[1] | 1 | SUBROUTINE cpu_statistics |
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| 2 | |
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[3] | 3 | !------------------------------------------------------------------------------! |
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[1] | 4 | ! Actual revisions: |
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| 5 | ! ----------------- |
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[222] | 6 | ! Bugfix for nonparallel execution |
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[1] | 7 | ! |
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| 8 | ! Former revisions: |
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| 9 | ! ----------------- |
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[3] | 10 | ! $Id: cpu_statistics.f90 222 2009-01-12 16:04:16Z letzel $ |
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[83] | 11 | ! |
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[198] | 12 | ! 197 2008-09-16 15:29:03Z raasch |
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| 13 | ! Format adjustments in order to allow CPU# > 999, |
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| 14 | ! data are collected from PE0 in an ordered sequence which seems to avoid |
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| 15 | ! hanging of processes on SGI-ICE |
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| 16 | ! |
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[83] | 17 | ! 82 2007-04-16 15:40:52Z raasch |
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| 18 | ! Preprocessor directives for old systems removed |
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| 19 | ! |
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[3] | 20 | ! RCS Log replace by Id keyword, revision history cleaned up |
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| 21 | ! |
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[1] | 22 | ! Revision 1.13 2006/04/26 12:10:51 raasch |
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| 23 | ! Output of number of threads per task, max = min in case of 1 PE |
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| 24 | ! |
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| 25 | ! Revision 1.1 1997/07/24 11:11:11 raasch |
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| 26 | ! Initial revision |
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| 27 | ! |
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| 28 | ! |
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| 29 | ! Description: |
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| 30 | ! ------------ |
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| 31 | ! Analysis and output of the cpu-times measured. All PE results are collected |
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| 32 | ! on PE0 in order to calculate the mean cpu-time over all PEs and other |
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| 33 | ! statistics. The output is sorted according to the amount of cpu-time consumed |
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| 34 | ! and output on PE0. |
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[3] | 35 | !------------------------------------------------------------------------------! |
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[1] | 36 | |
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| 37 | USE cpulog |
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| 38 | USE pegrid |
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| 39 | USE control_parameters |
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| 40 | |
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| 41 | IMPLICIT NONE |
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| 42 | |
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| 43 | INTEGER :: i, ii(1), iii, lp, sender |
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| 44 | REAL, SAVE :: norm = 1.0 |
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| 45 | REAL, DIMENSION(:), ALLOCATABLE :: pe_max, pe_min, pe_rms, sum |
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| 46 | REAL, DIMENSION(:,:), ALLOCATABLE :: pe_log_points |
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| 47 | |
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| 48 | |
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| 49 | ! |
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| 50 | !-- Compute cpu-times in seconds |
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| 51 | log_point%mtime = log_point%mtime / norm |
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| 52 | log_point%sum = log_point%sum / norm |
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| 53 | log_point%vector = log_point%vector / norm |
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| 54 | WHERE ( log_point%counts /= 0 ) |
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| 55 | log_point%mean = log_point%sum / log_point%counts |
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| 56 | END WHERE |
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| 57 | |
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| 58 | |
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| 59 | ! |
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| 60 | !-- Collect cpu-times from all PEs and calculate statistics |
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| 61 | IF ( myid == 0 ) THEN |
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| 62 | ! |
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| 63 | !-- Allocate and initialize temporary arrays needed for statistics |
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| 64 | ALLOCATE( pe_max( SIZE( log_point ) ), pe_min( SIZE( log_point ) ), & |
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| 65 | pe_rms( SIZE( log_point ) ), & |
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| 66 | pe_log_points( SIZE( log_point ), 0:numprocs-1 ) ) |
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| 67 | pe_min = log_point%sum |
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| 68 | pe_max = log_point%sum ! need to be set in case of 1 PE |
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| 69 | pe_rms = 0.0 |
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| 70 | |
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| 71 | #if defined( __parallel ) |
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| 72 | ! |
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| 73 | !-- Receive data from all PEs |
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| 74 | DO i = 1, numprocs-1 |
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| 75 | CALL MPI_RECV( pe_max(1), SIZE( log_point ), MPI_REAL, & |
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[197] | 76 | i, i, comm2d, status, ierr ) |
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[1] | 77 | sender = status(MPI_SOURCE) |
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| 78 | pe_log_points(:,sender) = pe_max |
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| 79 | ENDDO |
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| 80 | pe_log_points(:,0) = log_point%sum ! Results from PE0 |
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| 81 | ! |
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| 82 | !-- Calculate mean of all PEs, store it on log_point%sum |
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| 83 | !-- and find minimum and maximum |
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| 84 | DO iii = 1, SIZE( log_point ) |
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| 85 | DO i = 1, numprocs-1 |
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| 86 | log_point(iii)%sum = log_point(iii)%sum + pe_log_points(iii,i) |
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| 87 | pe_min(iii) = MIN( pe_min(iii), pe_log_points(iii,i) ) |
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| 88 | pe_max(iii) = MAX( pe_max(iii), pe_log_points(iii,i) ) |
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| 89 | ENDDO |
