[WIP] Add CUDA support for Z4C

Rewritten done by Codex.
This still has errors, do not pick this one now.
This commit is contained in:
2026-04-27 08:27:24 +08:00
parent 60fee8f1c1
commit c689cc8dc9
6 changed files with 8282 additions and 73 deletions

View File

@@ -6,10 +6,20 @@
#include "parameters.h"
#include <cstdlib>
#include <cstdio>
#if USE_CUDA_BSSN
#ifndef USE_CUDA_Z4C
#define USE_CUDA_Z4C 0
#endif
#if USE_CUDA_BSSN || USE_CUDA_Z4C
#include <cuda_runtime_api.h>
#endif
#if USE_CUDA_BSSN
#include "bssn_rhs_cuda.h"
#endif
#if USE_CUDA_Z4C
#include "z4c_rhs_cuda.h"
#endif
namespace {
@@ -80,7 +90,7 @@ bool cuda_sync_pinned_enabled()
if (enabled < 0)
{
const char *env = getenv("AMSS_CUDA_PINNED_SYNC");
#if USE_CUDA_BSSN
#if USE_CUDA_BSSN || USE_CUDA_Z4C
enabled = (!env || atoi(env) != 0) ? 1 : 0;
#else
enabled = 0;
@@ -93,7 +103,7 @@ void free_comm_buffer(double *&ptr, unsigned char &is_pinned)
{
if (!ptr)
return;
#if USE_CUDA_BSSN
#if USE_CUDA_BSSN || USE_CUDA_Z4C
if (is_pinned)
cudaFreeHost(ptr);
else
@@ -110,7 +120,7 @@ double *alloc_comm_buffer(int length, unsigned char &is_pinned)
is_pinned = 0;
if (length <= 0)
return 0;
#if USE_CUDA_BSSN
#if USE_CUDA_BSSN || USE_CUDA_Z4C
if (cuda_sync_pinned_enabled())
{
double *ptr = 0;
@@ -157,19 +167,43 @@ int cuda_state_var_count(MyList<var> *src_vars, MyList<var> *dst_vars)
return (src_vars || dst_vars) ? -1 : count;
}
#if USE_CUDA_BSSN
#if USE_CUDA_BSSN || USE_CUDA_Z4C
bool cuda_state_count_direct_supported(int state_count)
{
#if USE_CUDA_Z4C && (ABEtype == 2)
return state_count == Z4C_CUDA_STATE_COUNT;
#elif USE_CUDA_BSSN
return state_count > 0 && state_count <= BSSN_CUDA_STATE_COUNT;
#else
(void)state_count;
return false;
#endif
}
bool cuda_can_direct_pack(const Parallel::gridseg *src, const Parallel::gridseg *dst, int type)
{
if (type != 1 || !src || !dst || !src->Bg)
return false;
#if USE_CUDA_Z4C && (ABEtype == 2)
return z4c_cuda_has_resident_state(src->Bg) != 0;
#elif USE_CUDA_BSSN
return bssn_cuda_has_resident_state(src->Bg) != 0;
#else
return false;
#endif
}
bool cuda_can_direct_unpack(const Parallel::gridseg *dst, int type)
{
if (type != 1 || !dst || !dst->Bg)
return false;
#if USE_CUDA_Z4C && (ABEtype == 2)
return z4c_cuda_has_resident_state(dst->Bg) != 0;
#elif USE_CUDA_BSSN
return bssn_cuda_has_resident_state(dst->Bg) != 0;
#else
return false;
#endif
}
bool cuda_direct_pack_segment(double *buffer,
@@ -177,15 +211,28 @@ bool cuda_direct_pack_segment(double *buffer,
const Parallel::gridseg *dst,
int state_count)
{
#if USE_CUDA_Z4C && (ABEtype == 2)
if (state_count != Z4C_CUDA_STATE_COUNT)
return false;
#elif USE_CUDA_BSSN
if (state_count <= 0 || state_count > BSSN_CUDA_STATE_COUNT)
return false;
#else
return false;
#endif
const double t0 = sync_profile_enabled() ? MPI_Wtime() : 0.0;
const int i0 = cuda_seg_begin(dst, src->Bg, 0);
const int j0 = cuda_seg_begin(dst, src->Bg, 1);
const int k0 = cuda_seg_begin(dst, src->Bg, 2);
#if USE_CUDA_Z4C && (ABEtype == 2)
const bool ok = z4c_cuda_pack_state_batch_to_host_buffer(src->Bg, state_count, buffer, src->Bg->shape,
