Difference between revisions of "PDR.PODM Distributed Memory"

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(→‎Interesting Findings)
(→‎Interesting Findings)
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* Waiting time per process ?
 
* Waiting time per process ?
 
* Elements before and after each time it was used (main/neighbor) ?
 
* Elements before and after each time it was used (main/neighbor) ?
 +
 +
polling_times[1] = 62.977124
 +
polling_times[2] = 81.895647
 +
polling_times[3] = 79.853833
 +
polling_times[4] = 121.689584
 +
polling_times[5] = 67.187857
 +
polling_times[6] = 77.674953
 +
polling_times[7] = 110.503308
 +
polling_times[8] = 63.927371
 +
polling_times[9] = 63.174693
 +
polling_times[10] = 77.656739
 +
polling_times[11] = 84.785231
 +
polling_times[12] = 86.950730
 +
polling_times[13] = 67.230592
 +
polling_times[14] = 70.842911
 +
 +
int_to_pointer_times[1] = 413.575395
 +
int_to_pointer_times[2] = 393.641700
 +
int_to_pointer_times[3] = 436.249681
 +
int_to_pointer_times[4] = 388.363599
 +
int_to_pointer_times[5] = 454.809466
 +
int_to_pointer_times[6] = 464.654607
 +
int_to_pointer_times[7] = 451.311534
 +
int_to_pointer_times[8] = 417.156188
 +
int_to_pointer_times[9] = 458.370492
 +
int_to_pointer_times[10] = 443.813062
 +
int_to_pointer_times[11] = 466.672172
 +
int_to_pointer_times[12] = 405.445182
 +
int_to_pointer_times[13] = 466.928191
 +
int_to_pointer_times[14] = 427.620845
 +
 +
clear_element_lists_times[1] = 0.000762
 +
clear_element_lists_times[2] = 0.000687
 +
clear_element_lists_times[3] = 0.000647
 +
clear_element_lists_times[4] = 0.000621
 +
clear_element_lists_times[5] = 0.000627
 +
clear_element_lists_times[6] = 0.000670
 +
clear_element_lists_times[7] = 0.000724
 +
clear_element_lists_times[8] = 0.000560
 +
clear_element_lists_times[9] = 0.000868
 +
clear_element_lists_times[10] = 0.002675
 +
clear_element_lists_times[11] = 0.000628
 +
clear_element_lists_times[12] = 0.000851
 +
clear_element_lists_times[13] = 0.001053
 +
clear_element_lists_times[14] = 0.001273
 +
 +
polling_all_times[1] = 140.294989
 +
polling_all_times[2] = 171.339134
 +
polling_all_times[3] = 158.837717
 +
polling_all_times[4] = 230.522151
 +
polling_all_times[5] = 151.359351
 +
polling_all_times[6] = 168.926307
 +
polling_all_times[7] = 236.011997
 +
polling_all_times[8] = 145.662843
 +
polling_all_times[9] = 159.411167
 +
polling_all_times[10] = 171.122498
 +
polling_all_times[11] = 194.755214
 +
polling_all_times[12] = 186.417060
 +
polling_all_times[13] = 152.213076
 +
polling_all_times[14] = 162.141306
 +
 +
wait_in_queue_times1[1] = 2027.081317
 +
wait_in_queue_times1[2] = 2004.238402
 +
wait_in_queue_times1[3] = 2078.419998
 +
wait_in_queue_times1[4] = 2007.550366
 +
wait_in_queue_times1[5] = 1986.886886
 +
wait_in_queue_times1[6] = 1951.253771
