fafard) The quickest allreduce was mvapich2_two_level on rank 9 and took 0.006492
+> [ 0.430519] (9:8@Fafard) The quickest allreduce was mvapich2_two_level on rank 8 and took 0.006462
+> [ 0.430519] (11:10@Fafard) The quickest allreduce was mvapich2_two_level on rank 10 and took 0.006492
+> [ 0.434504] (1:0@Tremblay) For rank 0, the quickest was redbcast : 0.005991 , but global was mvapich2_two_level : 0.008672 at max
> [0] sndbuf=[0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 ]
> [1] sndbuf=[16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 ]
> [2] sndbuf=[32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 ]