#ifndef lint static char vcid[] = "$Id: matio.c,v 1.15 1995/10/12 21:35:11 bsmith Exp curfman $"; #endif /* This file contains simple binary read/write routines for matrices. */ #include "petsc.h" #include "vec/vecimpl.h" #include "../matimpl.h" #include "sysio.h" #include "pinclude/pviewer.h" extern int MatLoad_MPIRowbs(Viewer,MatType,Mat *); extern int MatLoad_SeqAIJ(Viewer,MatType,Mat *); extern int MatLoad_SeqRow(Viewer,MatType,Mat *); extern int MatLoad_MPIAIJorMPIRow(Viewer,MatType,Mat *); extern int MatLoad_MPIBDiag(Viewer,MatType,Mat *); /*@C MatLoad - Loads a matrix that has been stored in binary format with MatView(). Input Parameters: . bview - binary file viewer, created with ViewerFileOpenBinary() . outtype - type of matrix desired, for example MATSEQAIJ, MATMPIROWBS, etc. See types in petsc/include/mat.h. Output Parameters: . newmat - new matrix Notes: In parallel, each processor can load a subset of rows (or the entire matrix). This routine is especially useful when a large matrix is stored on disk and only part of it is desired on each processor. For example, a parallel solver may access only some of the rows from each processor. The algorithm used here reads relatively small blocks of data rather than reading the entire matrix and then subsetting it. Notes for advanced users: Most users should not need to know the details of the binary storage format, since MatLoad() and MatView() completely hide these details. But for anyone who's interested, the standard binary matrix storage format is $ int MAT_COOKIE $ int number of rows $ int number of columns $ int total number of nonzeros $ int *number nonzeros in each row $ int *column indices of all nonzeros (starting index is zero) $ Scalar *values of all nonzeros .keywords: matrix, load, binary, input .seealso: ViewerFileOpenBinary(), MatView(), VecLoad() @*/ int MatLoad(Viewer bview,MatType outtype,Mat *newmat) { PetscObject vobj = (PetscObject) bview; int ierr,set; MatType type; *newmat = 0; PLogEventBegin(MAT_Load,bview,0,0,0); ierr = MatGetFormatFromOptions(vobj->comm,&type,&set); CHKERRQ(ierr); if (!set) type = outtype; PETSCVALIDHEADERSPECIFIC(vobj,VIEWER_COOKIE); if (vobj->type != BINARY_FILE_VIEWER) SETERRQ(1,"MatLoad: Invalid viewer; open viewer with ViewerFileOpenBinary()"); if (type == MATSEQAIJ) { ierr = MatLoad_SeqAIJ(bview,type,newmat); CHKERRQ(ierr); } else if (type == MATMPIAIJ || type == MATMPIROW) { ierr = MatLoad_MPIAIJorMPIRow(bview,type,newmat); CHKERRQ(ierr); } else if (type == MATMPIBDIAG) { ierr = MatLoad_MPIBDiag(bview,type,newmat); CHKERRQ(ierr); } else if (type == MATSEQROW) { ierr = MatLoad_SeqRow(bview,type,newmat); CHKERRQ(ierr); } #if defined(HAVE_BLOCKSOLVE) && !defined(__cplusplus) else if (type == MATMPIROWBS) { ierr = MatLoad_MPIRowbs(bview,type,newmat); CHKERRQ(ierr); } #endif else { SETERRQ(1,"MatLoad: cannot load with that matrix type yet"); } PLogEventEnd(MAT_Load,bview,0,0,0); return 0; }