最近写水动力的程序,体系太大,必须用并行才能算的动,无奈只好找了并行编程的资料学习了.我想我没有必要在博客里开一个什么并行编程的教程之类,因为网上到处都是,我就随手记点重要的笔记吧.这里主要是openmp的~ 1 临界与归约 在涉及到openmp的并行时,最需要注意的就是被并行的区域中的公共变量,对于需要reduce的变量,尤其要注意,比如这段代码: program main implicit none include 'omp_lib.h' integer N,M,i real(kind=
因为总是打参数例如-fopenmp或者-lGL等等有些麻烦,所以特地写一个可以使用的bash文件用来执行简单的操作 首先在.profile中添加 if [ -d "$HOME/bin" ] ; then PATH="$HOME/bin:$PATH" fi 这样使得用户文件夹下的bin可以作为执行程序使用 在$HOME/bin文件夹下写一个这样的bash文件og++(以openmp为例) #!/bin/bash g++ -fopenmp $1 -o test ./te
PROGRAM parallel_01 USE omp_lib IMPLICIT NONE INTEGER :: i,j INTEGER() :: time_begin, time_end, time_rate REAL, DIMENSION(:,:) :: f, g REAL :: k WRITE(*,*) '开始进行串行计算' !>@ .通过串行计算获得两个矩阵的初始化计算 CALL system_clock(time_begin,time_rate) DO i = , DO j = , f
OpenMP for Fortran OpenMP Directive Syntax of OpenMP compiler directive for Fortran: !$OMP DirectiveName Optional_CLAUSES... ... ... Program statements between the !$OMP lines ... are executed in parallel by all threads ... !$OMP END DirectiveName Pr
什么是OpenMP?“OpenMP (Open Multi-Processing) is an application programming interface (API) that supports multi-platform shared memory multiprocessing programming in C, C++ and Fortran on many architectures, including Unix and Microsoft Windows platforms
http://julialang.org/ julia | source | downloads | docs | blog | community | teaching | publications | gsoc | juliacon | rss Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to
第一种方法 ifort -o outprogram Source1.f90 Source2.f90 第二种 在主程序中include 'Source2.f90' program main call prhello end program include 'Source2.f90' subroutine prhello write(*,*)'hello,world' end subroutine 代码如上,include 只是简单的把文件中的东西放到目标位置 然后 ifort -o outprog
Abstract: Paralution is an open source library for sparse iterative methods with special focus on multi-core and accelerator technology such as GPUs. It has a simple fortran interface and not well designed for multiple right-hand-sides. Here we defin
Beginning OpenMP OpenMP provides a straight-forward interface to write software that can use multiple cores of a computer. Using OpenMP you can write code that uses all of the cores in a multicore computer, and that will run faster as more cores beco
以下例子来自https://computing.llnl.gov/tutorials/openMP/exercise.html网站 一.打印线程(Hello world) C****************************************************************************** C FILE: omp_hello.f C DESCRIPTION: C OpenMP Example - Hello World - Fortran Version