Suppose I have the following requirements for writing monitor files from a simulation:
- You need to write a large number of individual files, usually in the amount of 10,000
- Files must be human readable, i.e. formatted I / O
- Periodically, a new line is added to each file. Usually every 50 seconds.
- New data should be available almost instantly, so large manual write buffers are not parameters
- We are in the Luster file system, which seems to be optimized for the very opposite: sequential writing to a small number of large files.
I did not formulate the requirements myself, so, unfortunately, it makes no sense to discuss them. I just wanted to find the best possible solution with the above assumptions. I came up with a small working example to test several implementations. Here is the best I could do so far:
!===============================================================!
! program to test some I/O implementations for many small files !
!===============================================================!
PROGRAM iotest
use types
use omp_lib
implicit none
INTEGER(I4B), PARAMETER :: steps = 1000
INTEGER(I4B), PARAMETER :: monitors = 1000
INTEGER(I4B), PARAMETER :: cachesize = 10
INTEGER(I8B) :: counti, countf, count_rate, counti_global, countf_global
REAL(DP) :: telapsed, telapsed_global
REAL(DP), DIMENSION(:,:), ALLOCATABLE :: density, pressure, vel_x, vel_y, vel_z
INTEGER(I4B) :: n, t, unitnumber, c, i, thread
CHARACTER(LEN=100) :: dummy_char, number
REAL(DP), DIMENSION(:,:,:), ALLOCATABLE :: writecache_real
call system_clock(counti_global,count_rate)
! allocate cache
allocate(writecache_real(5,cachesize,monitors))
writecache_real = 0.0_dp
! fill values
allocate(density(steps,monitors), pressure(steps,monitors), vel_x(steps,monitors), vel_y(steps,monitors), vel_z(steps,monitors))
do n=1, monitors
do t=1, steps
call random_number(density(t,n))
call random_number(pressure(t,n))
call random_number(vel_x(t,n))
call random_number(vel_y(t,n))
call random_number(vel_z(t,n))
end do
end do
! create files
do n=1, monitors
write(number,'(I0.8)') n
dummy_char = 'monitor_' // trim(adjustl(number)) // '.dat'
open(unit=20, file=trim(adjustl(dummy_char)), status='replace', action='write')
close(20)
end do
call system_clock(counti)
! write data
c = 0
do t=1, steps
c = c + 1
do n=1, monitors
writecache_real(1,c,n) = density(t,n)
writecache_real(2,c,n) = pressure(t,n)
writecache_real(3,c,n) = vel_x(t,n)
writecache_real(4,c,n) = vel_y(t,n)
writecache_real(5,c,n) = vel_z(t,n)
end do
if(c .EQ. cachesize .OR. t .EQ. steps) then
!$OMP PARALLEL DEFAULT(SHARED) PRIVATE(n,number,dummy_char,unitnumber, thread)
thread = OMP_get_thread_num()
unitnumber = thread + 20
!$OMP DO
do n=1, monitors
write(number,'(I0.8)') n
dummy_char = 'monitor_' // trim(adjustl(number)) // '.dat'
open(unit=unitnumber, file=trim(adjustl(dummy_char)), status='old', action='write', position='append', buffered='yes')
write(unitnumber,'(5ES25.15)') writecache_real(:,1:c,n)
close(unitnumber)
end do
!$OMP END DO
!$OMP END PARALLEL
c = 0
end if
end do
call system_clock(countf)
call system_clock(countf_global)
telapsed=real(countf-counti,kind=dp)/real(count_rate,kind=dp)
telapsed_global=real(countf_global-counti_global,kind=dp)/real(count_rate,kind=dp)
write(*,*)
write(*,'(A,F15.6,A)') ' elapsed wall time for I/O: ', telapsed, ' seconds'
write(*,'(A,F15.6,A)') ' global elapsed wall time: ', telapsed_global, ' seconds'
write(*,*)
END PROGRAM iotest
Key features: OpenMP parallelization and manual write buffer. Here are some of the timings in the Luster file system with 16 threads:
- cachesize = 5: elapsed wall time for I / O: 991.627404 seconds
- cachesize = 10: elapsed wall time for I / O: 415.456265 seconds
- cachesize = 20: elapsed wall time for I / O: 93.842964 seconds
- cachesize = 50: elapsed wall time for I / O: 79.859099 seconds
- cachesize = 100: elapsed wall time for I / O: 23.937832 seconds
- cachesize = 1000: elapsed wall time for I / O: 10.472421 seconds
, 16 :
- cachesize = 1: -: 5.543722
- cachesize = 2: -: 2.791811
- cachesize = 3: -: 1.752962
- cachesize = 4: -: 1.630385
- cachesize = 5: -: 1,174099
- cachesize = 10: -: 0.700624
- cachesize = 20: -: 0.433936
- cachesize = 50: -: 0.425782
- cachesize = 100: -: 0,227552
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