 +
wait_in_queue_times1[7] = 1942.383973
 +
wait_in_queue_times1[8] = 2005.419375
 +
wait_in_queue_times1[9] = 1997.842771
 +
wait_in_queue_times1[10] = 1997.673105
 +
wait_in_queue_times1[11] = 2000.956408
 +
wait_in_queue_times1[12] = 1974.561631
 +
wait_in_queue_times1[13] = 1979.973832
 +
wait_in_queue_times1[14] = 2072.972642
 +
 +
wait_in_queue_times2[1] = 3162.564690
 +
wait_in_queue_times2[2] = 3152.861625
 +
wait_in_queue_times2[3] = 3103.681840
 +
wait_in_queue_times2[4] = 3093.594562
 +
wait_in_queue_times2[5] = 3094.828513
 +
wait_in_queue_times2[6] = 3068.933678
 +
wait_in_queue_times2[7] = 3007.889167
 +
wait_in_queue_times2[8] = 3148.827740
 +
wait_in_queue_times2[9] = 3080.482366
 +
wait_in_queue_times2[10] = 3088.332840
 +
wait_in_queue_times2[11] = 3042.559130
 +
wait_in_queue_times2[12] = 3121.678383
 +
wait_in_queue_times2[13] = 3079.916276
 +
wait_in_queue_times2[14] = 3124.285036
 +
 +
mesher_elements[1] = 2288798
 +
mesher_elements[2] = 2536028
 +
mesher_elements[3] = 2709194
 +
mesher_elements[4] = 4263686
 +
mesher_elements[5] = 2157859
 +
mesher_elements[6] = 3134463
 +
mesher_elements[7] = 4804167
 +
mesher_elements[8] = 1975299
 +
mesher_elements[9] = 2373811
 +
mesher_elements[10] = 2721700
 +
mesher_elements[11] = 1998762
 +
mesher_elements[12] = 2323134
 +
mesher_elements[13] = 4775266
 +
mesher_elements[14] = 2789597
 +
meshing_times[1] = 36.443444
 +
meshing_times[2] = 37.558417
 +
meshing_times[3] = 45.448564
 +
meshing_times[4] = 40.453400
 +
meshing_times[5] = 43.791719
 +
meshing_times[6] = 40.182756
 +
meshing_times[7] = 44.701021
 +
meshing_times[8] = 39.561876
 +
meshing_times[9] = 47.492666
 +
meshing_times[10] = 46.783555
 +
meshing_times[11] = 40.445111
 +
meshing_times[12] = 39.889953
 +
meshing_times[13] = 47.444813
 +
meshing_times[14] = 35.083527
 +
total_num_mesher_elements = 43167663
 +
initial_number_of_elements = 2315899
 +
initial_io_time = 9.116445
 +
initial_allocation_time = 0.004795
 +
initial_meshing_time = 3.937135
 +
initial_mesh_distribution_time = 2.665803
 +
get_leaf_elements_time = 0.331813
 +
pointer_to_int_time = 0.138809
 +
pack_data_time = 0.064877
 +
send_data_time = 0.191445
 +
sub_total_time = 3831.977334
 +
max_meshing_time = 47.492666
 +
max_io_time = 9.596057
 +
max_allocation_time = 9.961161
 +
max_recv_time = 0.000000
 +
max_polling_time = 121.689584
 +
max_int_to_pointer_time = 466.928191
 +
max_clear_element_lists_time = 0.002675
 +
max_polling_all_time = 236.011997
 +
max_wait_in_queue_time1 = 2078.419998
 +
max_wait_in_queue_time2 = 3162.564690
 +
elements_per_second = 7311014.065501
 +
elements_per_second1 = 588219.279339
 +
elements_per_second2 = 20765032.278210
 +
master_idle_time = 3831.174962
 +
surface_box_time = 9.046863
 +
edt_time = 0.566338
 +
octree_time = 0.122400
 +
 +
 