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| 90 | log_point(iii)%sum = log_point(iii)%sum / numprocs |
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| 91 | ! |
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| 92 | !-- Calculate rms |
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| 93 | DO i = 0, numprocs-1 |
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| 94 | pe_rms(iii) = pe_rms(iii) + ( & |
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| 95 | pe_log_points(iii,i) - log_point(iii)%sum & |
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| 96 | )**2 |
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| 97 | ENDDO |
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| 98 | pe_rms(iii) = SQRT( pe_rms(iii) / numprocs ) |
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| 99 | ENDDO |
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| 100 | ELSE |
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| 101 | ! |
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| 102 | !-- Send data to PE0 (pe_max is used as temporary storage to send |
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| 103 | !-- the data in order to avoid sending the data type log) |
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| 104 | ALLOCATE( pe_max( SIZE( log_point ) ) ) |
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| 105 | pe_max = log_point%sum |
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[197] | 106 | CALL MPI_SEND( pe_max(1), SIZE( log_point ), MPI_REAL, 0, myid, comm2d, & |
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[1] | 107 | ierr ) |
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| 108 | #endif |
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| 109 | |
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| 110 | ENDIF |
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| 111 | |
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| 112 | ! |
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| 113 | !-- Write cpu-times |
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| 114 | IF ( myid == 0 ) THEN |
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| 115 | ! |
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| 116 | !-- Re-store sums |
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| 117 | ALLOCATE( sum( SIZE( log_point ) ) ) |
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| 118 | WHERE ( log_point%counts /= 0 ) |
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| 119 | sum = log_point%sum |
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| 120 | ELSEWHERE |
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| 121 | sum = -1.0 |
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| 122 | ENDWHERE |
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| 123 | |
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| 124 | ! |
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| 125 | !-- Write cpu-times sorted by size |
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| 126 | CALL check_open( 18 ) |
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[222] | 127 | #if defined( __parallel ) |
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[1] | 128 | WRITE ( 18, 100 ) TRIM( run_description_header ), & |
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[181] | 129 | numprocs * threads_per_task, pdims(1), pdims(2), & |
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[1] | 130 | threads_per_task |
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[222] | 131 | #else |
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| 132 | WRITE ( 18, 100 ) TRIM( run_description_header ), & |
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| 133 | numprocs * threads_per_task, 1, 1, & |
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| 134 | threads_per_task |
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| 135 | #endif |
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[1] | 136 | DO |
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| 137 | ii = MAXLOC( sum ) |
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| 138 | i = ii(1) |
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| 139 | IF ( sum(i) /= -1.0 ) THEN |
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| 140 | WRITE ( 18, 102 ) & |
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| 141 | log_point(i)%place, log_point(i)%sum, & |
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| 142 | log_point(i)%sum / log_point(1)%sum * 100.0, & |
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| 143 | log_point(i)%counts, pe_min(i), pe_max(i), pe_rms(i) |
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| 144 | sum(i) = -1.0 |
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| 145 | ELSE |
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| 146 | EXIT |
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| 147 | ENDIF |
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| 148 | ENDDO |
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| 149 | ENDIF |
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| 150 | |
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| 151 | |
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| 152 | ! |
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| 153 | !-- The same procedure again for the individual measurements. |
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| 154 | ! |
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| 155 | !-- Compute cpu-times in seconds |
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| 156 | log_point_s%mtime = log_point_s%mtime / norm |
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| 157 | log_point_s%sum = log_point_s%sum / norm |
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| 158 | log_point_s%vector = log_point_s%vector / norm |
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| 159 | WHERE ( log_point_s%counts /= 0 ) |
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| 160 | log_point_s%mean = log_point_s%sum / log_point_s%counts |
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| 161 | END WHERE |
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| 162 | |
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| 163 | ! |
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| 164 | !-- Collect cpu-times from all PEs and calculate statistics |
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| 165 | #if defined( __parallel ) |
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| 166 | ! |
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| 167 | !-- Set barrier in order to avoid that PE0 receives log_point_s-data |
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| 168 | !-- while still busy with receiving log_point-data (see above) |
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| 169 | CALL MPI_BARRIER( comm2d, ierr ) |
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| 170 | #endif |
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| 171 | IF ( myid == 0 ) THEN |
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| 172 | ! |
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| 173 | !-- Initialize temporary arrays needed for statistics |
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| 174 | pe_min = log_point_s%sum |
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| 175 | pe_max = log_point_s%sum ! need to be set in case of 1 PE |
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| 176 | pe_rms = 0.0 |
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| 177 | |
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| 178 | #if defined( __parallel ) |
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| 179 | ! |
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| 180 | !-- Receive data from all PEs |
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| 181 | DO i = 1, numprocs-1 |
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| 182 | CALL MPI_RECV( pe_max(1), SIZE( log_point ), MPI_REAL, & |
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| 183 | MPI_ANY_SOURCE, MPI_ANY_TAG, comm2d, status, ierr ) |
