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prometeo_metric.cu
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prometeo_metric.cu
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// Copyright (c) "2019, by Stanford University
// Developer: Mario Di Renzo
// Affiliation: Center for Turbulence Research, Stanford University
// URL: https://ctr.stanford.edu
// Citation: Di Renzo, M., Lin, F., and Urzay, J. (2020).
// HTR solver: An open-source exascale-oriented task-based
// multi-GPU high-order code for hypersonic aerothermodynamics.
// Computer Physics Communications 255, 107262"
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are met:
// * Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
// * Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
// ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
// WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
// DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER BE LIABLE FOR ANY
// DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
// (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
// LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
// ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include "prometeo_metric.hpp"
#include "cuda_utils.hpp"
//-----------------------------------------------------------------------------
// KERNELS FOR InitializeMetricTask
//-----------------------------------------------------------------------------
template<direction dir>
__global__
void ComputeMetrics_kernel(const AccessorWO<double, 3> m_e,
const AccessorWO<double, 3> m_d,
const AccessorWO<double, 3> m_s,
const AccessorRO< Vec3, 3> centerCoordinates,
const AccessorRO< int, 3> nType,
const Rect<3> my_bounds,
const Rect<3> Fluid_bounds,
const double width,
const coord_t size_x,
const coord_t size_y,
const coord_t size_z)
{
int x = blockIdx.x * blockDim.x + threadIdx.x;
int y = blockIdx.y * blockDim.y + threadIdx.y;
int z = blockIdx.z * blockDim.z + threadIdx.z;
if (isThreadInCrossPlane<dir>(size_x, size_y, size_z)) {
const coord_t size = getSize<dir>(Fluid_bounds);
const coord_t span_size = getSize<dir>(my_bounds);
const coord_t firstIndex = firstIndexInSpan<dir>(span_size);
if (firstIndex < span_size) {
const coord_t lastIndex = lastIndexInSpan<dir>(span_size);
double coordM_e; double coordP_e;
// Reconstruct the coordinate at -1/2 of the first point
{
const Point<3> p = GetPointInSpan<dir>(my_bounds, firstIndex, x, y, z);
const Point<3> pm1 = warpPeriodic<dir, Minus>(Fluid_bounds, p, size, offM1(nType[p]));
coordM_e = InitializeMetricTask::reconstructCoordEuler<dir>(centerCoordinates, pm1, width,
nType[pm1], size, Fluid_bounds);
coordM_e = unwarpCoordinate<dir>(coordM_e, width, -1, p, Fluid_bounds);
}
// Loop across my section of the span
for (coord_t i = firstIndex; i < lastIndex; i++) {
const Point<3> p = GetPointInSpan<dir>(my_bounds, i, x, y, z);
coordP_e = InitializeMetricTask::reconstructCoordEuler<dir>(centerCoordinates, p, width,
nType[p], size, Fluid_bounds);
// Compute the metrics
m_e[p] = 1.0/(coordP_e - coordM_e);
InitializeMetricTask::ComputeDiffusionMetrics<dir>(m_d, m_s, centerCoordinates, p,
width, nType[p], size, Fluid_bounds);
// Store plus values for next point
