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/* Copyright 2020 Neil Zaim, Yinjian Zhao
*
* This file is part of WarpX.
*
* License: BSD-3-Clause-LBNL
*/
#include "FieldMaximum.H"
#include "Utils/CoarsenIO.H"
#include "Utils/TextMsg.H"
#include "WarpX.H"
#include <AMReX_Algorithm.H>
#include <AMReX_Array.H>
#include <AMReX_Array4.H>
#include <AMReX_Box.H>
#include <AMReX_Config.H>
#include <AMReX_FArrayBox.H>
#include <AMReX_FabArray.H>
#include <AMReX_GpuControl.H>
#include <AMReX_GpuQualifiers.H>
#include <AMReX_IndexType.H>
#include <AMReX_MFIter.H>
#include <AMReX_MultiFab.H>
#include <AMReX_ParallelDescriptor.H>
#include <AMReX_ParmParse.H>
#include <AMReX_REAL.H>
#include <AMReX_Reduce.H>
#include <AMReX_Tuple.H>
#include <AMReX_Vector.H>
#include <algorithm>
#include <cmath>
#include <cstdlib>
#include <ostream>
#include <vector>
using namespace amrex;
// constructor
FieldMaximum::FieldMaximum (std::string rd_name)
: ReducedDiags{rd_name}
{
// RZ coordinate is not working
#if (defined WARPX_DIM_RZ)
WARPX_ALWAYS_ASSERT_WITH_MESSAGE(false,
"FieldMaximum reduced diagnostics does not work for RZ coordinate.");
#endif
// read number of levels
int nLevel = 0;
ParmParse pp_amr("amr");
pp_amr.query("max_level", nLevel);
nLevel += 1;
constexpr int noutputs = 8; // max of Ex,Ey,Ez,|E|,Bx,By,Bz and |B|
// resize data array
m_data.resize(noutputs*nLevel, 0.0_rt);
if (ParallelDescriptor::IOProcessor())
{
if ( m_IsNotRestart )
{
// open file
std::ofstream ofs{m_path + m_rd_name + "." + m_extension, std::ofstream::out};
// write header row
int c = 0;
ofs << "#";
ofs << "[" << c++ << "]step()";
ofs << m_sep;
ofs << "[" << c++ << "]time(s)";
for (int lev = 0; lev < nLevel; ++lev)
{
ofs << m_sep;
ofs << "[" << c++ << "]max_Ex_lev" + std::to_string(lev) + " (V/m)";
ofs << m_sep;
ofs << "[" << c++ << "]max_Ey_lev" + std::to_string(lev) + " (V/m)";
ofs << m_sep;
ofs << "[" << c++ << "]max_Ez_lev" + std::to_string(lev) + " (V/m)";
ofs << m_sep;
ofs << "[" << c++ << "]max_|E|_lev" + std::to_string(lev) + " (V/m)";
ofs << m_sep;
ofs << "[" << c++ << "]max_Bx_lev" + std::to_string(lev) + " (T)";
ofs << m_sep;
ofs << "[" << c++ << "]max_By_lev" + std::to_string(lev) + " (T)";
ofs << m_sep;
ofs << "[" << c++ << "]max_Bz_lev" + std::to_string(lev) + " (T)";
ofs << m_sep;
ofs << "[" << c++ << "]max_|B|_lev" + std::to_string(lev) + " (T)";
}
ofs << std::endl;
// close file
ofs.close();
}
}
}
// end constructor
// function that computes maximum field values
void FieldMaximum::ComputeDiags (int step)
{
// Judge if the diags should be done
if (!m_intervals.contains(step+1)) { return; }
// get a reference to WarpX instance
auto & warpx = WarpX::GetInstance();
// get number of level
const auto nLevel = warpx.finestLevel() + 1;
// loop over refinement levels
for (int lev = 0; lev < nLevel; ++lev)
{
// get MultiFab data at lev
const MultiFab & Ex = warpx.getEfield(lev,0);
const MultiFab & Ey = warpx.getEfield(lev,1);
const MultiFab & Ez = warpx.getEfield(lev,2);
const MultiFab & Bx = warpx.getBfield(lev,0);
const MultiFab & By = warpx.getBfield(lev,1);
const MultiFab & Bz = warpx.getBfield(lev,2);
constexpr int noutputs = 8; // max of Ex,Ey,Ez,|E|,Bx,By,Bz and |B|
constexpr int index_Ex = 0;
constexpr int index_Ey = 1;
constexpr int index_Ez = 2;