{| class="wikitable"
 
{| class="wikitable"
 
! leaf_id || init elements || num_migrations || num_scheduled || num_refined ||  max_size_migration (KB) || min_size_migration (KB) || avg_size_migration (KB) ||  max_time_migration (sec) || min_time_migration (sec) || avg_time_migration (sec)
 
! leaf_id || init elements || num_migrations || num_scheduled || num_refined ||  max_size_migration (KB) || min_size_migration (KB) || avg_size_migration (KB) ||  max_time_migration (sec) || min_time_migration (sec) || avg_time_migration (sec)

Revision as of 13:53, 15 April 2020

Issues

  • No reuse of leaves refined by worker nodes. The picture below shows the issue. Two neighbour leaves (0,1) each refined as the main leaf (0 top, 1 bottom) but not refined as a neighor.

PDR PODM Leaves not refined.png

  • Current algorithm uses neighbour traversal to distribute cells to octree leaving some cells out in some cases. Such a case can happen when a cell is part of an octree leaf based on its circumcenter but

it does not have any neighbour in the same leaf.

PDR PODM Cells not distributed.png

  • During unpacking the incident cell for each vertex is not set correctly. Specifically, in the case that the initial incident cell is not part of the working unit (Leaf + LVL.1 Neighbours) and thus is not local,

it is set to the infinite cell. This causes PODM to crash randomly for some cases.

  • Another issue comes from the way global IDs are updated for each cell's neighbors' IDs. The code that updates the cell's connectivity using global IDs takes the neighbor's pointer, retrieves its global ID and

updates the neighborID field. However, when the neighbour is part of another work unit's leaf and is not local this pointer is NULL. In this case the neighborID field is wrongly reset to the infinite cell ID, which as result, deletes the connectivity information forever.

  • The function that unpacks the required leaves before refinement does not discard duplicate vertices. Duplicate vertices will always be present since each leaf is packed and sent individually, and as a result,

neighbouring leaves will include the shared vertices. Because duplicate vertices are not handled, multiple vertex objects are created that are in fact the same point geometrically. Thus, two cells that share a common vertex could have pointers to two different vertex objects and, as a result, each cell views a different state about the same vertex.

Fixes

PDR Fix.png

Work Unit After Refinement.png


Interesting Findings

PDR PODM Parallelism.png PDR PODM Histogram 15.png

  • How many times migrated a leaf (main and neighbor) ?
  • How many times a leaf is scheduled ? (as main leaf)
  • Packed size for each transmission (MB)/time?
  • Meshing time each time it was main
  • Initial meshing time
  • Per process :
    • Meshing
    • Preprocessing (pack/unpack)
    • waiting time
  • Waiting time per process ?
  • Elements before and after each time it was used (main/neighbor) ?

polling_times[1] = 62.977124 polling_times[2] = 81.895647 polling_times[3] = 79.853833 polling_times[4] = 121.689584 polling_times[5] = 67.187857 polling_times[6] = 77.674953 polling_times[7] = 110.503308 polling_times[8] = 63.927371 polling_times[9] = 63.174693 polling_times[10] = 77.656739 polling_times[11] = 84.785231 polling_times[12] = 86.950730 polling_times[13] = 67.230592 polling_times[14] = 70.842911

int_to_pointer_times[1] = 413.575395 int_to_pointer_times[2] = 393.641700 int_to_pointer_times[3] = 436.249681 int_to_pointer_times[4] = 388.363599 int_to_pointer_times[5] = 454.809466 int_to_pointer_times[6] = 464.654607 int_to_pointer_times[7] = 451.311534 int_to_pointer_times[8] = 417.156188 int_to_pointer_times[9] = 458.370492 int_to_pointer_times[10] = 443.813062 int_to_pointer_times[11] = 466.672172 int_to_pointer_times[12] = 405.445182 int_to_pointer_times[13] = 466.928191 int_to_pointer_times[14] = 427.620845

clear_element_lists_times[1] = 0.000762 clear_element_lists_times[2] = 0.000687 clear_element_lists_times[3] = 0.000647 clear_element_lists_times[4] = 0.000621 clear_element_lists_times[5] = 0.000627 clear_element_lists_times[6] = 0.000670 clear_element_lists_times[7] = 0.000724 clear_element_lists_times[8] = 0.000560 clear_element_lists_times[9] = 0.000868 clear_element_lists_times[10] = 0.002675 clear_element_lists_times[11] = 0.000628 clear_element_lists_times[12] = 0.000851 clear_element_lists_times[13] = 0.001053 clear_element_lists_times[14] = 0.001273

