1 2 /* -------------------------------------------------------------------- */ 3 4 /* 5 Include files needed for the ViennaCL row-scaling preconditioner: 6 pcimpl.h - private include file intended for use by all preconditioners 7 */ 8 #define PETSC_SKIP_SPINLOCK 9 #define PETSC_SKIP_IMMINTRIN_H_CUDAWORKAROUND 1 10 11 #include <petsc/private/pcimpl.h> /*I "petscpc.h" I*/ 12 #include <../src/mat/impls/aij/seq/aij.h> 13 #include <../src/vec/vec/impls/dvecimpl.h> 14 #include <../src/mat/impls/aij/seq/seqviennacl/viennaclmatimpl.h> 15 #include <../src/vec/vec/impls/seq/seqviennacl/viennaclvecimpl.h> 16 #include <viennacl/linalg/row_scaling.hpp> 17 18 /* 19 Private context (data structure) for the ROWSCALINGVIENNACL preconditioner. 20 */ 21 typedef struct { 22 viennacl::linalg::row_scaling< viennacl::compressed_matrix<PetscScalar> > *ROWSCALINGVIENNACL; 23 } PC_ROWSCALINGVIENNACL; 24 25 26 /* -------------------------------------------------------------------------- */ 27 /* 28 PCSetUp_ROWSCALINGVIENNACL - Prepares for the use of the ROWSCALINGVIENNACL preconditioner 29 by setting data structures and options. 30 31 Input Parameter: 32 . pc - the preconditioner context 33 34 Application Interface Routine: PCSetUp() 35 36 Notes: 37 The interface routine PCSetUp() is not usually called directly by 38 the user, but instead is called by PCApply() if necessary. 39 */ 40 static PetscErrorCode PCSetUp_ROWSCALINGVIENNACL(PC pc) 41 { 42 PC_ROWSCALINGVIENNACL *rowscaling = (PC_ROWSCALINGVIENNACL*)pc->data; 43 PetscBool flg = PETSC_FALSE; 44 PetscErrorCode ierr; 45 Mat_SeqAIJViennaCL *gpustruct; 46 47 PetscFunctionBegin; 48 ierr = PetscObjectTypeCompare((PetscObject)pc->pmat,MATSEQAIJVIENNACL,&flg);CHKERRQ(ierr); 49 if (!flg) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_SUP,"Currently only handles ViennaCL matrices"); 50 if (pc->setupcalled != 0) { 51 try { 52 delete rowscaling->ROWSCALINGVIENNACL; 53 } catch(char *ex) { 54 SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"ViennaCL error: %s", ex); 55 } 56 } 57 try { 58 #if defined(PETSC_USE_COMPLEX) 59 gpustruct = NULL; 60 SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_SUP,"No support for complex arithmetic in ROWSCALINGVIENNACL preconditioner"); 61 #else 62 ierr = MatViennaCLCopyToGPU(pc->pmat);CHKERRQ(ierr); 63 gpustruct = (Mat_SeqAIJViennaCL*)(pc->pmat->spptr); 64 65 viennacl::linalg::row_scaling_tag pc_tag(1); 66 ViennaCLAIJMatrix *mat = (ViennaCLAIJMatrix*)gpustruct->mat; 67 rowscaling->ROWSCALINGVIENNACL = new viennacl::linalg::row_scaling<viennacl::compressed_matrix<PetscScalar> >(*mat, pc_tag); 68 #endif 69 } catch(char *ex) { 70 SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"ViennaCL error: %s", ex); 71 } 72 PetscFunctionReturn(0); 73 } 74 75 /* -------------------------------------------------------------------------- */ 76 /* 77 PCApply_ROWSCALINGVIENNACL - Applies the ROWSCALINGVIENNACL preconditioner to a vector. 78 79 Input Parameters: 80 . pc - the preconditioner context 81 . x - input vector 82 83 Output Parameter: 84 . y - output vector 85 86 Application Interface Routine: PCApply() 87 */ 88 static PetscErrorCode PCApply_ROWSCALINGVIENNACL(PC pc,Vec x,Vec y) 89 { 90 PC_ROWSCALINGVIENNACL *ilu = (PC_ROWSCALINGVIENNACL*)pc->data; 91 PetscErrorCode ierr; 92 PetscBool flg1,flg2; 93 viennacl::vector<PetscScalar> const *xarray=NULL; 94 viennacl::vector<PetscScalar> *yarray=NULL; 95 96 PetscFunctionBegin; 97 /*how to apply a certain fixed number of iterations?*/ 98 ierr = PetscObjectTypeCompare((PetscObject)x,VECSEQVIENNACL,&flg1);CHKERRQ(ierr); 99 ierr = PetscObjectTypeCompare((PetscObject)y,VECSEQVIENNACL,&flg2);CHKERRQ(ierr); 100 if (!