Petsc mumps solver The packages can be upgraded or replaced without extra programming effort. Any > suggestions? FEATURES SINCE MUD 2017 IN PETSC INTERFACE version 5. c. Another thing is, I had used another mpi, openmpi/gnu, for compiling Petsc and underworld, uw2 runs well with multiple nodes at first, but after 2-4 hours it would be stuck, without any outputs information and outputs data further, although top command shows it still runs (the script runs well with one node). For smaller problems, the GCPC iterative solver is also worth a try. R. PETSc是一个高大上的科学计算库，求解线性方程是其中一个功能，支持内存共享并行计算机，支持多线程，GPU加速等 -pc_factor_mat_solver_type -petsc, superlu, superlu_dist, mumps, cusparse. Mumps. /configure --with-openmp --download-hwloc (or --with-hwloc) to enable running MUMPS in MPI+OpenMP hybrid mode and non-MUMPS in flat-MPI mode. In my application I factorize a preconditioner matrix with mumps or superlu_dist, using this factorized preconditioner to accelerate gmres on a matrix that is denser than the preconditioner. Voemel, Task Scheduling in an asynchronous distributed multifrontal solver, ENSEEIHT-IRIT Technical Report RT/APO/02/1. 1: /* 2: Provides an interface to the MUMPS sparse solver 3: */ 4: #include <petscpkg_version. Use -pc_type cholesky or lu -pc_factor_mat_solver_type mumps to use this direct solver. h> 5: #include <petscsf. All external packages are optional. /configure --download-mumps --download-scalapack --download-parmetis --download-metis --download-ptscotch to have PETSc installed with MUMPS. Supported sparse direct solver packages include the PETSc native direct solvers, MUMPS, PasTiX, SuperLU, SuperLU_DIST, Umfpack, CHOLMOD, Spooles, LUSOL, MATLAB, and ESSL. Which iterative solver to use? PETSc and GMRES are my favorites. 4b. . Apr 14, 2012 · All direct solvers supported by PETSc are available in Python under a common interface via petsc4py. PETSc provides sequential and parallel data structure; SLEPc offers built-in support for eigensolver and spectral transformation. , enable multithreading in MUMPS), but still run the non-MUMPS part (i. Certainly all parts of a previously sequential code need not be parallelized but the matrix MUMPS 由 CEC ESPRIT IV长期研究计划项目资助 12 MUMPS概述 MUMPS：多波前大规模并行稀疏直接解法器（A MUltifrontal Massively Parallel sparse direct Solver） MUMPS是一个通过直接方法求解线性方程组: Ax=b 的并行软件包，其中A是一个对称或非对称的稀疏方阵。 MOOSE allows users to utilise the full power of the PETSc preconditioners and linear solvers. 使用多波前法的稀疏矩阵求解库，支持并行计算。 MUMPS : a parallel sparse direct solver. 1 to 5. Sep 11, 2018 · Works with MATAIJ and MATSBAIJ matrices. 0 support for BLR via-mat_mumps_icntl_35 transpose solve and sparse distributed block of RHS -mat_mumps_use_omp_threadsto convert With --download-mumps=1, PETSc always build MUMPS in selective 64-bit mode, which can be used by both --with-64-bit-indices=0/1 variants of PETSc. /configure –with-openmp –download-hwloc (or –with-hwloc) to enable running MUMPS in MPI+OpenMP hybrid mode and non-MUMPS in flat-MPI mode. 1. Previous message (by thread): [petsc-users] Help needed with MUMPS solver Next message (by thread): [petsc-users] Help needed with MUMPS solver Messages sorted by: MUMPS 由 CEC ESPRIT IV长期研究计划项目资助 12 MUMPS概述 MUMPS：多波前大规模并行稀疏直接解法器（A MUltifrontal Massively Parallel sparse direct Solver） MUMPS是一个通过直接方法求解线性方程组: Ax=b 的并行软件包，其中A是一个对称或非对称的稀疏方阵。 主要特性 并行计算时候的主要问题是充分利用计算环境并且考虑自己的矩阵特性来调整Linear Solver. pc_type = bjacobi, ksp_type = gmres Apr 17, 2019 · MUMPS Main Features . pc_type = lu, pc_factor_mat_solver_package = mumps (the most robust choice) pc_type = bjacobi, ksp_type = bcgs. 开源. Two modes to run MUMPS/PETSc with OpenMP Set OMP_NUM_THREADS and run with fewer MPI ranks than cores. , for Navier–Stokes equations, advanced matrix-free discretizations, and such. /configure --download-mumps --download-scalapack --download-parmetis --download-metis --download-ptscotch to have PETSc installed with MUMPS Mar 4, 2025 · The test uses a square K matrix of 700k dofs, and > the MatCholeskyFactorNumeric() takes around 14 minutes, while an iterative > solver (KSPCG/PCJACOBI) takes 5 seconds to get the solution. Solution of large linear systems with symmetric positive definite matrices general symmetric matrices general unsymmetric matrices Real or complex arithmetic (single or double precision) Parallel factorization and solve phases (uniprocessor version also available) Out of core