constexpr int index_absE = 3;
constexpr int index_Bx = 4;
constexpr int index_By = 5;
constexpr int index_Bz = 6;
constexpr int index_absB = 7;
// General preparation of interpolation and reduction operations
const GpuArray<int,3> cellCenteredtype{0,0,0};
const GpuArray<int,3> reduction_coarsening_ratio{1,1,1};
constexpr int reduction_comp = 0;
ReduceOps<ReduceOpMax> reduceEx_op;
ReduceOps<ReduceOpMax> reduceEy_op;
ReduceOps<ReduceOpMax> reduceEz_op;
ReduceOps<ReduceOpMax> reduceBx_op;
ReduceOps<ReduceOpMax> reduceBy_op;
ReduceOps<ReduceOpMax> reduceBz_op;
ReduceOps<ReduceOpMax> reduceE_op;
ReduceOps<ReduceOpMax> reduceB_op;
ReduceData<Real> reduceEx_data(reduceEx_op);
ReduceData<Real> reduceEy_data(reduceEy_op);
ReduceData<Real> reduceEz_data(reduceEz_op);
ReduceData<Real> reduceBx_data(reduceBx_op);
ReduceData<Real> reduceBy_data(reduceBy_op);
ReduceData<Real> reduceBz_data(reduceBz_op);
ReduceData<Real> reduceE_data(reduceE_op);
ReduceData<Real> reduceB_data(reduceB_op);
using ReduceTuple = typename decltype(reduceEx_data)::Type;
// Prepare interpolation of field components to cell center
// The arrays below store the index type (staggering) of each MultiFab, with the third
// component set to zero in the two-dimensional case.
auto Extype = amrex::GpuArray<int,3>{0,0,0};
auto Eytype = amrex::GpuArray<int,3>{0,0,0};
auto Eztype = amrex::GpuArray<int,3>{0,0,0};
auto Bxtype = amrex::GpuArray<int,3>{0,0,0};
auto Bytype = amrex::GpuArray<int,3>{0,0,0};
auto Bztype = amrex::GpuArray<int,3>{0,0,0};
for (int i = 0; i < AMREX_SPACEDIM; ++i){
Extype[i] = Ex.ixType()[i];
Eytype[i] = Ey.ixType()[i];
Eztype[i] = Ez.ixType()[i];
Bxtype[i] = Bx.ixType()[i];
Bytype[i] = By.ixType()[i];
Bztype[i] = Bz.ixType()[i];
}
// MFIter loop to interpolate fields to cell center and get maximum values
#ifdef AMREX_USE_OMP
#pragma omp parallel if (amrex::Gpu::notInLaunchRegion())
#endif
for ( MFIter mfi(Ex, TilingIfNotGPU()); mfi.isValid(); ++mfi )
{
// Make the box cell centered in preparation for the interpolation (and to avoid
// including ghost cells in the calculation)
const Box& box = enclosedCells(mfi.nodaltilebox());
const auto& arrEx = Ex[mfi].array();
const auto& arrEy = Ey[mfi].array();
const auto& arrEz = Ez[mfi].array();
const auto& arrBx = Bx[mfi].array();
const auto& arrBy = By[mfi].array();
const auto& arrBz = Bz[mfi].array();
reduceEx_op.eval(box, reduceEx_data,
[=] AMREX_GPU_DEVICE (int i, int j, int k) -> ReduceTuple
{
const Real Ex_interp = CoarsenIO::Interp(arrEx, Extype, cellCenteredtype,
reduction_coarsening_ratio, i, j, k, reduction_comp);
return amrex::Math::abs(Ex_interp);
});
reduceEy_op.eval(box, reduceEy_data,
[=] AMREX_GPU_DEVICE (int i, int j, int k) -> ReduceTuple
{
const Real Ey_interp = CoarsenIO::Interp(arrEy, Eytype, cellCenteredtype,
reduction_coarsening_ratio, i, j, k, reduction_comp);
return amrex::Math::abs(Ey_interp);
});
reduceEz_op.eval(box, reduceEz_data,
[=] AMREX_GPU_DEVICE (int i, int j, int k) -> ReduceTuple
{
const Real Ez_interp = CoarsenIO::Interp(arrEz, Eztype, cellCenteredtype,
reduction_coarsening_ratio, i, j, k, reduction_comp);
return amrex::Math::abs(Ez_interp);
});
reduceBx_op.eval(box, reduceBx_data,
[=] AMREX_GPU_DEVICE (int i, int j, int k) -> ReduceTuple
{
const Real Bx_interp = CoarsenIO::Interp(arrBx, Bxtype, cellCenteredtype,
