我试图在PETSc中编写LU分解应用程序。我的想法是，程序将打印出非因子矩阵，然后是分解矩阵和分解本身所花费的计数时间。
我根据我在互联网上设法找到的一些信息编写了我的代码（我使用了来自this post的信息来初始化我的矩阵），但不幸的是，它不是＆＃39够了。我的代码编译，但当我尝试运行它时，它只是大喊这个错误：
[0]PETSC ERROR: --------------------- Error Message --------------------------------------------------------------
[0]PETSC ERROR: No support for this operation for this object type
[0]PETSC ERROR: Mat type mpiaij
[0]PETSC ERROR: See http://www.mcs.anl.gov/petsc/documentation/faq.html for trouble shooting.
[0]PETSC ERROR: Petsc Release Version 3.5.2, Sep, 08, 2014
[0]PETSC ERROR: ./petscLUFact on a arch-linux2-c-debug named martin-Aspire-E1-531 by martin Wed Oct 22 22:48:42 2014
[0]PETSC ERROR: Configure options
[0]PETSC ERROR: #1 MatLUFactor() line 2715 in /home/martin/petsc-3.5.2/src/mat/interface/matrix.c
[0]PETSC ERROR: #2 main() line 49 in petscLUFact.c
[0]PETSC ERROR: ----------------End of Error Message -------send entire error message to petsc-maint@mcs.anl.gov----------
application called MPI_Abort(MPI_COMM_WORLD, 56) - process 0
===================================================================================
= BAD TERMINATION OF ONE OF YOUR APPLICATION PROCESSES
= EXIT CODE: 56
= CLEANING UP REMAINING PROCESSES
= YOU CAN IGNORE THE BELOW CLEANUP MESSAGES
===================================================================================
此错误是由MatLUFactor函数引起的，我想将其用于就地LU分解。问题是，我不知道，我的代码究竟出了什么问题。我认为，中心问题可能在于矩阵变量本身，可能是因为分配不好（我考虑MatMPIAIJSetPreallocation函数），但我不确定。
我尝试用MatLUFactorNumeric和MatLUFactorSymbolic替换MatLUFactor函数，但它比MatLUFactor更糟糕，它的错误更大＆＃34;更大＆＃34; ： - ）
最后，我尝试使用此命令启动我的程序：
mpiexec -n 4 ./petscLUFact
所以，如果您知道任何解决方案，我会非常感激;-)谢谢！
Ps：我在很长一段时间内都在寻找可能的解决方案，到目前为止我发现的最接近的文章是this maillist，但提问者使用了ParMETIS和SuperLU软件包，就我而言知道，我不能使用。
这是我的源代码：
static char help[] = "Reads a PETSc matrix and vector from a file and reorders it.\n\
f0 <input_file> : first file to load (small system)\n\
-f1 <input_file> : second file to load (larger system)\n\n";
#include <petscsys.h>
#include <petscmat.h>
int main( int argc, char **args ) {
Mat A; // 'main' matrix
PetscInt r = 2, c = 2; // matrix dimensions (row x col)
PetscInt i,j; // coordinates
PetscInt Istart, Iend;
PetscInt Ii; // counter
PetscScalar v; // 2-dimensional array ??? (I'm not sure)
PetscErrorCode ierr;
PetscInitialize( &argc, &args, (char*)0, help );
// Create matrix
ierr = MatCreate( PETSC_COMM_WORLD, &A );CHKERRQ( ierr );
ierr = MatSetSizes( A, PETSC_DECIDE, PETSC_DECIDE, r*c, r*c );CHKERRQ( ierr );
ierr = MatSetFromOptions(A);CHKERRQ( ierr );
ierr = MatMPIAIJSetPreallocation( A, 2, PETSC_NULL, 2, PETSC_NULL );CHKERRQ( ierr );
ierr = MatGetOwnershipRange(A,&Istart,&Iend);CHKERRQ( ierr );
// INIT matrix
ierr = MatSetValue( A, 0, 0, 1, INSERT_VALUES ); CHKERRQ( ierr );
ierr = MatSetValue( A, 0, 1, 2, INSERT_VALUES ); CHKERRQ( ierr );
ierr = MatSetValue( A, 1, 0, 3, INSERT_VALUES ); CHKERRQ( ierr );
ierr = MatSetValue( A, 1, 1, 1, INSERT_VALUES ); CHKERRQ( ierr );
ierr = MatAssemblyBegin( A, MAT_FINAL_ASSEMBLY ); CHKERRQ( ierr );
ierr = MatAssemblyEnd( A, MAT_FINAL_ASSEMBLY ); CHKERRQ( ierr );
// Print the matrix
ierr = MatView( A, PETSC_VIEWER_STDOUT_WORLD ); CHKERRQ( ierr );
// -----------------
// LU-decomposition
// -----------------
MatFactorInfo mfi;
// MatFactorInfo mfi INIT
ierr = MatFactorInfoInitialize( &mfi ); CHKERRQ( ierr );
mfi.fill = 2;
mfi.dtcol = 0;
IS rowPerm; // variable for row permutations
IS colPerm; // variable for column permutations
// Possible replace for MatLUFactor
