[petsc-users] Why does GPU solve the large sparse matrix equations only a little faster than CPU?

[Xiangze Zeng]

After I rerun with "deugging=no", the CPU takes 30 minutes, GPU 22 minutes, a little better than before. The attachment are the output of -log_summary.

At 2012-08-04 14:40:33,"Azamat Mametjanov" <azamat.mametjanov at gmail.com> wrote:
What happens if you try to re-run with "--with-debugging=no"?


On Fri, Aug 3, 2012 at 10:00 PM, Xiangze Zeng <zengshixiangze at 163.com> wrote:

Dear Matt,


My CPU is Intel Xeon E5-2609, GPU is Nvidia GF100 [Quadro 4000]. 
The size of the system is 2522469 x 2522469, and the number non-0 elements is 71773925, about 0.000012 of the total. 
The output of -log_summary is in the attachment. The G_log_summary is the output when using GPU, C_log_summary when using CPU. 


Zeng Xiangze


在 2012-08-03 22:28:07，"Matthew Knepley" <knepley at gmail.com> 写道：

On Fri, Aug 3, 2012 at 9:18 AM, Xiangze Zeng <zengshixiangze at 163.com> wrote:

Dear all,


When I use the CPU solve the equations, it takes 78 minutes, when I change to use GPU, it uses 64 minutes, only 15 minutes faster. I see some paper say when using PETCs with GPU to solve the large sparse matrix equations, it can be several times faster? What's the matter?


For all performance questions, we at least need the output of -log_summary. However, we would also need to know


  - The size and sparsity of your system


  - The CPU and GPU you used (saying anything without knowing this is impossible)


   Matt
 
Thank you!


Sincerely,
Zeng Xiangze








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What most experimenters take for granted before they begin their experiments is infinitely more interesting than any results to which their experiments lead.
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