reduction_coarsening_ratio, i, j, k, reduction_comp);
return amrex::Math::abs(Bx_interp);
});
reduceBy_op.eval(box, reduceBy_data,
[=] AMREX_GPU_DEVICE (int i, int j, int k) -> ReduceTuple
{
const Real By_interp = CoarsenIO::Interp(arrBy, Bytype, cellCenteredtype,
reduction_coarsening_ratio, i, j, k, reduction_comp);
return amrex::Math::abs(By_interp);
});
reduceBz_op.eval(box, reduceBz_data,
[=] AMREX_GPU_DEVICE (int i, int j, int k) -> ReduceTuple
{
const Real Bz_interp = CoarsenIO::Interp(arrBz, Bztype, cellCenteredtype,
reduction_coarsening_ratio, i, j, k, reduction_comp);
return amrex::Math::abs(Bz_interp);
});
reduceE_op.eval(box, reduceE_data,
[=] AMREX_GPU_DEVICE (int i, int j, int k) -> ReduceTuple
{
const Real Ex_interp = CoarsenIO::Interp(arrEx, Extype, cellCenteredtype,
reduction_coarsening_ratio, i, j, k, reduction_comp);
const Real Ey_interp = CoarsenIO::Interp(arrEy, Eytype, cellCenteredtype,
reduction_coarsening_ratio, i, j, k, reduction_comp);
const Real Ez_interp = CoarsenIO::Interp(arrEz, Eztype, cellCenteredtype,
reduction_coarsening_ratio, i, j, k, reduction_comp);
return Ex_interp*Ex_interp + Ey_interp*Ey_interp + Ez_interp*Ez_interp;
});
reduceB_op.eval(box, reduceB_data,
[=] AMREX_GPU_DEVICE (int i, int j, int k) -> ReduceTuple
{
const Real Bx_interp = CoarsenIO::Interp(arrBx, Bxtype, cellCenteredtype,
reduction_coarsening_ratio, i, j, k, reduction_comp);
const Real By_interp = CoarsenIO::Interp(arrBy, Bytype, cellCenteredtype,
reduction_coarsening_ratio, i, j, k, reduction_comp);
const Real Bz_interp = CoarsenIO::Interp(arrBz, Bztype, cellCenteredtype,
reduction_coarsening_ratio, i, j, k, reduction_comp);
return Bx_interp*Bx_interp + By_interp*By_interp + Bz_interp*Bz_interp;
});
}
Real hv_Ex = amrex::get<0>(reduceEx_data.value()); // highest value of |Ex|
Real hv_Ey = amrex::get<0>(reduceEy_data.value()); // highest value of |Ey|
Real hv_Ez = amrex::get<0>(reduceEz_data.value()); // highest value of |Ez|
Real hv_Bx = amrex::get<0>(reduceBx_data.value()); // highest value of |Bx|
Real hv_By = amrex::get<0>(reduceBy_data.value()); // highest value of |By|
Real hv_Bz = amrex::get<0>(reduceBz_data.value()); // highest value of |Bz|
Real hv_E = amrex::get<0>(reduceE_data.value()); // highest value of |E|**2
Real hv_B = amrex::get<0>(reduceB_data.value()); // highest value of |B|**2
// MPI reduce
ParallelDescriptor::ReduceRealMax(hv_Ex);
ParallelDescriptor::ReduceRealMax(hv_Ey);
ParallelDescriptor::ReduceRealMax(hv_Ez);
ParallelDescriptor::ReduceRealMax(hv_Bx);
ParallelDescriptor::ReduceRealMax(hv_By);
ParallelDescriptor::ReduceRealMax(hv_Bz);
ParallelDescriptor::ReduceRealMax(hv_E);
ParallelDescriptor::ReduceRealMax(hv_B);
// Fill output array
m_data[lev*noutputs+index_Ex] = hv_Ex;
m_data[lev*noutputs+index_Ey] = hv_Ey;
m_data[lev*noutputs+index_Ez] = hv_Ez;
m_data[lev*noutputs+index_Bx] = hv_Bx;
m_data[lev*noutputs+index_By] = hv_By;
m_data[lev*noutputs+index_Bz] = hv_Bz;
m_data[lev*noutputs+index_absE] = std::sqrt(hv_E);
m_data[lev*noutputs+index_absB] = std::sqrt(hv_B);
}
// end loop over refinement levels
/* m_data now contains up-to-date values for:
* [max(Ex),max(Ey),max(Ez),max(|E|),
* max(Bx),max(By),max(Bz),max(|B|)] */
}
// end void FieldMaximum::ComputeDiags
|
