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authorAdrian Kummerlaender2020-01-17 21:07:49 +0100
committerAdrian Kummerlaender2020-01-17 21:07:49 +0100
commit682c46c7932f6dfe8d3874bd54e412162a81d216 (patch)
tree239c6f37cbc0db8cb17c5690dd0c996f22514f86
parentdbe19deb0d42ee7c2359d951686c6100d4ec27b3 (diff)
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Integrate AA in CUDA exampleHEADmaster
-rw-r--r--boltzgen.nix2
-rw-r--r--lid_driven_cavity/cuda/CMakeLists.txt1
-rw-r--r--lid_driven_cavity/cuda/ldc.cuda.AA.mako249
3 files changed, 251 insertions, 1 deletions
diff --git a/boltzgen.nix b/boltzgen.nix
index dcbc7e0..2ec778b 100644
--- a/boltzgen.nix
+++ b/boltzgen.nix
@@ -7,7 +7,7 @@ let in {
src = builtins.fetchGit {
url = "https://code.kummerlaender.eu/boltzgen/";
- rev = "b5a24f31871d900342a3c47398cc75e22bad0b6f";
+ rev = "25c210daa7c45d937bcc336ca887bfba71000a23";
};
propagatedBuildInputs = with pkgs.python37Packages; [
diff --git a/lid_driven_cavity/cuda/CMakeLists.txt b/lid_driven_cavity/cuda/CMakeLists.txt
index 7c920f2..fba2047 100644
--- a/lid_driven_cavity/cuda/CMakeLists.txt
+++ b/lid_driven_cavity/cuda/CMakeLists.txt
@@ -17,6 +17,7 @@ add_custom_command(
DEPENDS
generate.py
config.py
+ ldc.cuda.AA.mako
ldc.cuda.SSS.mako
)
diff --git a/lid_driven_cavity/cuda/ldc.cuda.AA.mako b/lid_driven_cavity/cuda/ldc.cuda.AA.mako
new file mode 100644
index 0000000..390d546
--- /dev/null
+++ b/lid_driven_cavity/cuda/ldc.cuda.AA.mako
@@ -0,0 +1,249 @@
+#include <cstdint>
+#include <memory>
+#include <vector>
+#include <chrono>
+#include <iostream>
+#include <fstream>
+#include <algorithm>
+
+#include "kernel.h"
+
+void write_moments_to_vtk(const std::string& path, ${float_type}* rho, ${float_type}* u) {
+ std::ofstream fout;
+ fout.open(path.c_str());
+
+ fout << "# vtk DataFile Version 3.0\n";
+ fout << "lbm_output\n";
+ fout << "ASCII\n";
+ fout << "DATASET RECTILINEAR_GRID\n";
+% if descriptor.d == 2:
+ fout << "DIMENSIONS " << ${geometry.size_x-2} << " " << ${geometry.size_y-2} << " 1" << "\n";
+% else:
+ fout << "DIMENSIONS " << ${geometry.size_x-2} << " " << ${geometry.size_y-2} << " " << ${geometry.size_z-2} << "\n";
+% endif
+
+ fout << "X_COORDINATES " << ${geometry.size_x-2} << " float\n";
+ for( std::size_t x = 1; x < ${geometry.size_x-1}; ++x ) {
+ fout << x << " ";
+ }
+
+ fout << "\nY_COORDINATES " << ${geometry.size_y-2} << " float\n";
+ for( std::size_t y = 1; y < ${geometry.size_y-1}; ++y ) {
+ fout << y << " ";
+ }
+
+% if descriptor.d == 2:
+ fout << "\nZ_COORDINATES " << 1 << " float\n";
+ fout << 0 << "\n";
+ fout << "POINT_DATA " << ${(geometry.size_x-2) * (geometry.size_y-2)} << "\n";
+% else:
+ fout << "\nZ_COORDINATES " << ${geometry.size_z-2} << " float\n";
+ for( std::size_t z = 1; z < ${geometry.size_z-1}; ++z ) {
+ fout << z << " ";
+ }
+ fout << "\nPOINT_DATA " << ${(geometry.size_x-2) * (geometry.size_y-2) * (geometry.size_z-2)} << "\n";
+% endif
+
+ fout << "VECTORS velocity float\n";
+% if descriptor.d == 2:
+ for ( std::size_t y = 1; y < ${geometry.size_y-1}; ++y ) {
+ for ( std::size_t x = 1; x < ${geometry.size_x-1}; ++x ) {
+ const std::size_t iCell = ${index.gid('x','y')};
+ fout << u[iCell*${descriptor.d}+0] << " " << u[iCell*${descriptor.d}+1] << " 0\n";
+ }
+ }
+% else:
+ for ( std::size_t z = 1; z < ${geometry.size_z-1}; ++z ) {
+ for ( std::size_t y = 1; y < ${geometry.size_y-1}; ++y ) {
+ for ( std::size_t x = 1; x < ${geometry.size_x-1}; ++x ) {
+ const std::size_t iCell = ${index.gid('x','y','z')};
+ fout << u[iCell*${descriptor.d}+0] << " " << u[iCell*${descriptor.d}+1] << " " << u[iCell*${descriptor.d}+2] << "\n";
+ }
+ }
+ }
+% endif
