我使用与OpenMP并行化的相对简单的代码来熟悉gprof。
我的代码主要包括从输入文件中收集数据,执行一些数组操作以及将新数据写入不同的输出文件。我对内在子例程CPU_TIME
进行了一些调用,以查看gprof是否准确:
PROGRAM main
USE global_variables
USE fileio, ONLY: read_old_restart, write_new_restart, output_slice, write_solution
USE change_vars
IMPLICIT NONE
REAL(dp) :: t0, t1
!~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
CALL CPU_TIME(t0)
CALL allocate_data
CALL CPU_TIME(t1)
PRINT*, "Allocate data =", t1 - t0
!~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
CALL CPU_TIME(t0)
CALL build_grid
CALL CPU_TIME(t1)
PRINT*, "Build grid =", t1 - t0
!~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
CALL CPU_TIME(t0)
CALL read_old_restart
CALL CPU_TIME(t1)
PRINT*, "Read restart =", t1 - t0
!~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
CALL CPU_TIME(t0)
CALL regroup_all
CALL CPU_TIME(t1)
PRINT*, "Regroup all =", t1 - t0
!~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
CALL CPU_TIME(t0)
CALL redistribute_all
CALL CPU_TIME(t1)
PRINT*, "Redistribute =", t1 - t0
!~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
CALL CPU_TIME(t0)
CALL write_new_restart
CALL CPU_TIME(t1)
PRINT*, "Write restart =", t1 - t0
END PROGRAM main
这是输出:
Allocate data = 1.000000000000000E-003
Build grid = 0.000000000000000E+000
Read restart = 10.7963590000000
Regroup all = 6.65998700000000
Redistribute = 14.3518180000000
Write restart = 53.5218640000000
因此,write_new_restart
子程序最耗时,占总运行时间的62%。但是根据grof,由redistribute_vars
多次调用的子例程redistribute_all
是最耗时的,占总时间的70%。这是gprof的输出:
Each sample counts as 0.01 seconds.
% cumulative self self total
time seconds seconds calls s/call s/call name
74.40 8.95 8.95 61 0.15 0.15 change_vars_mp_redistribute_vars_
19.12 11.25 2.30 60 0.04 0.04 change_vars_mp_regroup_vars_
6.23 12.00 0.75 63 0.01 0.01 change_vars_mp_fill_last_blocks_
0.08 12.01 0.01 1 0.01 2.31 change_vars_mp_regroup_all_
0.08 12.02 0.01 __intel_ssse3_rep_memcpy
0.08 12.03 0.01 for_open
0.00 12.03 0.00 1 0.00 12.01 MAIN__
0.00 12.03 0.00 1 0.00 0.00 change_vars_mp_build_grid_
0.00 12.03 0.00 1 0.00 9.70 change_vars_mp_redistribute_all_
0.00 12.03 0.00 1 0.00 0.00 fileio_mp_read_old_restart_
0.00 12.03 0.00 1 0.00 0.00 fileio_mp_write_new_restart_
0.00 12.03 0.00 1 0.00 0.00 global_variables_mp_allocate_data_
index % time self children called name
0.00 12.01 1/1 main [2]
[1] 99.8 0.00 12.01 1 MAIN__ [1]
0.00 9.70 1/1 change_vars_mp_redistribute_all_ [3]
0.01 2.30 1/1 change_vars_mp_regroup_all_ [5]
0.00 0.00 1/1 global_variables_mp_allocate_data_ [13]
0.00 0.00 1/1 change_vars_mp_build_grid_ [10]
0.00 0.00 1/1 fileio_mp_read_old_restart_ [11]
0.00 0.00 1/1 fileio_mp_write_new_restart_ [12]
-----------------------------------------------
<spontaneous>
[2] 99.8 0.00 12.01 main [2]
0.00 12.01 1/1 MAIN__ [1]
-----------------------------------------------
0.00 9.70 1/1 MAIN__ [1]
[3] 80.6 0.00 9.70 1 change_vars_mp_redistribute_all_ [3]
8.95 0.00 61/61 change_vars_mp_redistribute_vars_ [4]
0.75 0.00 63/63 change_vars_mp_fill_last_blocks_ [7]
-----------------------------------------------
8.95 0.00 61/61 change_vars_mp_redistribute_all_ [3]
[4] 74.4 8.95 0.00 61 change_vars_mp_redistribute_vars_ [4]
-----------------------------------------------
0.01 2.30 1/1 MAIN__ [1]
[5] 19.2 0.01 2.30 1 change_vars_mp_regroup_all_ [5]
2.30 0.00 60/60 change_vars_mp_regroup_vars_ [6]
-----------------------------------------------
2.30 0.00 60/60 change_vars_mp_regroup_all_ [5]
[6] 19.1 2.30 0.00 60 change_vars_mp_regroup_vars_ [6]
-----------------------------------------------
0.75 0.00 63/63 change_vars_mp_redistribute_all_ [3]
[7] 6.2 0.75 0.00 63 change_vars_mp_fill_last_blocks_ [7]
-----------------------------------------------
<spontaneous>
[8] 0.1 0.01 0.00 for_open [8]
-----------------------------------------------
<spontaneous>
[9] 0.1 0.01 0.00 __intel_ssse3_rep_memcpy [9]
-----------------------------------------------
0.00 0.00 1/1 MAIN__ [1]
[10] 0.0 0.00 0.00 1 change_vars_mp_build_grid_ [10]
-----------------------------------------------
0.00 0.00 1/1 MAIN__ [1]
[11] 0.0 0.00 0.00 1 fileio_mp_read_old_restart_ [11]
-----------------------------------------------
0.00 0.00 1/1 MAIN__ [1]
[12] 0.0 0.00 0.00 1 fileio_mp_write_new_restart_ [12]
-----------------------------------------------
0.00 0.00 1/1 MAIN__ [1]
[13] 0.0 0.00 0.00 1 global_variables_mp_allocate_data_ [13]
-----------------------------------------------
为了您的信息,regroup_all
多次拨打regroup_vars
,多次拨打redistribute_all
来电redistribute_vars
和fill_last_blocks
。
我正在使用ifort
选项-openmp -O2 -pg
编译我的代码。
问题:
为什么gprof没有看到我的文件i / o子程序占用的时间? (read_old_restart
,write_new_restart
)
答案 0 :(得分:1)
gprof
具体不包括I / O时间。它只试图测量CPU时间。
那是因为它只做两件事:1)在1/100秒时钟上对程序计数器进行采样,程序计数器在I / O期间无意义,以及2)计算任何函数的次数B由任何函数A调用。
从呼叫计数中,它试图猜测每个功能的CPU时间可以归因于每个呼叫者的多少。 这是对预先存在的剖析器的全面推进。
当您使用gprof
时,您应该了解它的作用和what it doesn't do。