initial commit

main
Antonio De Lucreziis 11 months ago
commit 5461990d0a

6
.gitignore vendored

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# Local files
.env
*.local*
# Binaries
build/

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{
"clangd.arguments": ["-background-index", "-compile-commands-dir=build"]
}

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cmake_minimum_required(VERSION 3.5.0)
set(CMAKE_INSTALL_RPATH_USE_LINK_PATH TRUE)
# set root of location to find PETSc's pkg-config
set(PETSC $ENV{PETSC_DIR}/$ENV{PETSC_ARCH})
set(ENV{PKG_CONFIG_PATH} ${PETSC}/lib/pkgconfig)
# Remove the lines below if you do not wish to have PETSc determine the compilers
execute_process ( COMMAND pkg-config PETSc --variable=ccompiler COMMAND tr -d '\n' OUTPUT_VARIABLE C_COMPILER)
SET(CMAKE_C_COMPILER ${C_COMPILER})
execute_process ( COMMAND pkg-config PETSc --variable=cxxcompiler COMMAND tr -d '\n' OUTPUT_VARIABLE CXX_COMPILER)
if (CXX_COMPILER)
SET(CMAKE_CXX_COMPILER ${CXX_COMPILER})
endif (CXX_COMPILER)
execute_process ( COMMAND pkg-config PETSc --variable=fcompiler COMMAND tr -d '\n' OUTPUT_VARIABLE FORTRAN_COMPILER)
if (FORTRAN_COMPILER)
SET(CMAKE_Fortran_COMPILER ${FORTRAN_COMPILER})
enable_language(Fortran)
endif (FORTRAN_COMPILER)
# tells CMake to build the application ex1 from the source file ex1.c
# this must appear AFTER the compilers are set
project(main)
add_executable(main main.c)
find_package(PkgConfig REQUIRED)
pkg_search_module(PETSC REQUIRED IMPORTED_TARGET PETSc)
target_link_libraries(main PkgConfig::PETSC)

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# Progetto di Calcolo Scientifico
```bash shell
# Create a build directory
$ mkdir build
$ cd build
# Build, Compile, Run
$ cmake -DCMAKE_EXPORT_COMPILE_COMMANDS=ON
$ make
$ mpirun ./main
# Or inline for development
$ cmake -DCMAKE_EXPORT_COMPILE_COMMANDS=ON .. && make && mpirun ./main
```
## VSCode
Install the `clangd` extension and put the following in `.vscode/settings.json`
```json
{
"clangd.arguments": [
"-background-index",
"-compile-commands-dir=build"
]
}
```