polling_all_times[1] = 140.294989 polling_all_times[2] = 171.339134 polling_all_times[3] = 158.837717 polling_all_times[4] = 230.522151 polling_all_times[5] = 151.359351 polling_all_times[6] = 168.926307 polling_all_times[7] = 236.011997 polling_all_times[8] = 145.662843 polling_all_times[9] = 159.411167 polling_all_times[10] = 171.122498 polling_all_times[11] = 194.755214 polling_all_times[12] = 186.417060 polling_all_times[13] = 152.213076 polling_all_times[14] = 162.141306

wait_in_queue_times1[1] = 2027.081317 wait_in_queue_times1[2] = 2004.238402 wait_in_queue_times1[3] = 2078.419998 wait_in_queue_times1[4] = 2007.550366 wait_in_queue_times1[5] = 1986.886886 wait_in_queue_times1[6] = 1951.253771 wait_in_queue_times1[7] = 1942.383973 wait_in_queue_times1[8] = 2005.419375 wait_in_queue_times1[9] = 1997.842771 wait_in_queue_times1[10] = 1997.673105 wait_in_queue_times1[11] = 2000.956408 wait_in_queue_times1[12] = 1974.561631 wait_in_queue_times1[13] = 1979.973832 wait_in_queue_times1[14] = 2072.972642

wait_in_queue_times2[1] = 3162.564690 wait_in_queue_times2[2] = 3152.861625 wait_in_queue_times2[3] = 3103.681840 wait_in_queue_times2[4] = 3093.594562 wait_in_queue_times2[5] = 3094.828513 wait_in_queue_times2[6] = 3068.933678 wait_in_queue_times2[7] = 3007.889167 wait_in_queue_times2[8] = 3148.827740 wait_in_queue_times2[9] = 3080.482366 wait_in_queue_times2[10] = 3088.332840 wait_in_queue_times2[11] = 3042.559130 wait_in_queue_times2[12] = 3121.678383 wait_in_queue_times2[13] = 3079.916276 wait_in_queue_times2[14] = 3124.285036

mesher_elements[1] = 2288798 mesher_elements[2] = 2536028 mesher_elements[3] = 2709194 mesher_elements[4] = 4263686 mesher_elements[5] = 2157859 mesher_elements[6] = 3134463 mesher_elements[7] = 4804167 mesher_elements[8] = 1975299 mesher_elements[9] = 2373811 mesher_elements[10] = 2721700 mesher_elements[11] = 1998762 mesher_elements[12] = 2323134 mesher_elements[13] = 4775266 mesher_elements[14] = 2789597 meshing_times[1] = 36.443444 meshing_times[2] = 37.558417 meshing_times[3] = 45.448564 meshing_times[4] = 40.453400 meshing_times[5] = 43.791719 meshing_times[6] = 40.182756 meshing_times[7] = 44.701021 meshing_times[8] = 39.561876 meshing_times[9] = 47.492666 meshing_times[10] = 46.783555 meshing_times[11] = 40.445111 meshing_times[12] = 39.889953 meshing_times[13] = 47.444813 meshing_times[14] = 35.083527 total_num_mesher_elements = 43167663 initial_number_of_elements = 2315899 initial_io_time = 9.116445 initial_allocation_time = 0.004795 initial_meshing_time = 3.937135 initial_mesh_distribution_time = 2.665803 get_leaf_elements_time = 0.331813 pointer_to_int_time = 0.138809 pack_data_time = 0.064877 send_data_time = 0.191445 sub_total_time = 3831.977334 max_meshing_time = 47.492666 max_io_time = 9.596057 max_allocation_time = 9.961161 max_recv_time = 0.000000 max_polling_time = 121.689584 max_int_to_pointer_time = 466.928191 max_clear_element_lists_time = 0.002675 max_polling_all_time = 236.011997 max_wait_in_queue_time1 = 2078.419998 max_wait_in_queue_time2 = 3162.564690 elements_per_second = 7311014.065501 elements_per_second1 = 588219.279339 elements_per_second2 = 20765032.278210 master_idle_time = 3831.174962 surface_box_time = 9.046863 edt_time = 0.566338 octree_time = 0.122400


