On Wed, Oct 10, 2018 at 3:38 AM Ale Foggia wrote:
> Jed, Jose and Matthew,
> I've finally managed to make massif (it gives pretty detailed information,
> I like it) work in the correct way in the cluster and I'm able to track
> down the memory consumption, and what's more important (for me), I
Jed, Jose and Matthew,
I've finally managed to make massif (it gives pretty detailed information,
I like it) work in the correct way in the cluster and I'm able to track
down the memory consumption, and what's more important (for me), I think
now I'm able to make a more accurate prediction of the
> El 4 oct 2018, a las 19:54, Ale Foggia escribió:
>
> Jose:
> - By each step I mean each of the step of the the program in order to
> diagonalize the matrix. For me, those are: creation of basis, preallocation
> of matrix, setting values of matrix, initializing solver,
>
Matthew Knepley writes:
> On Thu, Oct 4, 2018 at 1:54 PM Ale Foggia wrote:
>
>> Thank you both for your answers :)
>>
>> Matt:
>> -Yes, sorry I forgot to tell you that, but I've also called
>> PetscMemorySetGetMaximumUsage() right after initializing SLEPc. Also I've
>> seen a strange behaviour:
On Thu, Oct 4, 2018 at 1:54 PM Ale Foggia wrote:
> Thank you both for your answers :)
>
> Matt:
> -Yes, sorry I forgot to tell you that, but I've also called
> PetscMemorySetGetMaximumUsage() right after initializing SLEPc. Also I've
> seen a strange behaviour: if I ran the same code in my
Thank you both for your answers :)
Matt:
-Yes, sorry I forgot to tell you that, but I've also called
PetscMemorySetGetMaximumUsage() right after initializing SLEPc. Also I've
seen a strange behaviour: if I ran the same code in my computer and in the
cluster *without* the command line option
Regarding the SLEPc part:
- What do you mean by "each step"? Are you calling EPSSolve() several times?
- Yes, the BV object is generally what takes most of the memory. It is
allocated at the beginning of EPSSolve(). Depending on the solver/options,
other memory may be allocated as well.
- You
On Thu, Oct 4, 2018 at 4:43 AM Ale Foggia wrote:
> Hello all,
>
> I'm using SLEPc 3.9.2 (and PETSc 3.9.3) to get the EPS_SMALLEST_REAL of a
> matrix with the following characteristics:
>
> * type: real, Hermitian, sparse
> * linear size: 2333606220
> * distributed in 2048 processes (64 nodes, 32
Hello all,
I'm using SLEPc 3.9.2 (and PETSc 3.9.3) to get the EPS_SMALLEST_REAL of a
matrix with the following characteristics:
* type: real, Hermitian, sparse
* linear size: 2333606220
* distributed in 2048 processes (64 nodes, 32 procs per node)
My code first preallocates the necessary memory
