srch

Linear Static Finite Element Problem

Next message: [petsc-users] Performance of mumps vs. Intel Pardiso Messages sorted by: [ date ] [ thread ] [ subject ] [ author ] I am struggling trying to understand why mumps is so much slower than Intel Pardiso solver for my simple test matrix ( 3million^2 sparse symmetrix matrix with ~1000 non-zero entries per line ).

Regarding reordering algorithm of Pardiso. At this time I do not know much about that. I will do some research and see what I can learn. However, I believe Mumps only has two options: -mat_mumps_icntl_29 - ICNTL(29): parallel ordering 1 = ptscotch, 2 = parmetis I have tried both and do not see any speed difference.

All linear system solvers benefit from shared memory parallelism (multicore processors, for example); however, MUMPS do so to a slightly lesser extent than PARDISO and SPOOLES. MUMPS and PARDISO have an option for reusing the preordering, which speeds up the computation but leads to a higher memory peak.

Direct Methods. The direct solvers used by COMSOL are the MUMPS, PARDISO, and SPOOLES solvers. All of the solvers are based on LU decomposition. These ...

Intel MKL PARDISO and MUMPS even establish the first-order time complexity for small size of matrices. C. Direct solvers on an XK node – cuSolver_dense_QR vs.

16.01.2017 · Hello, Running my first Pardiso (cluster) program, and benchmark Mumps. I was expecting that pardiso would be faster or at least close enough but the result is not very encouraging. My environment - Ubuntu 14.04, Intel i3-3240 @ 3.4Ghz, 1 CPU (2 core), 4GB RAM - Latest MUMPS 5.0.2, latest MKL/Pardis...

Download scientific diagram | 2: The ratios of the MUMPS and PARDISO factorize times to the HSL MA87 factorize time (8 cores). from publication: A DAG-based ...

The MUMPS sparse direct solver can handle symmetric indefinite systems and is freely available (http://graal.ens-lyon.fr/MUMPS/). Ian Duff was one of the ...

Faraz: > >Mumps uses parmetis or scotch for parallel symbolic factorization. For > sequential symbolic >factorization, it has several matrix orderings, which > you can experiment with the option >'-mat_mumps_icntl_7 <>'. > > I doubt any of these ordering would match the performance of Pardiso. > > Thanks, I have been experimenting with the ...

Faraz: > >Mumps uses parmetis or scotch for parallel symbolic factorization. For > sequential symbolic >factorization, it has several matrix orderings, which > you can experiment with the option >'-mat_mumps_icntl_7 <>'.> > I doubt any of these ordering would match the performance of Pardiso.> > Thanks, I have been experimenting with the different ordering options in > Mumps.

Jul 20, 2019 · PARDISO vs MUMPS issue Posted Jul 20, 2019, 3:29 a.m. EDT Studies & Solvers, Equation-Based Modeling Version 5.4 0 Replies Dmitry Golovaty

Jan 16, 2017 · - MUMPS took 25 sec to complete the 9612 columns - Pardiso took around 33 sec to complete 3000 columns only (nrhs = 3000), 53 sec to complete 4806 columns (nrhs=4806). so it will be likely more than 100 sec to complete the whole matrix. That's about 4 times of what MUMPS needs.

> > Perhaps correspond with the MUMPS developers > on what MUMPS options might make it faster > > Barry > > > > On Jun 27, 2016, at 5:39 PM, Faraz Hussain > <faraz_hussain at yahoo.com> > wrote: > > > > I am > struggling trying to understand why mumps is so much slower > than Intel Pardiso solver for my simple test matrix ( > 3million^2 sparse ...

20.07.2019 · PARDISO vs MUMPS issue Posted Jul 20, 2019, 3:29 a.m. EDT Studies & Solvers, Equation-Based Modeling Version 5.4 0 Replies Dmitry Golovaty

- Pardiso took around 33 sec to complete 3000 columns only (nrhs = 3000), 53 sec to complete 4806 columns (nrhs=4806). so it will be likely more ...

Of these, Multfront, MUMPS, and LDLT are direct solvers, while PETSc and GCPC are iterative solvers. In addition, there are other options ...

Puzyrev V., Koric S. and Wilkin S., 2016. Evaluation of parallel ... The authors would like to thank the MUMPS and PARDISO developers for providing free ...

[petsc-users] Performance of mumps vs. Intel Pardiso. Hong hzhang at mcs.anl.gov. Wed Jun 29 15:05:56 CDT 2016. Previous message: [petsc-users] Performance ...

> > >----- > On Mon, 6/27/16, Barry Smith <bsmith at mcs.anl.gov> wrote: > > Subject: Re: [petsc-users] Performance of mumps vs. Intel Pardiso > To: "Faraz Hussain" <faraz_hussain at yahoo.com> > Cc: "petsc-users at mcs.anl.gov" <petsc-users at mcs.anl.gov> > Date: Monday, June 27, 2016, 5:50 PM > > > These are the only lines that > matter > > MatSolve > 1 1.0 …

MUMPS is a software application for the solution of large sparse systems of linear algebraic equations on distributed memory parallel computers.

Download scientific diagram | 2: The ratios of the MUMPS and PARDISO factorize times to the HSL MA87 factorize time (8 cores). from publication: A DAG-based sparse Cholesky solver for multicore ...