leaf_id init elements num_migrations num_scheduled num_refined max_size_migration (KB) min_size_migration (KB) avg_size_migration (KB) max_time_migration (sec) min_time_migration (sec) avg_time_migration (sec)
0 5140 1 0 1
1 4921 1 0 1
2 4880 1 0 1
3 4714 1 0 1
4 5044 1 0 1
5 4668 1 0 1
6 4741 1 0 1
7 4470 1 1 0
8 4854 1 0 1
9 4733 1 0 1
10 4628 1 0 1
11 4719 1 0 1
12 4747 1 0 1
13 4692 1 0 1
14 4484 1 0 1
15 4439 1 0 1
16 4847 2 0 2 415 415 415.0 0.000405 0.000405 0.000405
17 4597 6 0 6 394 394 394.0 0.015056 0.000377 0.003564199999999999
18 4875 4 0 4 417 417 417.0 0.030162 0.000719 0.016067
19 4704 9 0 9 405 404 404.0 0.019694 0.000544 0.007640875
20 4611 2 0 2 395 395 395.0 0.000401 0.000401 0.000401
21 4515 10 0 10 387 387 387.0 0.023126 0.000373 0.0037203333333333324
22 4715 7 0 7 404 404 404.0 0.016818 0.000444 0.006300166666666667
23 4557 21 1 20 403 394 400.0 0.04192 0.000398 0.01055885
24 4570 10 0 10 392 392 392.0 0.030502 0.000373 0.00599111111111111
25 4666 13 0 13 400 400 400.0 0.047174 0.00068 0.01136525
26 4746 15 0 15 531 407 510.0 0.049097 0.00055 0.00914507142857143
27 4868 17 0 17 621 417 593.0 0.052032 0.000761 0.014502000000000001
28 4481 19 0 19 384 384 384.0 0.019985 0.000293 0.0026930555555555557
29 4509 26 0 26 387 387 387.0 0.034138 0.000437 0.006108079999999999
30 4590 34 4 30 10613 395 8870.0 1.144701 0.000322 0.13719339393939395
31 4752 39 4 35 20063 415 15899.0 2.210566 0.000639 0.17472076315789475
32 4904 1 0 1
33 4767 1 0 1
34 4667 1 0 1
35 4510 1 0 1
36 4929 1 0 1
37 4771 1 0 1
38 4754 1 0 1
39 4459 1 0 1
40 4686 1 0 1
41 4609 1 0 1
42 4489 1 0 1
43 4465 1 0 1
44 4641 1 0 1
45 4707 1 0 1
46 4539 1 0 1
47 4540 1 0 1
48 4813 3 0 3 412 412 412.0 0.000928 0.000405 0.0006665
49 4425 17 0 17 380 380 380.0 0.012858 0.000314 0.0024941250000000002
50 4620 11 0 11 396 396 396.0 0.022816 0.000463 0.006890599999999999
51 4525 32 0 32 388 388 388.0 0.061139 0.000387 0.00679132258064516
52 4762 4 0 4 408 408 408.0 0.046096 0.018953 0.031662
53 4583 19 0 19 393 393 393.0 0.018943 0.000514 0.006347722222222222
54 4628 14 0 14 397 397 397.0 0.041793 0.000596 0.012489384615384614
55 4521 38 1 37 394 389 393.0 0.040649 0.000447 0.009107486486486486
56 4533 33 0 33 388 388 388.0 0.029611 0.000359 0.004132593750000001
57 4476 46 0 46 384 384 384.0 0.038396 0.000364 0.006301111111111111
58 4603 54 4 50 9376 395 8107.0 0.805219 0.000388 0.08217690566037736
59 4798 63 5 58 22391 411 21441.0 2.142464 0.000345 0.19465403225806455
60 4490 36 0 36 385 385 385.0 0.023103 0.000337 0.005721457142857143
61 4512 45 0 45 387 387 387.0 0.038251 0.000424 0.00701115909090909
62 4582 60 6 54 9883 393 8875.0 1.112903 0.000483 0.10731481355932204
63 4699 67 7 60 21908 403 21305.0 1.537622 0.000399 0.1713687424242424
64 4818 1 0 1
65 4816 2 0 2 412 412 412.0 0.00045 0.00045 0.00045
66 4626 1 0 1
67 4727 2 0 2 405 405 405.0 0.000464 0.000464 0.000464
