1 | SUBROUTINE cpu_statistics |
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2 | |
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3 | !------------------------------------------------------------------------------! |
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4 | ! Current revisions: |
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5 | ! ----------------- |
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6 | ! output of handling of ghostpoint exchange |
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7 | ! |
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8 | ! Former revisions: |
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9 | ! ----------------- |
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10 | ! $Id: cpu_statistics.f90 683 2011-02-09 14:25:15Z suehring $ |
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11 | ! |
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12 | ! 622 2010-12-10 08:08:13Z raasch |
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13 | ! output of handling of collective operations |
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14 | ! |
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15 | ! 222 2009-01-12 16:04:16Z letzel |
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16 | ! Bugfix for nonparallel execution |
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17 | ! |
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18 | ! 197 2008-09-16 15:29:03Z raasch |
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19 | ! Format adjustments in order to allow CPU# > 999, |
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20 | ! data are collected from PE0 in an ordered sequence which seems to avoid |
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21 | ! hanging of processes on SGI-ICE |
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22 | ! |
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23 | ! 82 2007-04-16 15:40:52Z raasch |
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24 | ! Preprocessor directives for old systems removed |
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25 | ! |
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26 | ! RCS Log replace by Id keyword, revision history cleaned up |
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27 | ! |
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28 | ! Revision 1.13 2006/04/26 12:10:51 raasch |
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29 | ! Output of number of threads per task, max = min in case of 1 PE |
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30 | ! |
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31 | ! Revision 1.1 1997/07/24 11:11:11 raasch |
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32 | ! Initial revision |
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33 | ! |
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34 | ! |
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35 | ! Description: |
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36 | ! ------------ |
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37 | ! Analysis and output of the cpu-times measured. All PE results are collected |
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38 | ! on PE0 in order to calculate the mean cpu-time over all PEs and other |
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39 | ! statistics. The output is sorted according to the amount of cpu-time consumed |
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40 | ! and output on PE0. |
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41 | !------------------------------------------------------------------------------! |
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42 | |
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43 | USE cpulog |
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44 | USE pegrid |
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45 | USE control_parameters |
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46 | |
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47 | IMPLICIT NONE |
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48 | |
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49 | INTEGER :: i, ii(1), iii, lp, sender |
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50 | REAL, SAVE :: norm = 1.0 |
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51 | REAL, DIMENSION(:), ALLOCATABLE :: pe_max, pe_min, pe_rms, sum |
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52 | REAL, DIMENSION(:,:), ALLOCATABLE :: pe_log_points |
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53 | |
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54 | |
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55 | ! |
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56 | !-- Compute cpu-times in seconds |
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57 | log_point%mtime = log_point%mtime / norm |
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58 | log_point%sum = log_point%sum / norm |
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59 | log_point%vector = log_point%vector / norm |
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60 | WHERE ( log_point%counts /= 0 ) |
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61 | log_point%mean = log_point%sum / log_point%counts |
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62 | END WHERE |
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63 | |
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64 | |
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65 | ! |
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66 | !-- Collect cpu-times from all PEs and calculate statistics |
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67 | IF ( myid == 0 ) THEN |
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68 | ! |
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69 | !-- Allocate and initialize temporary arrays needed for statistics |
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70 | ALLOCATE( pe_max( SIZE( log_point ) ), pe_min( SIZE( log_point ) ), & |
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71 | pe_rms( SIZE( log_point ) ), & |
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72 | pe_log_points( SIZE( log_point ), 0:numprocs-1 ) ) |
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73 | pe_min = log_point%sum |
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74 | pe_max = log_point%sum ! need to be set in case of 1 PE |
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75 | pe_rms = 0.0 |
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76 | |
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77 | #if defined( __parallel ) |
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78 | ! |
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79 | !-- Receive data from all PEs |
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80 | DO i = 1, numprocs-1 |
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81 | CALL MPI_RECV( pe_max(1), SIZE( log_point ), MPI_REAL, & |
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82 | i, i, comm2d, status, ierr ) |
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83 | sender = status(MPI_SOURCE) |
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84 | pe_log_points(:,sender) = pe_max |
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85 | ENDDO |
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86 | pe_log_points(:,0) = log_point%sum ! Results from PE0 |
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87 | ! |
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88 | !-- Calculate mean of all PEs, store it on log_point%sum |
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89 | !-- and find minimum and maximum |
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90 | DO iii = 1, SIZE( log_point ) |
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91 | DO i = 1, numprocs-1 |
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92 | log_point(iii)%sum = log_point(iii)%sum + pe_log_points(iii,i) |
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93 | pe_min(iii) = MIN( pe_min(iii), pe_log_points(iii,i) ) |
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94 | pe_max(iii) = MAX( pe_max(iii), pe_log_points(iii,i) ) |
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95 | ENDDO |
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96 | log_point(iii)%sum = log_point(iii)%sum / numprocs |
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97 | ! |