coordM_e = coordP_e;
}
}
}
}
__host__
void InitializeMetricTask::gpu_base_impl(
const Args &args,
const std::vector<PhysicalRegion> ®ions,
const std::vector<Future> &futures,
Context ctx, Runtime *runtime)
{
assert(regions.size() == 2);
assert(futures.size() == 0);
// Accessors for variables in the Ghost regions
const AccessorRO< Vec3, 3> acc_centerCoordinates(regions[0], FID_centerCoordinates);
const AccessorRO< int, 3> acc_nType_x (regions[0], FID_nType_x);
const AccessorRO< int, 3> acc_nType_y (regions[0], FID_nType_y);
const AccessorRO< int, 3> acc_nType_z (regions[0], FID_nType_z);
// Accessors for metrics
const AccessorWO<double, 3> acc_dcsi_e(regions[1], FID_dcsi_e);
const AccessorWO<double, 3> acc_deta_e(regions[1], FID_deta_e);
const AccessorWO<double, 3> acc_dzet_e(regions[1], FID_dzet_e);
const AccessorWO<double, 3> acc_dcsi_d(regions[1], FID_dcsi_d);
const AccessorWO<double, 3> acc_deta_d(regions[1], FID_deta_d);
const AccessorWO<double, 3> acc_dzet_d(regions[1], FID_dzet_d);
const AccessorWO<double, 3> acc_dcsi_s(regions[1], FID_dcsi_s);
const AccessorWO<double, 3> acc_deta_s(regions[1], FID_deta_s);
const AccessorWO<double, 3> acc_dzet_s(regions[1], FID_dzet_s);
// Extract execution domains
Rect<3> r_MyFluid = runtime->get_index_space_domain(ctx, regions[1].get_logical_region().get_index_space());
Rect<3> Fluid_bounds = args.Fluid_bounds;
// Determine the grid width from bounding box
const double xWidth = args.bBox.v1[0] - args.bBox.v0[0];
const double yWidth = args.bBox.v3[1] - args.bBox.v0[1];
const double zWidth = args.bBox.v4[2] - args.bBox.v0[2];
const int threads_per_block = 256;
// Create one stream for each direction
cudaStream_t Xstream;
cudaStream_t Ystream;
cudaStream_t Zstream;
cudaStreamCreateWithFlags(&Xstream, cudaStreamNonBlocking);
cudaStreamCreateWithFlags(&Ystream, cudaStreamNonBlocking);
cudaStreamCreateWithFlags(&Zstream, cudaStreamNonBlocking);
// X direction
{
// Launch the kernel that computes the metric
const dim3 TPB_3d = splitThreadsPerBlockSpan<Xdir>(threads_per_block, r_MyFluid);
const dim3 num_blocks_3d = numBlocksSpan<Xdir>(TPB_3d, r_MyFluid);
ComputeMetrics_kernel<Xdir><<<num_blocks_3d, TPB_3d, 0, Xstream>>>(
acc_dcsi_e, acc_dcsi_d, acc_dcsi_s,
acc_centerCoordinates, acc_nType_x,
r_MyFluid, Fluid_bounds, xWidth,
getSize<Xdir>(r_MyFluid), getSize<Ydir>(r_MyFluid), getSize<Zdir>(r_MyFluid));
}
// Y direction
{
// Launch the kernel that computes the metric
const dim3 TPB_3d = splitThreadsPerBlockSpan<Ydir>(threads_per_block, r_MyFluid);
const dim3 num_blocks_3d = numBlocksSpan<Ydir>(TPB_3d, r_MyFluid);
ComputeMetrics_kernel<Ydir><<<num_blocks_3d, TPB_3d, 0, Ystream>>>(
acc_deta_e, acc_deta_d, acc_deta_s,
acc_centerCoordinates, acc_nType_y,
r_MyFluid, Fluid_bounds, yWidth,
getSize<Xdir>(r_MyFluid), getSize<Ydir>(r_MyFluid), getSize<Zdir>(r_MyFluid));
}
// Z direction
{
// Launch the kernel that computes the metric
const dim3 TPB_3d = splitThreadsPerBlockSpan<Zdir>(threads_per_block, r_MyFluid);
const dim3 num_blocks_3d = numBlocksSpan<Zdir>(TPB_3d, r_MyFluid);
ComputeMetrics_kernel<Zdir><<<num_blocks_3d, TPB_3d, 0, Zstream>>>(
acc_dzet_e, acc_dzet_d, acc_dzet_s,
acc_centerCoordinates, acc_nType_z,