68 4623 1 0 1
69 4837 2 0 2 414 414 414.0 0.000473 0.000473 0.000473
70 4454 1 1 0
71 4429 2 0 2 381 381 381.0 0.000438 0.000438 0.000438
72 4896 1 0 1
73 5117 1 0 1
74 4669 1 0 1
75 4841 1 0 1
76 4804 1 0 1
77 4988 1 0 1
78 4587 1 1 0
79 4616 1 0 1
80 4746 15 0 15 407 407 407.0 0.018839 0.000579 0.010480928571428572
81 4600 17 0 17 394 394 394.0 0.033308 0.000398 0.0047910625
82 4909 22 0 22 627 429 571.0 0.051229 0.000809 0.014659999999999996
83 4768 25 0 25 607 408 570.0 0.054998 0.000675 0.013141125000000002
84 4596 31 0 31 394 394 394.0 0.018374 0.000358 0.005900033333333332
85 4484 33 0 33 385 385 385.0 0.040269 0.000366 0.00621278125
86 4879 45 4 41 21582 818 14618.0 0.856606 0.000981 0.086496
87 4722 54 6 48 19733 413 15960.0 1.694223 0.000403 0.22801369811320754
88 4637 12 0 12 397 397 397.0 0.0184 0.000352 0.006041727272727273
89 4901 6 0 6 419 419 419.0 0.024881 0.000641 0.0060704
90 4698 19 0 19 527 515 522.0 0.032079 0.000546 0.012114944444444442
91 4873 9 0 9 418 418 418.0 0.011423 0.000847 0.004115875
92 4534 24 0 24 388 388 388.0 0.021887 0.00037 0.005878608695652173
93 4708 11 0 11 403 403 403.0 0.015462 0.000409 0.0031311999999999998
94 4609 42 5 37 10745 520 10079.0 0.66151 0.001178 0.13872612195121953
95 4558 22 0 22 408 391 405.0 0.031273 0.000437 0.007883619047619047
96 4594 1 0 1
97 4676 3 0 3 401 401 401.0 0.000473 0.000463 0.000468
98 4465 1 0 1
99 4467 3 0 3 384 384 384.0 0.00045 0.000442 0.000446
100 4726 1 0 1
101 4658 2 0 2 399 399 399.0 0.000494 0.000494 0.000494
102 4508 1 0 1
103 4525 2 0 2 388 388 388.0 0.00049 0.00049 0.00049
104 4718 2 0 2 405 405 405.0 0.000476 0.000476 0.000476
105 4967 2 0 2 425 425 425.0 0.00051 0.00051 0.00051
106 4481 2 0 2 385 385 385.0 0.000452 0.000452 0.000452
107 4571 2 0 2 392 392 392.0 0.000471 0.000471 0.000471
108 4786 1 0 1
109 4823 1 0 1
110 4574 1 1 0
111 4680 1 0 1
112 4574 51 0 51 392 392 392.0 0.047324 0.000392 0.005151880000000001
113 4489 52 0 52 385 385 385.0 0.060409 0.000312 0.005352901960784314
114 4736 72 4 68 23594 414 17669.0 1.006988 0.000343 0.08559649295774648
115 4735 83 7 76 22078 406 18987.0 2.747555 0.000391 0.22780202439024386
116 4481 47 0 47 385 385 385.0 0.03056 0.000375 0.005288021739130433
117 4531 46 0 46 389 389 389.0 0.043212 0.000331 0.006133044444444443
118 4789 69 7 62 20996 418 17145.0 1.757034 0.000356 0.1959893823529412
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422 4997 8 0 8 428 428 428.0 0.018264 0.000888 0.004188142857142856
423 4662 22 0 22 507 399 490.0 0.033772 0.000353 0.008025714285714285
424 4573 82 5 77 35277 402 22154.0 2.837039 0.00038 0.1992594567901235
425 4818 89 5 84 35182 806 27487.0 2.668561 0.000923 0.2510617159090909
426 4656 75 4 71 33359 399 26972.0 3.605494 0.000393 0.23070352702702704
427 4733 85 6 79 35186 803 26906.0 2.148385 0.001151 0.2534797261904762
428 4791 43 0 43 824 410 598.0 0.061868 0.000381 0.012763071428571426