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98 | !-- Calculate rms |
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99 | DO i = 0, numprocs-1 |
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100 | pe_rms(iii) = pe_rms(iii) + ( & |
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101 | pe_log_points(iii,i) - log_point(iii)%sum & |
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102 | )**2 |
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103 | ENDDO |
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104 | pe_rms(iii) = SQRT( pe_rms(iii) / numprocs ) |
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105 | ENDDO |
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106 | ELSE |
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107 | ! |
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108 | !-- Send data to PE0 (pe_max is used as temporary storage to send |
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109 | !-- the data in order to avoid sending the data type log) |
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110 | ALLOCATE( pe_max( SIZE( log_point ) ) ) |
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111 | pe_max = log_point%sum |
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112 | CALL MPI_SEND( pe_max(1), SIZE( log_point ), MPI_REAL, 0, myid, comm2d, & |
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113 | ierr ) |
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114 | #endif |
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115 | |
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116 | ENDIF |
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117 | |
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118 | ! |
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119 | !-- Write cpu-times |
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120 | IF ( myid == 0 ) THEN |
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121 | ! |
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122 | !-- Re-store sums |
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123 | ALLOCATE( sum( SIZE( log_point ) ) ) |
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124 | WHERE ( log_point%counts /= 0 ) |
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125 | sum = log_point%sum |
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126 | ELSEWHERE |
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127 | sum = -1.0 |
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128 | ENDWHERE |
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129 | |
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130 | ! |
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131 | !-- Write cpu-times sorted by size |
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132 | CALL check_open( 18 ) |
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133 | #if defined( __parallel ) |
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134 | WRITE ( 18, 100 ) TRIM( run_description_header ), & |
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135 | numprocs * threads_per_task, pdims(1), pdims(2), & |
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136 | threads_per_task |
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137 | #else |
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138 | WRITE ( 18, 100 ) TRIM( run_description_header ), & |
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139 | numprocs * threads_per_task, 1, 1, & |
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140 | threads_per_task |
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141 | #endif |
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142 | DO |
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143 | ii = MAXLOC( sum ) |
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144 | i = ii(1) |
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145 | IF ( sum(i) /= -1.0 ) THEN |
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146 | WRITE ( 18, 102 ) & |
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147 | log_point(i)%place, log_point(i)%sum, & |
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148 | log_point(i)%sum / log_point(1)%sum * 100.0, & |
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149 | log_point(i)%counts, pe_min(i), pe_max(i), pe_rms(i) |
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150 | sum(i) = -1.0 |
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151 | ELSE |
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152 | EXIT |
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153 | ENDIF |
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154 | ENDDO |
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155 | ENDIF |
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156 | |
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157 | |
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158 | ! |
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159 | !-- The same procedure again for the individual measurements. |
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160 | ! |
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161 | !-- Compute cpu-times in seconds |
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162 | log_point_s%mtime = log_point_s%mtime / norm |
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163 | log_point_s%sum = log_point_s%sum / norm |
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164 | log_point_s%vector = log_point_s%vector / norm |
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165 | WHERE ( log_point_s%counts /= 0 ) |
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166 | log_point_s%mean = log_point_s%sum / log_point_s%counts |
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167 | END WHERE |
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168 | |
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169 | ! |
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170 | !-- Collect cpu-times from all PEs and calculate statistics |
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171 | #if defined( __parallel ) |
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172 | ! |
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173 | !-- Set barrier in order to avoid that PE0 receives log_point_s-data |
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174 | !-- while still busy with receiving log_point-data (see above) |
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175 | CALL MPI_BARRIER( comm2d, ierr ) |
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176 | #endif |
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177 | IF ( myid == 0 ) THEN |
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178 | ! |
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179 | !-- Initialize temporary arrays needed for statistics |
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180 | pe_min = log_point_s%sum |
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181 | pe_max = log_point_s%sum ! need to be set in case of 1 PE |
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182 | pe_rms = 0.0 |
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183 | |
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184 | #if defined( __parallel ) |
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185 | ! |
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186 | !-- Receive data from all PEs |
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187 | DO i = 1, numprocs-1 |
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188 | CALL MPI_RECV( pe_max(1), SIZE( log_point ), MPI_REAL, & |
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189 | MPI_ANY_SOURCE, MPI_ANY_TAG, comm2d, status, ierr ) |
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190 | sender = status(MPI_SOURCE) |
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191 | pe_log_points(:,sender) = pe_max |
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192 | ENDDO |
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193 | pe_log_points(:,0) = log_point_s%sum ! Results from PE0 |
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194 | ! |
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195 | !-- Calculate mean of all PEs, store it on log_point_s%sum |
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196 | !-- and find minimum and maximum |
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197 | DO iii = 1, SIZE( log_point ) |
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198 | DO i = 1, numprocs-1 |
