在Linux下使用Fortran进行并行计算,通常会借助一些并行编程库,如OpenMP、MPI(Message Passing Interface)或者PGI的并行环境。以下是使用这些库进行并行计算的基本步骤:
sudo apt-get install libomp-dev。!$omp parallel do来并行化一个循环。program parallel_example
use omp_lib
implicit none
integer :: i, n = 1000
real :: sum = 0.0
!$omp parallel do reduction(+:sum)
do i = 1, n
sum = sum + sin(real(i))
end do
!$omp end parallel do
print *, 'Sum:', sum
end program parallel_example
-fopenmp标志。gfortran -fopenmp parallel_example.f90 -o parallel_example./parallel_examplesudo apt-get install libopenmpi-devMPI_Init、MPI_Comm_size、MPI_Comm_rank等函数。program mpi_example
use mpi
implicit none
integer :: rank, size, ierr
real :: local_sum = 0.0, global_sum = 0.0
call MPI_Init(ierr)
call MPI_Comm_size(MPI_COMM_WORLD, size, ierr)
call MPI_Comm_rank(MPI_COMM_WORLD, rank, ierr)
! 每个进程计算部分和
do i = 1, 1000 / size
local_sum = local_sum + sin(real(rank * (1000 / size) + i))
end do
! 收集所有进程的部分和
call MPI_Reduce(local_sum, global_sum, 1, MPI_REAL, MPI_SUM, 0, MPI_COMM_WORLD, ierr)
if (rank == 0) then
print *, 'Global Sum:', global_sum
end if
call MPI_Finalize(ierr)
end program mpi_example
mpif90 mpi_example.f90 -o mpi_examplempiexec或mpirun命令来启动并行程序,并指定进程数。mpiexec -n 4 ./mpi_example!$acc parallel loop来并行化循环。program pgi_example
implicit none
integer :: i, n = 1000
real :: sum = 0.0
!$acc parallel loop reduction(+:sum)
do i = 1, n
sum = sum + sin(real(i))
end do
print *, 'Sum:', sum
end program pgi_example
pgfortran -acc pgi_example.f90 -o pgi_example./pgi_example通过以上步骤,你可以在Linux下使用Fortran进行并行计算。选择哪种并行编程模型取决于你的具体需求和硬件环境。