429 4801 50 0 50 828 418 692.0 0.105314 0.000458 0.01660542857142857
430 4864 39 0 39 813 417 708.0 0.077749 0.000402 0.011219026315789474
431 4819 47 0 47 830 419 704.0 0.12412 0.000404 0.01775360869565218
432 4802 10 0 10 412 412 412.0 0.032166 0.001549 0.017082666666666666
433 4539 28 1 27 389 389 389.0 0.03609 0.000333 0.007853185185185185
434 4879 4 0 4 419 419 419.0 0.006336 0.001397 0.003171666666666667
435 4611 14 0 14 395 395 395.0 0.032176 0.000359 0.004410692307692308
436 4963 4 0 4 426 426 426.0 0.027804 0.003123 0.018338666666666666
437 4680 13 0 13 401 401 401.0 0.053547 0.000353 0.014278583333333332
438 5121 1 0 1
439 4895 6 0 6 419 419 419.0 0.002139 0.000369 0.0009146
440 4603 51 5 46 8138 394 7770.0 0.621619 0.000386 0.11887989999999997
441 4716 59 6 53 27410 26301 27193.0 2.486348 0.040779 0.2281169827586206
442 4632 26 0 26 397 397 397.0 0.074324 0.000361 0.007343720000000001
443 4744 32 0 32 416 415 416.0 0.039913 0.000351 0.006988709677419356
444 4702 25 0 25 457 403 451.0 0.043997 0.0004 0.013928625
445 4706 30 0 30 664 650 661.0 0.112822 0.000748 0.017773827586206895
446 4859 12 0 12 417 417 417.0 0.031074 0.000372 0.004786181818181818
447 4733 16 0 16 405 405 405.0 0.033453 0.000516 0.006051666666666667
448 4897 107 6 101 35565 33683 34325.0 2.645486 0.048617 0.2759087735849056
449 4650 117 2 115 35626 787 11202.0 1.791986 0.000833 0.06600013793103447
450 5058 109 4 105 35732 831 12667.0 2.009291 0.000859 0.11539344444444445
451 4974 123 4 119 35507 434 14205.0 1.231043 0.000446 0.09115389344262297
452 5005 122 1 121 35599 832 7269.0 1.296529 0.000915 0.0766922561983471
453 4770 127 6 121 35574 417 12855.0 3.740406 0.000396 0.12524660317460318
454 5064 122 4 118 35542 442 12207.0 1.872247 0.000406 0.09492408264462804
455 4957 130 5 125 35538 424 14981.0 1.966265 0.000435 0.14356921705426354
456 4554 86 5 81 34474 397 19853.0 2.973064 0.000401 0.15387572941176472
457 4677 46 0 46 723 401 519.0 0.085646 0.000392 0.011321000000000003
458 4732 89 4 85 30690 411 18431.0 1.739284 0.000686 0.12749639772727275
459 4695 48 0 48 498 403 445.0 0.070023 0.000396 0.00976304255319149
460 4533 88 6 82 35102 397 21665.0 3.031303 0.00034 0.17297327586206898
461 4772 45 0 45 830 409 634.0 0.13479 0.000348 0.017723477272727273
462 4644 90 4 86 27091 400 18316.0 2.759531 0.000395 0.1462850786516854
463 4641 46 0 46 453 398 429.0 0.104275 0.000357 0.007952155555555554
464 4788 82 4 78 35243 419 22832.0 1.589552 0.000755 0.18275070370370367
465 4735 86 4 82 34216 412 21257.0 3.345671 0.000393 0.2542693764705883
466 4892 48 0 48 832 419 617.0 0.048519 0.000446 0.013317765957446806
467 4819 49 0 49 726 413 554.0 0.038178 0.000361 0.0082098125
468 4822 83 5 78 34963 420 22461.0 2.44696 0.000458 0.20808632926829274
469 4702 84 5 79 29335 407 24187.0 2.070507 0.000404 0.1608520240963856
470 4645 44 0 44 758 399 593.0 0.05755 0.000389 0.01065479069767442