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| 184 | sender = status(MPI_SOURCE) |
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| 185 | pe_log_points(:,sender) = pe_max |
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| 186 | ENDDO |
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| 187 | pe_log_points(:,0) = log_point_s%sum ! Results from PE0 |
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| 188 | ! |
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| 189 | !-- Calculate mean of all PEs, store it on log_point_s%sum |
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| 190 | !-- and find minimum and maximum |
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| 191 | DO iii = 1, SIZE( log_point ) |
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| 192 | DO i = 1, numprocs-1 |
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| 193 | log_point_s(iii)%sum = log_point_s(iii)%sum + pe_log_points(iii,i) |
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| 194 | pe_min(iii) = MIN( pe_min(iii), pe_log_points(iii,i) ) |
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| 195 | pe_max(iii) = MAX( pe_max(iii), pe_log_points(iii,i) ) |
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| 196 | ENDDO |
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| 197 | log_point_s(iii)%sum = log_point_s(iii)%sum / numprocs |
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| 198 | ! |
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| 199 | !-- Calculate rms |
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| 200 | DO i = 0, numprocs-1 |
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| 201 | pe_rms(iii) = pe_rms(iii) + ( & |
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| 202 | pe_log_points(iii,i) - log_point_s(iii)%sum & |
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| 203 | )**2 |
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| 204 | ENDDO |
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| 205 | pe_rms(iii) = SQRT( pe_rms(iii) / numprocs ) |
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| 206 | ENDDO |
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| 207 | ELSE |
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| 208 | ! |
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| 209 | !-- Send data to PE0 (pe_max is used as temporary storage to send |
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| 210 | !-- the data in order to avoid sending the data type log) |
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| 211 | pe_max = log_point_s%sum |
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| 212 | CALL MPI_SEND( pe_max(1), SIZE( log_point ), MPI_REAL, 0, 0, comm2d, & |
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| 213 | ierr ) |
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| 214 | #endif |
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| 215 | |
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| 216 | ENDIF |
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| 217 | |
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| 218 | ! |
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| 219 | !-- Write cpu-times |
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| 220 | IF ( myid == 0 ) THEN |
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| 221 | ! |
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| 222 | !-- Re-store sums |
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| 223 | WHERE ( log_point_s%counts /= 0 ) |
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| 224 | sum = log_point_s%sum |
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| 225 | ELSEWHERE |
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| 226 | sum = -1.0 |
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| 227 | ENDWHERE |
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| 228 | |
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| 229 | ! |
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| 230 | !-- Write cpu-times sorted by size |
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| 231 | WRITE ( 18, 101 ) |
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| 232 | DO |
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| 233 | ii = MAXLOC( sum ) |
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| 234 | i = ii(1) |
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| 235 | IF ( sum(i) /= -1.0 ) THEN |
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| 236 | WRITE ( 18, 102 ) & |
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| 237 | log_point_s(i)%place, log_point_s(i)%sum, & |
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| 238 | log_point_s(i)%sum / log_point(1)%sum * 100.0, & |
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| 239 | log_point_s(i)%counts, pe_min(i), pe_max(i), pe_rms(i) |
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| 240 | sum(i) = -1.0 |
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| 241 | ELSE |
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| 242 | EXIT |
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| 243 | ENDIF |
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| 244 | ENDDO |
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| 245 | |
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| 246 | ! |
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| 247 | !-- Empty lines in order to create a gap to the results of the model |
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| 248 | !-- continuation runs |
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| 249 | WRITE ( 18, 103 ) |
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| 250 | |
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| 251 | ! |
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| 252 | !-- Unit 18 is not needed anymore |
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| 253 | CALL close_file( 18 ) |
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| 254 | |
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| 255 | ENDIF |
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| 256 | |
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| 257 | |
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[181] | 258 | 100 FORMAT (A/11('-')//'CPU measures for ',I5,' PEs (',I5,'(x) * ',I5,'(y', & |
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| 259 | &') tasks *',I5,' threads):'/ & |
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| 260 | &'----------------------------------------------------------', & |
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| 261 | &'------------'//& |
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[1] | 262 | &'place: mean counts min ', & |
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| 263 | &' max rms'/ & |
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| 264 | &' sec. % sec. ', & |
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| 265 | &' sec. sec.'/ & |
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| 266 | &'-----------------------------------------------------------', & |
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| 267 | &'-------------------') |
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| 268 | |
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| 269 | 101 FORMAT (/'special measures:'/ & |
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| 270 | &'-----------------------------------------------------------', & |
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| 271 | &'--------------------') |
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| 272 | |
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| 273 | 102 FORMAT (A20,2X,F9.3,2X,F7.2,1X,I7,3(1X,F9.3)) |
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| 274 | 103 FORMAT (//) |
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| 275 | |
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| 276 | END SUBROUTINE cpu_statistics |
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| 277 | |
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