+
+ fout << "SCALARS density float 1\n";
+ fout << "LOOKUP_TABLE default\n";
+% if descriptor.d == 2:
+ for ( std::size_t y = 1; y < ${geometry.size_y-1}; ++y ) {
+ for ( std::size_t x = 1; x < ${geometry.size_x-1}; ++x ) {
+ const std::size_t iCell = ${index.gid('x','y')};
+ fout << rho[iCell] << "\n";
+ }
+ }
+% else:
+ for ( std::size_t z = 1; z < ${geometry.size_z-1}; ++z ) {
+ for ( std::size_t y = 1; y < ${geometry.size_y-1}; ++y ) {
+ for ( std::size_t x = 1; x < ${geometry.size_x-1}; ++x ) {
+ const std::size_t iCell = ${index.gid('x','y','z')};
+ fout << rho[iCell] << "\n";
+ }
+ }
+ }
+% endif
+
+ fout.close();
+}
+
+void simulate(std::size_t nStep)
+{
+ ${float_type}* f;
+ cudaMalloc(&f, ${geometry.volume*descriptor.q}*sizeof(${float_type}));
+
+ ${float_type}* device_moments_rho;
+ cudaMalloc(&device_moments_rho, ${geometry.volume} * sizeof(${float_type}));
+ ${float_type}* device_moments_u;
+ cudaMalloc(&device_moments_u, ${geometry.volume*descriptor.d} * sizeof(${float_type}));
+
+ std::vector<${float_type}> moments_rho(${geometry.volume});
+ std::vector<${float_type}> moments_u(${geometry.volume*descriptor.d});
+
+ std::vector<std::size_t> ghost;
+ std::vector<std::size_t> bulk;
+ std::vector<std::size_t> lid_bc;
+ std::vector<std::size_t> box_bc;
+
+ for (int iX = 0; iX < ${geometry.size_x}; ++iX) {
+ for (int iY = 0; iY < ${geometry.size_y}; ++iY) {
+% if descriptor.d == 2:
+ const std::size_t iCell = ${index.gid('iX','iY')};
+ if (iX == 0 || iY == 0 || iX == ${geometry.size_x-1} || iY == ${geometry.size_y-1}) {
+ ghost.emplace_back(iCell);
+ } else if (iY == ${geometry.size_y-2}) {
+ lid_bc.emplace_back(iCell);
+ } else if (iX == 1 || iX == ${geometry.size_x-2} || iY == 1) {
+ box_bc.emplace_back(iCell);
+ } else {
+ bulk.emplace_back(iCell);
+ }
+% elif descriptor.d == 3:
+ for (int iZ = 0; iZ < ${geometry.size_z}; ++iZ) {
+ const std::size_t iCell = ${index.gid('iX','iY','iZ')};
+ if ( iX == 0 || iY == 0 || iZ == 0
+ || iX == ${geometry.size_x-1}
+ || iY == ${geometry.size_y-1}
+ || iZ == ${geometry.size_z-1}) {
+ ghost.emplace_back(iCell);
+ } else if (iZ == ${geometry.size_z-2}) {
+ lid_bc.emplace_back(iCell);
+ } else if ( iX == 1 || iX == ${geometry.size_x-2}
+ || iY == 1 || iY == ${geometry.size_y-2}
+ || iZ == 1) {
+ box_bc.emplace_back(iCell);
+ } else {
+ bulk.emplace_back(iCell);
+ }
+ }
+% endif
+ }
+ }
+
+ std::sort(ghost.begin(), ghost.end());
+ std::sort(bulk.begin(), bulk.end());
+ std::sort(lid_bc.begin(), lid_bc.end());
+ std::sort(box_bc.begin(), box_bc.end());
+
+ std::cout << "#ghost : " << ghost.size() << std::endl;
+ std::cout << "#bulk : " << bulk.size() << std::endl;
+ std::cout << "#lid : " << lid_bc.size() << std::endl;
+ std::cout << "#wall : " << box_bc.size() << std::endl;
+ std::cout << std::endl;
+
+ std::size_t* device_ghost_cells;
+ std::size_t* device_bulk_cells;
+ std::size_t* device_lid_bc_cells;
+ std::size_t* device_box_bc_cells;
+
+ cudaMalloc(&device_ghost_cells, ghost.size() * sizeof(std::size_t));
+ cudaMalloc(&device_bulk_cells, bulk.size() * sizeof(std::size_t));
+ cudaMalloc(&device_lid_bc_cells, lid_bc.size() * sizeof(std::size_t));
+ cudaMalloc(&device_box_bc_cells, box_bc.size() * sizeof(std::size_t));
+
+ cudaMemcpy(device_ghost_cells, ghost.data(), ghost.size() * sizeof(std::size_t), cudaMemcpyHostToDevice);
+ cudaMemcpy(device_bulk_cells, bulk.data(), bulk.size() * sizeof(std::size_t), cudaMemcpyHostToDevice);
+ cudaMemcpy(device_lid_bc_cells, lid_bc.data(), lid_bc.size()* sizeof(std::size_t), cudaMemcpyHostToDevice);
+ cudaMemcpy(device_box_bc_cells, box_bc.data(), box_bc.size()* sizeof(std::size_t), cudaMemcpyHostToDevice);