i0, j0, k0,
dst->shape[0], dst->shape[1], dst->shape[2]) == 0;
#else
const bool ok = bssn_cuda_pack_state_batch_to_host_buffer(src->Bg, state_count, buffer, src->Bg->shape,
i0, j0, k0,
dst->shape[0], dst->shape[1], dst->shape[2]) == 0;
#endif
if (sync_profile_enabled())
sync_profile_stats().direct_pack_sec += MPI_Wtime() - t0;
return ok;
@@ -195,15 +242,28 @@ bool cuda_direct_unpack_segment(double *buffer,
const Parallel::gridseg *dst,
int state_count)
{
#if USE_CUDA_Z4C && (ABEtype == 2)
if (state_count != Z4C_CUDA_STATE_COUNT)
return false;
#elif USE_CUDA_BSSN
if (state_count <= 0 || state_count > BSSN_CUDA_STATE_COUNT)
return false;
#else
return false;
#endif
const double t0 = sync_profile_enabled() ? MPI_Wtime() : 0.0;
const int i0 = cuda_seg_begin(dst, dst->Bg, 0);
const int j0 = cuda_seg_begin(dst, dst->Bg, 1);
const int k0 = cuda_seg_begin(dst, dst->Bg, 2);
#if USE_CUDA_Z4C && (ABEtype == 2)
const bool ok = z4c_cuda_unpack_state_batch_from_host_buffer(dst->Bg, state_count, buffer, dst->Bg->shape,
i0, j0, k0,
dst->shape[0], dst->shape[1], dst->shape[2]) == 0;
#else
const bool ok = bssn_cuda_unpack_state_batch_from_host_buffer(dst->Bg, state_count, buffer, dst->Bg->shape,
i0, j0, k0,
dst->shape[0], dst->shape[1], dst->shape[2]) == 0;
#endif
if (sync_profile_enabled())
sync_profile_stats().direct_unpack_sec += MPI_Wtime() - t0;
return ok;
@@ -3966,9 +4026,10 @@ int Parallel::data_packer(double *data, MyList<Parallel::gridseg> *src, MyList<P
{
if (data)
{
#if USE_CUDA_BSSN
#if USE_CUDA_BSSN || USE_CUDA_Z4C
bool handled_by_cuda = false;
if (dir == PACK && cuda_can_direct_pack(src->data, dst->data, type))
if (dir == PACK && cuda_state_count_direct_supported(state_count) &&
cuda_can_direct_pack(src->data, dst->data, type))
{
handled_by_cuda = cuda_direct_pack_segment(data + size_out, src->data, dst->data, state_count);
if (!handled_by_cuda)
@@ -3977,7 +4038,8 @@ int Parallel::data_packer(double *data, MyList<Parallel::gridseg> *src, MyList<P
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
else if (dir == UNPACK && cuda_can_direct_unpack(dst->data, type))
else if (dir == UNPACK && cuda_state_count_direct_supported(state_count) &&
cuda_can_direct_unpack(dst->data, type))
{
handled_by_cuda = cuda_direct_unpack_segment(data + size_out, dst->data, state_count);
if (!handled_by_cuda)
@@ -4012,7 +4074,7 @@ int Parallel::data_packer(double *data, MyList<Parallel::gridseg> *src, MyList<P
f_copy(DIM, dst->data->Bg->bbox, dst->data->Bg->bbox + dim, dst->data->Bg->shape, dst->data->Bg->fgfs[varld->data->sgfn],
dst->data->llb, dst->data->uub, dst->data->shape, data + size_out,
dst->data->llb, dst->data->uub);
#if USE_CUDA_BSSN
#if USE_CUDA_BSSN || USE_CUDA_Z4C
}
else
{
@@ -4593,7 +4655,7 @@ void Parallel::SyncCache::destroy()
{
if (send_bufs && send_bufs[i])
{
#if USE_CUDA_BSSN
#if USE_CUDA_BSSN || USE_CUDA_Z4C
free_comm_buffer(send_bufs[i], send_buf_pinned[i]);
#else
delete[] send_bufs[i];
@@ -4601,7 +4663,7 @@ void Parallel::SyncCache::destroy()
}