numerical phases Actual source code: mumps. [2002] P. /configure –download-mumps –download-scalapack –download-parmetis –download-metis –download-ptscotch to have PETSc installed with MUMPS Use . S. PETSc. Aug 17, 2016 · To use the full potential of parallel computing, use MUMPS. PETSC, MUMPS and LIS are parallel solver packages and they can be (must be) compiled as serial packages. - through the interfaces of PETSc and SLEPc, SIPs easily uses external eigenvalue package ARPACK and parallel sparse direct solver MUMPS. Combining the power and flexibility of PETSc with the ease-of-use of FreeFEM may help design multiphysics solvers, e. Since different PETSc configurations may have different external solvers, seemingly identical runs with different PETSc May 23, 2021 · [petsc-users] Help needed with MUMPS solver Barry Smith bsmith at petsc. MUMPS这类direct solver总会遇到内存问题，主要是因为稀疏矩阵求逆的结果可能是个密集矩阵，总而言之direct solver对于内存是有要求的，总会碰到限制，方程数目太多就必须选用 PARDISO Solver Project. Duff and C. Note# The default type is set by searching for available types based on the order of the calls to MatSolverTypeRegister() in MatInitializePackage(). Dec 19, 2021 · The HPC used PBS for job scheduling, it has 20 nodes, each one has 28 cores. Provide these information to PETSc so that subsequent computations may be done in a distributed fashion. e. 商用，学术用免费. Use . The following choices have been found to be effective for various types of PorousFlow simulations. MUMPS vs (F)GMRES_PETSc+MUMPS Model of graphite reactor core Non-linear study (#dof=2. dev Sun May 23 11:17:58 CDT 2021. 7M) , SomeNewton steps #MPI=48 Behaviour of the pressure vessel #MPI=1 3 hours 20 mins 1 hour Strategy PETSc+MUMPS doesn’t converge (contact [2002] MUMPS poster presented at the Inria exhibit of Supercomputing 2002 (poster in powerpoint format). 8. h> 6: #include 并行计算时候的主要问题是充分利用计算环境并且考虑自己的矩阵特性来调整Linear Solver. 7. , PETSc part) of your code in the so-called flat-MPI (aka pure-MPI) mode, you need to configure PETSc with --with-openmp--download-hwloc (or --with-hwloc), and have an MPI that supports MPI-3. To run MUMPS in MPI+OpenMP hybrid mode (i. Internal preconditioners. 6. The application programmer can then directly call any of the PC or KSP routines to modify the corresponding default options. See details below. In addition, there are other options called “Nonlinear resolution type” and “Line search” features. Use . What do all of these mean? FEM Solver Direct Solver or Iterative Solver: What is the Difference? Hi, I'm having some problems with my PETSc application similar to the ones discussed in this thread, so perhaps one of you can help. Amestoy, I. 7M) 5 days 17 hours <1 day MUMPS PETSc+MUMPS Inner panels of the reactor vessel Big non-linearstudy (#dof=6. For example, if you want to have 16 OpenMP [2002] MUMPS poster presented at the Inria exhibit of Supercomputing 2002 (poster in powerpoint format). g. 40 A matrix type providing direct solvers (LU and Cholesky) for distributed and sequential matrices via the external package MUMPS. To solve a linear system with a direct solver (supported by PETSc for sequential matrices, and by several external solvers through PETSc interfaces, see Using External Linear Solvers) one may use the options -ksp_type preonly (or the equivalent -ksp_type none) -pc_type Index of all Mat routines Table of Contents for all manual pages Index of all manual pages Aug 25, 2024 · 这类问题在科学和工程领域中十分常见，比如结构分析、电路模拟、有限元方法、偏微分方程求解等。mumps是高效且稳健的数值计算工具，特别适合于处理大型稀疏矩阵，能够应对超过百万个未知数的问题。 PETSc should not be used to attempt to provide a “parallel linear solver” in an otherwise sequential code. See the MATSOLVER* man pages here. MUMPS这类direct solver总会遇到内存问题，主要是因为稀疏矩阵求逆的结果可能是个密集矩阵，总而言之direct solver对于内存是有要求的，总会碰到限制，方程数目太多就必须选用 Mar 13, 2024 · Of these, Multfront, MUMPS, and LDLT are direct solvers, while PETSc and GCPC are iterative solvers. Works with MATAIJ and MATSBAIJ matrices Use . 0’s process shared memory (which is MUMPS in PETSc and HPDDM Pierre JOLIVET CNRS, ranceF Abstract Recent advances in adaptive domain decomposition methods have made it possible to solve large systems of equations that where previously challenging for both algebraic multigrid (because of lack of robustness) and exact factorization (because of large FLOP count and memory cost). svofe wyer mdjxy pnjyg yhihbos twah dkzcmf wxy tngf owlwcwt cpxpdwefd yvh pddfu zhuhyg crxbrhj