+
+ cudaDeviceSynchronize();
+
+ const std::size_t block_size = 32;
+ std::size_t block_count = 0;
+
+ block_count = (ghost.size() + block_size - 1) / block_size;
+ equilibrilize_tick<<<block_count,block_size>>>(f, device_ghost_cells, ghost.size());
+
+ block_count = (bulk.size() + block_size - 1) / block_size;
+ equilibrilize_tick<<<block_count,block_size>>>(f, device_bulk_cells, bulk.size());
+
+ block_count = (box_bc.size() + block_size - 1) / block_size;
+ equilibrilize_tick<<<block_count,block_size>>>(f, device_box_bc_cells, box_bc.size());
+
+ block_count = (lid_bc.size() + block_size - 1) / block_size;
+ equilibrilize_tick<<<block_count,block_size>>>(f, device_lid_bc_cells, lid_bc.size());
+
+ cudaDeviceSynchronize();
+
+ bool tick = false;
+
+ auto start = std::chrono::high_resolution_clock::now();
+
+ for (std::size_t iStep = 1; iStep <= nStep; ++iStep) {
+ tick = !tick;
+
+ if (!tick) {
+ block_count = (ghost.size() + block_size - 1) / block_size;
+ equilibrilize_tick<<<block_count,block_size>>>(f, device_ghost_cells, ghost.size());
+ }
+
+ block_count = (bulk.size() + block_size - 1) / block_size;
+ tick ? collide_and_stream_tick<<<block_count,block_size>>>(f, device_bulk_cells, bulk.size())
+ : collide_and_stream_tock<<<block_count,block_size>>>(f, device_bulk_cells, bulk.size());
+
+ block_count = (box_bc.size() + block_size - 1) / block_size;
+% if descriptor.d == 2:
+ tick ? velocity_momenta_boundary_tick<<<block_count,block_size>>>(f, device_box_bc_cells, box_bc.size(), 0.0, 0.0)
+ : velocity_momenta_boundary_tock<<<block_count,block_size>>>(f, device_box_bc_cells, box_bc.size(), 0.0, 0.0);
+% else:
+ tick ? velocity_momenta_boundary_tick<<<block_count,block_size>>>(f, device_box_bc_cells, box_bc.size(), 0.0, 0.0, 0.0)
+ : velocity_momenta_boundary_tock<<<block_count,block_size>>>(f, device_box_bc_cells, box_bc.size(), 0.0, 0.0, 0.0);
+% endif
+
+ block_count = (lid_bc.size() + block_size - 1) / block_size;
+% if descriptor.d == 2:
+ tick ? velocity_momenta_boundary_tick<<<block_count,block_size>>>(f, device_lid_bc_cells, lid_bc.size(), 0.05, 0.0)
+ : velocity_momenta_boundary_tock<<<block_count,block_size>>>(f, device_lid_bc_cells, lid_bc.size(), 0.05, 0.0);
+% else:
+ tick ? velocity_momenta_boundary_tick<<<block_count,block_size>>>(f, device_lid_bc_cells, lid_bc.size(), 0.05, 0.0, 0.0)
+ : velocity_momenta_boundary_tock<<<block_count,block_size>>>(f, device_lid_bc_cells, lid_bc.size(), 0.05, 0.0, 0.0);
+% endif
+
+ if (iStep % 1000 == 0) {
+ cudaDeviceSynchronize();
+
+ auto duration = std::chrono::duration_cast<std::chrono::duration<double>>(
+ std::chrono::high_resolution_clock::now() - start);
+ std::cout << "iStep = " << iStep << "; ~" << 1000*${geometry.volume}l/(1e6*duration.count()) << " MLUPS" << std::endl;
+
+ block_count = (bulk.size() + block_size - 1) / block_size;
+ collect_moments_tick<<<block_count,block_size>>>(f, device_bulk_cells, bulk.size(), device_moments_rho, device_moments_u);
+ cudaMemcpy(moments_rho.data(), device_moments_rho, ${geometry.volume}*sizeof(${float_type}), cudaMemcpyDeviceToHost);
+ cudaMemcpy(moments_u.data(), device_moments_u, ${geometry.volume*descriptor.d}*sizeof(${float_type}), cudaMemcpyDeviceToHost);
+ write_moments_to_vtk("result/ldc_" + std::to_string(iStep) + ".vtk", moments_rho.data(), moments_u.data());
+
+ start = std::chrono::high_resolution_clock::now();
+ }
+ }
+
+ cudaFree(device_ghost_cells);
+ cudaFree(device_bulk_cells);
+ cudaFree(device_lid_bc_cells);
+ cudaFree(device_box_bc_cells);
+ cudaFree(device_moments_rho);
+ cudaFree(device_moments_u);
+ cudaFree(f);
+}
+
+int main() {
+ simulate(20000);
+}