/*
Mat Fact;
ierr = MatLUFactorSymbolic( Fact, A, rowPerm, colPerm, &mfi );
ierr = MatLUFactorNumeric( Fact, A, &mfi );
*/
// I've read somewhere, that zeros are enough for last three
// parameters, but it doesn't work too
//ierr = MatLUFactor( A, 0, 0, 0 ); CHKERRQ( ierr );
ierr = MatLUFactor( A, rowPerm, colPerm, &mfi );
ierr = MatView( A, PETSC_VIEWER_STDOUT_WORLD ); CHKERRQ( ierr );
MatDestroy(&A);
PetscFinalize();
return 0;
}
当我使用MatLUFactorNumeric和MatLUFactorSymbolic函数时，这是错误：
[0]PETSC ERROR: --------------------- Error Message --------------------------------------------------------------
[0]PETSC ERROR: No support for this operation for this object type
[0]PETSC ERROR: Matrix format mpiaij does not have a built-in PETSc LU
[0]PETSC ERROR: See http://www.mcs.anl.gov/petsc/documentation/faq.html for trouble shooting.
[0]PETSC ERROR: Petsc Release Version 3.5.2, Sep, 08, 2014
[0]PETSC ERROR: ./petscLUFact on a arch-linux2-c-debug named martin-Aspire-E1-531 by martin Wed Oct 22 23:40:55 2014
[0]PETSC ERROR: Configure options
[0]PETSC ERROR: #1 MatGetFactor() line 3961 in /home/martin/petsc-3.5.2/src/mat/interface/matrix.c
[0]PETSC ERROR: ------------------------------------------------------------------------
[0]PETSC ERROR: Caught signal number 11 SEGV: Segmentation Violation, probably memory access out of range
[0]PETSC ERROR: Try option -start_in_debugger or -on_error_attach_debugger
[0]PETSC ERROR: or see http://www.mcs.anl.gov/petsc/documentation/faq.html#valgrind[0]PETSC ERROR: or try http://valgrind.org on GNU/linux and Apple Mac OS X to find memory corruption errors
[0]PETSC ERROR: likely location of problem given in stack below
[0]PETSC ERROR: --------------------- Stack Frames ------------------------------------
[0]PETSC ERROR: Note: The EXACT line numbers in the stack are not available,
[0]PETSC ERROR: INSTEAD the line number of the start of the function
[0]PETSC ERROR: is given.
[0]PETSC ERROR: [0] MatLUFactorSymbolic line 2825 /home/martin/petsc-3.5.2/src/mat/interface/matrix.c
[0]PETSC ERROR: [0] MatGetFactor line 3944 /home/martin/petsc-3.5.2/src/mat/interface/matrix.c
[0]PETSC ERROR: --------------------- Error Message --------------------------------------------------------------
[0]PETSC ERROR: Signal received
[0]PETSC ERROR: See http://www.mcs.anl.gov/petsc/documentation/faq.html for trouble shooting.
[0]PETSC ERROR: Petsc Release Version 3.5.2, Sep, 08, 2014
[0]PETSC ERROR: ./petscLUFact on a arch-linux2-c-debug named martin-Aspire-E1-531 by martin Wed Oct 22 23:40:55 2014
[0]PETSC ERROR: Configure options
[0]PETSC ERROR: #2 User provided function() line 0 in unknown file
application called MPI_Abort(MPI_COMM_WORLD, 59) - process 0
===================================================================================
= BAD TERMINATION OF ONE OF YOUR APPLICATION PROCESSES
= EXIT CODE: 59
= CLEANING UP REMAINING PROCESSES
= YOU CAN IGNORE THE BELOW CLEANUP MESSAGES
===================================================================================
答案 0 :(得分：1)
以下是错误消息：
[0]PETSC ERROR: No support for this operation for this object type
[0]PETSC ERROR: Mat type mpiaij
因此不支持此操作，即LU分解 垫类型mpiaij。现在我们可以诉诸online documentation了 确实说内置LU只适用于顺序矩阵（seqaij）。 它还显示可用的包，如SuperLU和MUMPS 与PETSc一起使用来并行进行LU分解。这些都可以 使用
自动安装--download-superlu --download-mumps
答案 1 :(得分：0)
应该是
- download-superlu_dist --download parmetis --download-metis --download-mumps --download-scalapack --download-ptscotch