[petsc-users] matrix computation costs large memory

[Li, Zhisong (lizs)]

 Hi, Petsc Team,

I have a Petsc code calculating simple structured grid. The dimension is 96 x 25 x 22 with DOF = 6. When running in parallel or sequential processing on a shared memory machine, it costs about 2.5GB RAM when assembling the matrix and more than 5GB when KSP is solving with GMRES. In the code I use the basic DAGetmatrix(da, MATAIJ, &M) to define the matrix, and it is supposed to be a sparse matrix. Is this normal for Petsc application? If not, how to improve this?


Thank you.


Zhisong Li
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