173
main.c

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/*
Laplacian in 3D. Modeled by the partial differential equation
- Laplacian u = 1,0 < x,y,z < 1,
with boundary conditions
u = 1 for x = 0, x = 1, y = 0, y = 1, z = 0, z = 1.
This uses multigrid to solve the linear system
See src/snes/tutorials/ex50.c
Can also be run with -pc_type exotic -ksp_type fgmres
*/
static char help[] = "Solves 3D Laplacian using multigrid.\n\n";
#include <petscdm.h>
#include <petscdmda.h>
#include <petscksp.h>
extern PetscErrorCode ComputeMatrix(KSP, Mat, Mat, void *);
extern PetscErrorCode ComputeRHS(KSP, Vec, void *);
extern PetscErrorCode ComputeInitialGuess(KSP, Vec, void *);
int main(int argc, char **argv) {
KSP ksp;
PetscReal norm;
DM da;
Vec x, b, r;
Mat A;
PetscFunctionBeginUser;
PetscCall(PetscInitialize(&argc, &argv, (char *)0, help));
PetscCall(KSPCreate(PETSC_COMM_WORLD, &ksp));
PetscCall(DMDACreate3d(PETSC_COMM_WORLD, DM_BOUNDARY_NONE, DM_BOUNDARY_NONE,
DM_BOUNDARY_NONE, DMDA_STENCIL_STAR, 7, 7, 7,
PETSC_DECIDE, PETSC_DECIDE, PETSC_DECIDE, 1, 1, 0, 0,
0, &da));
PetscCall(DMSetFromOptions(da));
PetscCall(DMSetUp(da));
PetscCall(KSPSetDM(ksp, da));
PetscCall(KSPSetComputeInitialGuess(ksp, ComputeInitialGuess, NULL));
PetscCall(KSPSetComputeRHS(ksp, ComputeRHS, NULL));
PetscCall(KSPSetComputeOperators(ksp, ComputeMatrix, NULL));
PetscCall(DMDestroy(&da));
PetscCall(KSPSetFromOptions(ksp));
PetscCall(KSPSolve(ksp, NULL, NULL));
PetscCall(KSPGetSolution(ksp, &x));
PetscCall(KSPGetRhs(ksp, &b));
PetscCall(VecDuplicate(b, &r));
PetscCall(KSPGetOperators(ksp, &A, NULL));
PetscCall(MatMult(A, x, r));
PetscCall(VecAXPY(r, -1.0, b));
PetscCall(VecNorm(r, NORM_2, &norm));
PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Residual norm %g\n", (double)norm));
PetscCall(VecDestroy(&r));
PetscCall(KSPDestroy(&ksp));
PetscCall(PetscFinalize());
return 0;
}
PetscErrorCode ComputeRHS(KSP ksp, Vec b, void *ctx) {
PetscInt i, j, k, mx, my, mz, xm, ym, zm, xs, ys, zs;
DM dm;
PetscScalar Hx, Hy, Hz, HxHydHz, HyHzdHx, HxHzdHy;
PetscScalar ***barray;
PetscFunctionBeginUser;
PetscCall(KSPGetDM(ksp, &dm));
PetscCall(DMDAGetInfo(dm, 0, &mx, &my, &mz, 0, 0, 0, 0, 0, 0, 0, 0, 0));
Hx = 1.0 / (PetscReal)(mx - 1);
Hy = 1.0 / (PetscReal)(my - 1);
Hz = 1.0 / (PetscReal)(mz - 1);
HxHydHz = Hx * Hy / Hz;
HxHzdHy = Hx * Hz / Hy;
HyHzdHx = Hy * Hz / Hx;
PetscCall(DMDAGetCorners(dm, &xs, &ys, &zs, &xm, &ym, &zm));
PetscCall(DMDAVecGetArray(dm, b, &barray));
for (k = zs; k < zs + zm; k++) {
for (j = ys; j < ys + ym; j++) {
for (i = xs; i < xs + xm; i++) {
if (i == 0 || j == 0 || k == 0 || i == mx - 1 || j == my - 1 ||
k == mz - 1) {
barray[k][j][i] = 2.0 * (HxHydHz + HxHzdHy + HyHzdHx);
} else {
barray[k][j][i] = Hx * Hy * Hz;
}
}
}
}
PetscCall(DMDAVecRestoreArray(dm, b, &barray));
PetscFunctionReturn(PETSC_SUCCESS);
}
PetscErrorCode ComputeInitialGuess(KSP ksp, Vec b, void *ctx) {
PetscFunctionBeginUser;
PetscCall(VecSet(b, 0));
PetscFunctionReturn(PETSC_SUCCESS);
}
PetscErrorCode ComputeMatrix(KSP ksp, Mat jac, Mat B, void *ctx) {
DM da;
PetscInt i, j, k, mx, my, mz, xm, ym, zm, xs, ys, zs;
PetscScalar v[7], Hx, Hy, Hz, HxHydHz, HyHzdHx, HxHzdHy;
MatStencil row, col[7];
PetscFunctionBeginUser;
PetscCall(KSPGetDM(ksp, &da));
PetscCall(DMDAGetInfo(da, 0, &mx, &my, &mz, 0, 0, 0, 0, 0, 0, 0, 0, 0));
Hx = 1.0 / (PetscReal)(mx - 1);
Hy = 1.0 / (PetscReal)(my - 1);
Hz = 1.0 / (PetscReal)(mz - 1);
HxHydHz = Hx * Hy / Hz;
HxHzdHy = Hx * Hz / Hy;
HyHzdHx = Hy * Hz / Hx;
PetscCall(DMDAGetCorners(da, &xs, &ys, &zs, &xm, &ym, &zm));
for (k = zs; k < zs + zm; k++) {
for (j = ys; j < ys + ym; j++) {
for (i = xs; i < xs + xm; i++) {
row.i = i;
row.j = j;
row.k = k;
if (i == 0 || j == 0 || k == 0 || i == mx - 1 || j == my - 1 ||
k == mz - 1) {
v[0] = 2.0 * (HxHydHz + HxHzdHy + HyHzdHx);
PetscCall(MatSetValuesStencil(B, 1, &row, 1, &row, v, INSERT_VALUES));
} else {
v[0] = -HxHydHz;
col[0].i = i;
col[0].j = j;
col[0].k = k - 1;
v[1] = -HxHzdHy;
col[1].i = i;
col[1].j = j - 1;
col[1].k = k;
v[2] = -HyHzdHx;
col[2].i = i - 1;
col[2].j = j;
col[2].k = k;
v[3] = 2.0 * (HxHydHz + HxHzdHy + HyHzdHx);
col[3].i = row.i;
col[3].j = row.j;
col[3].k = row.k;
v[4] = -HyHzdHx;
col[4].i = i + 1;
col[4].j = j;
col[4].k = k;
v[5] = -HxHzdHy;
col[5].i = i;
col[5].j = j + 1;
col[5].k = k;
v[6] = -HxHydHz;
col[6].i = i;
col[6].j = j;
col[6].k = k + 1;
PetscCall(MatSetValuesStencil(B, 1, &row, 7, col, v, INSERT_VALUES));
}
}
}
}
PetscCall(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY));
PetscCall(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY));
PetscFunctionReturn(PETSC_SUCCESS);
}
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