if (recv_bufs && recv_bufs[i])
{
#if USE_CUDA_BSSN
#if USE_CUDA_BSSN || USE_CUDA_Z4C
free_comm_buffer(recv_bufs[i], recv_buf_pinned[i]);
#else
delete[] recv_bufs[i];

View File

@@ -26,12 +26,20 @@ using namespace std;
#include "shellfunctions.h"
#include "cpbc.h"
#include "kodiss.h"
#include "parameters.h"
#ifdef With_AHF
#include "derivatives.h"
#include "myglobal.h"
#endif
#include "parameters.h"
#ifndef USE_CUDA_Z4C
#define USE_CUDA_Z4C 0
#endif
#if USE_CUDA_Z4C && (ABEtype == 2)
#include "z4c_rhs_cuda.h"
#endif
#ifdef With_AHF
#include "derivatives.h"
#include "myglobal.h"
#endif
//================================================================================================
@@ -167,12 +175,554 @@ Z4c_class::~Z4c_class()
#define MRBD 0 // 0: fix BD for meshrefinement level; 1: sommerfeld_bam for them; 2: sommerfeld_yo for them
#ifndef CPBC
// for sommerfeld boundary
void Z4c_class::Step(int lev, int YN)
{
double dT_lev = dT * pow(0.5, Mymax(lev, trfls));
#ifndef CPBC
// for sommerfeld boundary
#if USE_CUDA_Z4C && (ABEtype == 2)
#ifdef WithShell
#error "USE_CUDA_Z4C resident path currently supports Cartesian non-shell Z4C only"
#endif
#if (MRBD == 2)
#error "USE_CUDA_Z4C resident path does not support MRBD == 2"
#endif
namespace {
static const int k_z4c_cuda_bh_state_indices[3] = {18, 19, 20};
bool fill_z4c_cuda_views(Block *cg, MyList<var> *vars,
double **host_views,
double *propspeeds = 0,
double *soa_flat = 0)
{
int idx = 0;
while (vars && idx < Z4C_CUDA_STATE_COUNT)
{
host_views[idx] = cg->fgfs[vars->data->sgfn];
if (propspeeds)
propspeeds[idx] = vars->data->propspeed;
if (soa_flat)
{
soa_flat[3 * idx + 0] = vars->data->SoA[0];
soa_flat[3 * idx + 1] = vars->data->SoA[1];
soa_flat[3 * idx + 2] = vars->data->SoA[2];
}
vars = vars->next;
++idx;
}
return idx == Z4C_CUDA_STATE_COUNT && vars == 0;
}
void z4c_cuda_download_level_state(MyList<Patch> *PatL, MyList<var> *vars, int myrank, bool release_ctx)
{
MyList<Patch> *Pp = PatL;
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
if (myrank == cg->rank && z4c_cuda_has_resident_state(cg))
{
double *state_out[Z4C_CUDA_STATE_COUNT];
if (!fill_z4c_cuda_views(cg, vars, state_out))
{
cout << "CUDA Z4C state list mismatch on resident state download" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
if (z4c_cuda_download_resident_state(cg, cg->shape, state_out))
{
cout << "CUDA Z4C resident state download failed" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
if (release_ctx)
z4c_cuda_release_step_ctx(cg);
}
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
}
bool z4c_cuda_patch_contains_point(Patch *patch, const double *point)
{
if (!patch)
return false;
for (int d = 0; d < dim; d++)
{
const double h = patch->getdX(d);
const double lo = patch->bbox[d] + patch->lli[d] * h;
const double hi = patch->bbox[dim + d] - patch->uui[d] * h;
if (point[d] < lo || point[d] > hi)
return false;
}
return true;
}
bool z4c_cuda_point_in_block(Patch *patch, Block *block,
const double *point, const double *DH)
{
if (!patch || !block)
return false;
