Parallel computing with solving linear system of equations

9 次查看（过去 30 天）

Diab Abueidda 2019-1-29

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/442147-parallel-computing-with-solving-linear-system-of-equations

评论： Diab Abueidda 2019-2-5

Hi MATLAB community,

I am interested in solving two very large linear systems of equations. I am using two iterative schemes, pcg and bicgstab. Is there a way to solve the two systems in a parallel fashion? I have 24 cores, and I would like to make use of them.

Thanks

Diab

2 个评论
显示无隐藏无

Walter Roberson 2019-1-29

spmd or parfeval() if you have Parallel Computing Toolbox.

But make sure to adjust maxNumCompThreads so that each of the workers can access more than one core.

Diab Abueidda 2019-1-29

编辑：Diab Abueidda 2019-1-29

Thanks Walter for the answer! yes, I have the parallel computing toolbox.

May you sketch the implementation? Let's say that I am interested in solving Ku=f.

请先登录，再进行评论。

请先登录，再回答此问题。

采纳的回答

Walter Roberson 2019-1-29

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/442147-parallel-computing-with-solving-linear-system-of-equations#answer_358597

在 MATLAB Online 中打开

parpool(2)
spmd
    maxNumCompThreads(12);
    if labindex == 1
        do first computation
    else
        do second computation
    end
end

19 个评论
显示 17更早的评论隐藏 17更早的评论

Walter Roberson 2019-2-3

The fastest... sometimes that involves reducing own to fewer cores, as adding too many cores can be adding communications overhead without enough performance gain to balance. Start with a smaller array and do some timing to determine how performance changes with the number of cores.

Secondly, especially if you can get away with single precision calculations, then switching to GPU can sometimes give much much better performance. But I would not count on it for sparse arrays.

Diab Abueidda 2019-2-5