(flg1 && flg2)) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_SUP, "Currently only handles ViennaCL vectors"); 101 if (!ilu->ROWSCALINGVIENNACL) { 102 ierr = PCSetUp_ROWSCALINGVIENNACL(pc);CHKERRQ(ierr); 103 } 104 ierr = VecSet(y,0.0);CHKERRQ(ierr); 105 ierr = VecViennaCLGetArrayRead(x,&xarray);CHKERRQ(ierr); 106 ierr = VecViennaCLGetArrayWrite(y,&yarray);CHKERRQ(ierr); 107 try { 108 #if defined(PETSC_USE_COMPLEX) 109 110 #else 111 *yarray = *xarray; 112 ilu->ROWSCALINGVIENNACL->apply(*yarray); 113 #endif 114 } catch(char * ex) { 115 SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"ViennaCL error: %s", ex); 116 } 117 ierr = VecViennaCLRestoreArrayRead(x,&xarray);CHKERRQ(ierr); 118 ierr = VecViennaCLRestoreArrayWrite(y,&yarray);CHKERRQ(ierr); 119 ierr = PetscObjectStateIncrease((PetscObject)y);CHKERRQ(ierr); 120 PetscFunctionReturn(0); 121 } 122 /* -------------------------------------------------------------------------- */ 123 /* 124 PCDestroy_ROWSCALINGVIENNACL - Destroys the private context for the ROWSCALINGVIENNACL preconditioner 125 that was created with PCCreate_ROWSCALINGVIENNACL(). 126 127 Input Parameter: 128 . pc - the preconditioner context 129 130 Application Interface Routine: PCDestroy() 131 */ 132 static PetscErrorCode PCDestroy_ROWSCALINGVIENNACL(PC pc) 133 { 134 PC_ROWSCALINGVIENNACL *rowscaling = (PC_ROWSCALINGVIENNACL*)pc->data; 135 PetscErrorCode ierr; 136 137 PetscFunctionBegin; 138 if (rowscaling->ROWSCALINGVIENNACL) { 139 try { 140 delete rowscaling->ROWSCALINGVIENNACL; 141 } catch(char *ex) { 142 SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"ViennaCL error: %s", ex); 143 } 144 } 145 146 /* 147 Free the private data structure that was hanging off the PC 148 */ 149 ierr = PetscFree(pc->data);CHKERRQ(ierr); 150 PetscFunctionReturn(0); 151 } 152 153 static PetscErrorCode PCSetFromOptions_ROWSCALINGVIENNACL(PetscOptionItems *PetscOptionsObject,PC pc) 154 { 155 PetscErrorCode ierr; 156 157 PetscFunctionBegin; 158 ierr = PetscOptionsHead(PetscOptionsObject,"ROWSCALINGVIENNACL options");CHKERRQ(ierr); 159 ierr = PetscOptionsTail();CHKERRQ(ierr); 160 PetscFunctionReturn(0); 161 } 162 163 /* -------------------------------------------------------------------------- */ 164 165 166 /*MC 167 PCRowScalingViennaCL - A diagonal preconditioner (scaling rows of matrices by their norm) that can be used via the CUDA, OpenCL, and OpenMP backends of ViennaCL 168 169 Level: advanced 170 171 .seealso: PCCreate(), PCSetType(), PCType (for list of available types), PC 172 173 M*/ 174 175 PETSC_EXTERN PetscErrorCode PCCreate_ROWSCALINGVIENNACL(PC pc) 176 { 177 PC_ROWSCALINGVIENNACL *rowscaling; 178 PetscErrorCode ierr; 179 180 PetscFunctionBegin; 181 /* 182 Creates the private data structure for this preconditioner and 183 attach it to the PC object. 184 */ 185 ierr = PetscNewLog(pc,&rowscaling);CHKERRQ(ierr); 186 pc->data = (void*)rowscaling; 187 188 /* 189 Initialize the pointer to zero 190 Initialize number of v-cycles to default (1) 191 */ 192 rowscaling->ROWSCALINGVIENNACL = 0; 193 194 /* 195 Set the pointers for the functions that are provided above. 196 Now when the user-level routines (such as PCApply(), PCDestroy(), etc.) 197 are called, they will automatically call these functions. Note we 198 choose not to provide a couple of these functions since they are 199 not needed. 200 */ 201 pc->ops->apply = PCApply_ROWSCALINGVIENNACL; 202 pc->ops->applytranspose = 0; 203 pc->ops->setup = PCSetUp_ROWSCALINGVIENNACL; 204 pc->ops->destroy = PCDestroy_ROWSCALINGVIENNACL; 205 pc->ops->setfromoptions = PCSetFromOptions_ROWSCALINGVIENNACL; 206 pc->ops->view = 0; 207 pc->ops->applyrichardson = 0; 208 pc->ops->applysymmetricleft = 0; 209 pc->ops->applysymmetricright = 0; 210 PetscFunctionReturn(0); 211 } 212 213