Thanks a lot.
1. I used the following configure option: ./configure --enable-everything
--prefix=$LIBMESH_DIR --with-methods=opt
Does --enable-everything include --enable-parmesh?
Would you please recommend me an optimal option in fully using parallel
computing?
2. If use uniformly_refine(2), the refinement is done after partition? I mean,
every processor do refinement itself?
Thank you.
Regards,
LL
-----原始邮件-----
发件人: "Paul T. Bauman" <[email protected]>
发送时间: 2015年2月7日 星期六
收件人:[email protected]
抄送: "[email protected]" <[email protected]>
主题: Re: [Libmesh-users] A problem on memory blow up when using build_cube() for
3D mesh
On Sat, Feb 7, 2015 at 2:32 AM, <[email protected]> wrote:
Dear developers,
I tried a 3D mesh of 200x200x200 by using build_cube(), on 128 cores.
However, it runs out of memory.
Make sure you use ParallelMesh for this size problem (the default from Mesh is
SerialMesh unless you compiled libMesh with the --enable-parmesh option).
SerialMesh will store the entire mesh on every processor while ParallelMesh
will partition the mesh across processors.
I read the details of build_cube(), it seems that a global 200x200x200 mesh is
generated on every processor.
If this is true, then the meshes are redundant.
In addition to the ParallelMesh suggestion, you could try generating a smaller
mesh, say 50x50x50, and call MeshRefinement(mesh).uniformly_refine(2)
HTH,
Paul
--
Li Luo
https://sites.google.com/site/rolyliluo/
Shenzhen Institutes of Advanced Technology
Address: 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen, P.R.China
Tel: +86-15899753087
[email protected]
--
Li Luo
https://sites.google.com/site/rolyliluo/
Shenzhen Institutes of Advanced Technology
Address: 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen, P.R.China
Tel: +86-15899753087
[email protected]
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