[petsc-users] slepc trap for large matrix

[Kannan, Ramakrishnan]

Jose,

I am running in the super computer environment. I just do a “module load cray-petsc-64/3.7.4.0”. I don’t compile PETSc.
-- 
Regards,
Ramki
 

On 6/7/17, 10:41 AM, "Jose E. Roman" <jroman at dsic.upv.es> wrote:

    This option belongs to PETSc's configure, not SLEPc's configure.
    Jose
    
    > El 7 jun 2017, a las 16:37, Kannan, Ramakrishnan <kannanr at ornl.gov> escribió:
    > 
    > Barry,
    > 
    > Thanks for the kind response. I am building slepc 3.7.3 and when I configure –with-64-bit-indices=1, I am getting the following error. 
    > 
    > ./configure --with-64-bit-indices=1 --prefix=/lustre/atlas/proj-shared/csc209/ramki/slepc
    > ERROR: Invalid arguments --with-64-bit-indices=1
    > Use -h for help
    > 
    > When I run ./configure –h, I am getting the following options. Let me know if I am missing something. 
    > 
    > SLEPc Configure Help
    > --------------------------------------------------------------------------------
    > SLEPc:
    >  --with-clean=<bool>          : Delete prior build files including externalpackages
    >  --with-cmake=<bool>          : Enable builds with CMake (disabled by default)
    >  --prefix=<dir>               : Specify location to install SLEPc (e.g., /usr/local)
    >  --DATAFILESPATH=<dir>        : Specify location of datafiles (for SLEPc developers)
    > ARPACK:
    >  --download-arpack[=<fname>]  : Download and install ARPACK in SLEPc directory
    >  --with-arpack=<bool>         : Indicate if you wish to test for ARPACK
    >  --with-arpack-dir=<dir>      : Indicate the directory for ARPACK libraries
    >  --with-arpack-flags=<flags>  : Indicate comma-separated flags for linking ARPACK
    > BLOPEX:
    >  --download-blopex[=<fname>]  : Download and install BLOPEX in SLEPc directory
    > BLZPACK:
    >  --with-blzpack=<bool>        : Indicate if you wish to test for BLZPACK
    >  --with-blzpack-dir=<dir>     : Indicate the directory for BLZPACK libraries
    >  --with-blzpack-flags=<flags> : Indicate comma-separated flags for linking BLZPACK
    > FEAST:
    >  --with-feast=<bool>          : Indicate if you wish to test for FEAST
    >  --with-feast-dir=<dir>       : Indicate the directory for FEAST libraries
    >  --with-feast-flags=<flags>   : Indicate comma-separated flags for linking FEAST
    > PRIMME:
    >  --download-primme[=<fname>]  : Download and install PRIMME in SLEPc directory
    >  --with-primme=<bool>         : Indicate if you wish to test for PRIMME
    >  --with-primme-dir=<dir>      : Indicate the directory for PRIMME libraries
    >  --with-primme-flags=<flags>  : Indicate comma-separated flags for linking PRIMME
    > TRLAN:
    >  --download-trlan[=<fname>]   : Download and install TRLAN in SLEPc directory
    >  --with-trlan=<bool>          : Indicate if you wish to test for TRLAN
    >  --with-trlan-dir=<dir>       : Indicate the directory for TRLAN libraries
    >  --with-trlan-flags=<flags>   : Indicate comma-separated flags for linking TRLAN
    > SOWING:
    >  --download-sowing[=<fname>]  : Download and install SOWING in SLEPc directory
    > 
    > -- 
    > Regards,
    > Ramki
    > 
    > 
    > On 6/6/17, 9:06 PM, "Barry Smith" <bsmith at mcs.anl.gov> wrote:
    > 
    > 
    >      The resulting matrix has something like
    > 
    >>>> 119999808*119999808*1.e-6
    >    14,399,953,920.036863
    > 
    >      nonzero entries. It is possible that some integer operations are overflowing since C int can only go up to about 4 billion before overflowing.
    > 
    >      You can building with a different PETSC_ARCH value using the additional ./configure option for PETSc of --with-64-bit-indices and see if the problem is resolved.
    > 
    >       Barry
    > 
    > 
    >> On Jun 5, 2017, at 12:37 PM, Kannan, Ramakrishnan <kannanr at ornl.gov> wrote:
    >> 
    >> I am running EPS for NHEP on a matrix of size 119999808x119999808 and I am experiencing the attached trapped. This is a 1D row distributed sparse uniform random matrix with 1e-6 sparsity  over 36 processors. It works fine for smaller matrices of sizes with 1.2 million x 1.2 million. Let me know if you are looking for more information.
    >> 
    >> -- 
    >> Regards,
    >> Ramki
    >> 
    >> <slepc.e609742.zip>
    > 
    > 
    > 
    >