r_MyFluid, Fluid_bounds, zWidth,
getSize<Xdir>(r_MyFluid), getSize<Ydir>(r_MyFluid), getSize<Zdir>(r_MyFluid));
}
// Cleanup the streams
cudaStreamDestroy(Xstream);
cudaStreamDestroy(Ystream);
cudaStreamDestroy(Zstream);
}
//-----------------------------------------------------------------------------
// KERNELS FOR CorrectGhostMetric
//-----------------------------------------------------------------------------
template<direction dir>
__global__
void CorrectGhostMetric_kernel(const AccessorRO< Vec3, 3> centerCoordinates,
const AccessorRO< int, 3> nType,
const AccessorRW<double, 3> metric,
const Rect<3> Fluid_bounds,
const coord_t size_x,
const coord_t size_y,
const coord_t size_z)
{
int x = blockIdx.x * blockDim.x + threadIdx.x;
int y = blockIdx.y * blockDim.y + threadIdx.y;
int z = blockIdx.z * blockDim.z + threadIdx.z;
if ((x < size_x) && (y < size_y) && (z < size_z)) {
const Point<3> p = Point<3>(x + Fluid_bounds.lo.x,
y + Fluid_bounds.lo.y,
z + Fluid_bounds.lo.z);
if (nType[p] == L_S_node) CorrectGhostMetricTask<dir>::CorrectLeftStaggered( metric, centerCoordinates, p);
else if (nType[p] == L_C_node) CorrectGhostMetricTask<dir>::CorrectLeftCollocated( metric, centerCoordinates, p);
else if (nType[p] == R_S_node) CorrectGhostMetricTask<dir>::CorrectRightStaggered( metric, centerCoordinates, p);
else if (nType[p] == R_C_node) CorrectGhostMetricTask<dir>::CorrectRightCollocated(metric, centerCoordinates, p);
}
}
template<direction dir>
__host__
void CorrectGhostMetricTask<dir>::gpu_base_impl(
const Args &args,
const std::vector<PhysicalRegion> ®ions,
const std::vector<Future> &futures,
Context ctx, Runtime *runtime)
{
assert(regions.size() == 2);
assert(futures.size() == 0);
// Accessors for variables in the Ghost regions
const AccessorRO< Vec3, 3> acc_centerCoordinates(regions[0], FID_centerCoordinates);
const AccessorRO< int, 3> acc_nType (regions[0], FID_nType);
// Accessors for metrics
const AccessorRW<double, 3> acc_m (regions[1], FID_m);
// Extract execution domains
Rect<3> r_MyFluid = runtime->get_index_space_domain(ctx, regions[1].get_logical_region().get_index_space());
// Launch the kernel to update the ghost metric
const int threads_per_block = 256;
const dim3 TPB_3d = splitThreadsPerBlock<dir>(threads_per_block, r_MyFluid);
const dim3 num_blocks_3d = dim3((getSize<Xdir>(r_MyFluid) + (TPB_3d.x - 1)) / TPB_3d.x,
(getSize<Ydir>(r_MyFluid) + (TPB_3d.y - 1)) / TPB_3d.y,
(getSize<Zdir>(r_MyFluid) + (TPB_3d.z - 1)) / TPB_3d.z);
CorrectGhostMetric_kernel<dir><<<num_blocks_3d, TPB_3d>>>(
acc_centerCoordinates, acc_nType, acc_m,
r_MyFluid, getSize<Xdir>(r_MyFluid), getSize<Ydir>(r_MyFluid), getSize<Zdir>(r_MyFluid));
}
template void CorrectGhostMetricTask<Xdir>::gpu_base_impl(
const Args &args,
const std::vector<PhysicalRegion> ®ions,
const std::vector<Future> &futures,
Context ctx, Runtime *runtime);
template void CorrectGhostMetricTask<Ydir>::gpu_base_impl(
const Args &args,
const std::vector<PhysicalRegion> ®ions,
const std::vector<Future> &futures,
Context ctx, Runtime *runtime);
template void CorrectGhostMetricTask<Zdir>::gpu_base_impl(
const Args &args,
const std::vector<PhysicalRegion> ®ions,
const std::vector<Future> &futures,
Context ctx, Runtime *runtime);