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199 | log_point_s(iii)%sum = log_point_s(iii)%sum + pe_log_points(iii,i) |
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200 | pe_min(iii) = MIN( pe_min(iii), pe_log_points(iii,i) ) |
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201 | pe_max(iii) = MAX( pe_max(iii), pe_log_points(iii,i) ) |
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202 | ENDDO |
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203 | log_point_s(iii)%sum = log_point_s(iii)%sum / numprocs |
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204 | ! |
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205 | !-- Calculate rms |
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206 | DO i = 0, numprocs-1 |
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207 | pe_rms(iii) = pe_rms(iii) + ( & |
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208 | pe_log_points(iii,i) - log_point_s(iii)%sum & |
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209 | )**2 |
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210 | ENDDO |
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211 | pe_rms(iii) = SQRT( pe_rms(iii) / numprocs ) |
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212 | ENDDO |
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213 | ELSE |
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214 | ! |
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215 | !-- Send data to PE0 (pe_max is used as temporary storage to send |
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216 | !-- the data in order to avoid sending the data type log) |
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217 | pe_max = log_point_s%sum |
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218 | CALL MPI_SEND( pe_max(1), SIZE( log_point ), MPI_REAL, 0, 0, comm2d, & |
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219 | ierr ) |
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220 | #endif |
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221 | |
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222 | ENDIF |
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223 | |
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224 | ! |
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225 | !-- Write cpu-times |
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226 | IF ( myid == 0 ) THEN |
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227 | ! |
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228 | !-- Re-store sums |
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229 | WHERE ( log_point_s%counts /= 0 ) |
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230 | sum = log_point_s%sum |
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231 | ELSEWHERE |
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232 | sum = -1.0 |
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233 | ENDWHERE |
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234 | |
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235 | ! |
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236 | !-- Write cpu-times sorted by size |
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237 | WRITE ( 18, 101 ) |
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238 | DO |
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239 | ii = MAXLOC( sum ) |
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240 | i = ii(1) |
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241 | IF ( sum(i) /= -1.0 ) THEN |
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242 | WRITE ( 18, 102 ) & |
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243 | log_point_s(i)%place, log_point_s(i)%sum, & |
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244 | log_point_s(i)%sum / log_point(1)%sum * 100.0, & |
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245 | log_point_s(i)%counts, pe_min(i), pe_max(i), pe_rms(i) |
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246 | sum(i) = -1.0 |
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247 | ELSE |
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248 | EXIT |
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249 | ENDIF |
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250 | ENDDO |
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251 | |
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252 | ! |
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253 | !-- Output of handling of MPI operations |
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254 | IF ( collective_wait ) THEN |
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255 | WRITE ( 18, 103 ) |
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256 | ELSE |
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257 | WRITE ( 18, 104 ) |
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258 | ENDIF |
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259 | IF ( synchronous_exchange ) THEN |
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260 | WRITE ( 18, 105 ) |
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261 | ELSE |
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262 | WRITE ( 18, 106 ) |
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263 | ENDIF |
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264 | |
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265 | ! |
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266 | !-- Empty lines in order to create a gap to the results of the model |
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267 | !-- continuation runs |
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268 | WRITE ( 18, 107 ) |
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269 | |
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270 | ! |
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271 | !-- Unit 18 is not needed anymore |
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272 | CALL close_file( 18 ) |
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273 | |
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274 | ENDIF |
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275 | |
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276 | |
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277 | 100 FORMAT (A/11('-')//'CPU measures for ',I5,' PEs (',I5,'(x) * ',I5,'(y', & |
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278 | &') tasks *',I5,' threads):'/ & |
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279 | &'----------------------------------------------------------', & |
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280 | &'------------'//& |
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281 | &'place: mean counts min ', & |
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282 | &' max rms'/ & |
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283 | &' sec. % sec. ', & |
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284 | &' sec. sec.'/ & |
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285 | &'-----------------------------------------------------------', & |
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286 | &'-------------------') |
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287 | |
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288 | 101 FORMAT (/'special measures:'/ & |
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289 | &'-----------------------------------------------------------', & |
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290 | &'--------------------') |
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291 | |
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292 | 102 FORMAT (A20,2X,F9.3,2X,F7.2,1X,I7,3(1X,F9.3)) |
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293 | 103 FORMAT (/'Barriers are set in front of collective operations') |
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294 | 104 FORMAT (/'No barriers are set in front of collective operations') |
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295 | 105 FORMAT (/'Exchange of ghostpoints via MPI_SENDRCV') |
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296 | 106 FORMAT (/'Exchange of ghostpoints via MPI_ISEND/MPI_IRECV') |
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297 | 107 FORMAT (//) |
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298 | |
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299 | END SUBROUTINE cpu_statistics |
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300 | |
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