471 4582 45 0 45 515 394 476.0 0.034257 0.000358 0.006913636363636363
472 4662 60 5 55 11136 491 8511.0 1.083163 0.000576 0.1518878813559322
473 4734 31 0 31 406 406 406.0 0.048088 0.000472 0.010535466666666667
474 4866 33 0 33 417 417 417.0 0.038007 0.000418 0.009182343750000002
475 4893 17 0 17 419 419 419.0 0.06294 0.000539 0.0093403125
476 4484 58 7 51 5364 419 5145.0 0.261769 0.000609 0.047153982456140345
477 4727 29 0 29 405 405 405.0 0.034762 0.000366 0.0063151785714285705
478 4697 31 0 31 403 403 403.0 0.028912 0.000386 0.0056612
479 4925 16 0 16 422 422 422.0 0.042014 0.000402 0.009589733333333333
480 4768 93 7 86 35230 417 18915.0 1.356041 0.000426 0.11487182608695652
481 4712 92 7 85 35223 411 24164.0 1.253467 0.000408 0.13666809890109888
482 4747 92 4 88 35260 415 23816.0 4.385892 0.000431 0.2551370549450549
483 4810 92 5 87 35180 420 27049.0 2.063221 0.000409 0.20561160439560433
484 4779 52 0 52 831 410 545.0 0.109925 0.000376 0.013762313725490201
485 5030 51 0 51 854 431 657.0 0.113004 0.000493 0.011624299999999999
486 4864 51 0 51 838 417 626.0 0.108181 0.000395 0.01531288
487 4769 49 0 49 829 410 690.0 0.168691 0.000383 0.017501604166666667
488 4529 64 6 58 34834 782 28737.0 0.840911 0.000907 0.15293260317460325
489 4700 31 0 31 806 411 712.0 0.064498 0.000452 0.013004799999999999
490 4534 66 5 61 26892 504 23483.0 1.320047 0.000522 0.14104806153846153
491 4722 32 0 32 509 405 491.0 0.043317 0.0004 0.009192580645161293
492 4762 33 0 33 817 414 715.0 0.13401 0.000606 0.018534718749999995
493 4914 16 0 16 430 420 427.0 0.032486 0.000537 0.011139133333333336
494 4825 33 0 33 737 415 675.0 0.095071 0.000385 0.0099645
495 4936 15 0 15 424 423 424.0 0.030645 0.00039 0.01171842857142857
496 4563 62 5 57 30962 750 28752.0 2.497906 0.001256 0.2965245409836066
497 4604 59 6 53 21928 502 20663.0 0.991498 0.000552 0.12354541379310344
498 4704 33 0 33 443 404 438.0 0.039556 0.000417 0.010182187499999999
499 4581 32 0 32 395 393 395.0 0.030057 0.000359 0.005512225806451612
500 4679 32 0 32 709 407 666.0 0.08843 0.000411 0.01497041935483871
501 4697 29 0 29 583 404 567.0 0.041782 0.000377 0.008812607142857143
502 4859 17 0 17 416 416 416.0 0.02546 0.000419 0.004625125
503 4940 15 0 15 423 423 423.0 0.029683 0.000334 0.006086142857142858
504 4587 41 4 37 2074 1818 2041.0 0.08827 0.002139 0.0208681
505 4644 20 0 20 398 398 398.0 0.016099 0.000404 0.003742052631578947
506 4663 22 0 22 400 400 400.0 0.038095 0.000426 0.008067095238095238
507 4810 11 0 11 412 412 412.0 0.022261 0.000391 0.0048446999999999995
508 4595 20 0 20 405 401 404.0 0.031597 0.000323 0.008233894736842103
509 4723 9 0 9 404 404 404.0 0.036299 0.000321 0.011594375
510 4803 10 0 10 411 411 411.0 0.029019 0.000336 0.005391999999999999
511 5033 4 0 4 430 430 430.0 0.002389 0.000346 0.0010416666666666667
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