> El 28 ene 2016, a las 8:32, Bikash Kanungo escribió:
>
> Hi,
>
> I was trying to use BVOrthogonalize() function in SLEPc. For smaller problems
> (10-20 vectors of length < 20,000) I'm able to use it without any trouble.
> For larger problems ( > 150 vectors of length > 400,000) the code abo
Hi,
I was trying to use BVOrthogonalize() function in SLEPc. For smaller
problems (10-20 vectors of length < 20,000) I'm able to use it without any
trouble. For larger problems ( > 150 vectors of length > 400,000) the code
aborts citing an MPI_AllReduce error with following message:
Scalar value
Xiangdong writes:
> I have a question on dynamic load balance in petsc. I started running a
> simulation with one partition. As the simulation goes on, that partition
> may lead to load imbalance since it is a non-steady problem. If it is worth
> to perform the load balance, is there an easy way
Hello everyone,
I have a question on dynamic load balance in petsc. I started running a
simulation with one partition. As the simulation goes on, that partition
may lead to load imbalance since it is a non-steady problem. If it is worth
to perform the load balance, is there an easy way to re-parti
Salazar:
Use VecGetArray()/VecRestoreArray(). They access arrays, do not create
any temporary
sequential vectors.
Hong
Hello
>
> Suppose I have four vectors A,B, C and D with the same number of
> components. I would like to do the following component wise vector
> operation:
>
> (A – B) / (C +
Hello
Suppose I have four vectors A,B, C and D with the same number of components. I
would like to do the following component wise vector operation:
(A – B) / (C + D)
I could calculate A-B and C+D and store the results in temporary PETSc vector
temp_result1 and temp_result2 (I need to keep