for (int d = 0; d < dim; d++)
{
double llb;
double uub;
#ifdef Vertex
#ifdef Cell
#error Both Cell and Vertex are defined
#endif
llb = (feq(block->bbox[d], patch->bbox[d], DH[d] / 2))
? block->bbox[d] + patch->lli[d] * DH[d]
: block->bbox[d] + (ghost_width - 0.5) * DH[d];
uub = (feq(block->bbox[dim + d], patch->bbox[dim + d], DH[d] / 2))
? block->bbox[dim + d] - patch->uui[d] * DH[d]
: block->bbox[dim + d] - (ghost_width - 0.5) * DH[d];
#else
#ifdef Cell
llb = (feq(block->bbox[d], patch->bbox[d], DH[d] / 2))
? block->bbox[d] + patch->lli[d] * DH[d]
: block->bbox[d] + ghost_width * DH[d];
uub = (feq(block->bbox[dim + d], patch->bbox[dim + d], DH[d] / 2))
? block->bbox[dim + d] - patch->uui[d] * DH[d]
: block->bbox[dim + d] - ghost_width * DH[d];
#else
#error Not define Vertex nor Cell
#endif
#endif
if (point[d] - llb < -DH[d] / 2 || point[d] - uub > DH[d] / 2)
return false;
}
return true;
}
int z4c_cuda_interp_tile_start(const double *coords, int n, double x, double dx, int ordn)
{
if (!coords || n <= ordn)
return 0;
int cxi = int((x - coords[0]) / dx + 0.4) + 1;
int start = cxi - ordn / 2;
if (start < 0)
start = 0;
const int max_start = n - ordn;
if (start > max_start)
start = max_start;
return start;
}
bool z4c_cuda_interp_bh_point_resident(MyList<Patch> *PatL,
int myrank,
const double *point,
var *forx, var *fory, var *forz,
int Symmetry,
double *shellf)
{
const int ordn = 2 * ghost_width;
int owner_rank = -1;
shellf[0] = shellf[1] = shellf[2] = 0.0;
MyList<Patch> *PL = PatL;
while (PL)
{
Patch *patch = PL->data;
if (!z4c_cuda_patch_contains_point(patch, point))
{
PL = PL->next;
continue;
}
double DH[dim];
for (int d = 0; d < dim; d++)
DH[d] = patch->getdX(d);
MyList<Block> *BP = patch->blb;
while (BP)
{
Block *block = BP->data;
if (z4c_cuda_point_in_block(patch, block, point, DH))
{
owner_rank = block->rank;
if (myrank == owner_rank)
{
int interp_ordn = ordn;
int interp_sym = Symmetry;
double x = point[0];
double y = point[1];
double z = point[2];
if (z4c_cuda_has_resident_state(block) &&
block->shape[0] >= ordn && block->shape[1] >= ordn && block->shape[2] >= ordn)
{
const int sx = ordn;
const int sy = ordn;
const int sz = ordn;
const int region_all = sx * sy * sz;
const int i0 = z4c_cuda_interp_tile_start(block->X[0], block->shape[0], x, DH[0], ordn);
const int j0 = z4c_cuda_interp_tile_start(block->X[1], block->shape[1], y, DH[1], ordn);
const int k0 = z4c_cuda_interp_tile_start(block->X[2], block->shape[2], z, DH[2], ordn);
double *packed_fields = new double[3 * region_all];
var *vars[3] = {forx, fory, forz};
for (int f = 0; f < 3; f++)
{
if (z4c_cuda_pack_state_region_to_host_buffer(block,
k_z4c_cuda_bh_state_indices[f],
packed_fields + f * region_all,
block->shape,
i0, j0, k0,
sx, sy, sz) != 0)
{
delete[] packed_fields;
cout << "CUDA Z4C BH tile download failed" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
int tile_shape[3] = {sx, sy, sz};
f_global_interp(tile_shape,
block->X[0] + i0,
block->X[1] + j0,
block->X[2] + k0,
packed_fields + f * region_all,
shellf[f],
x, y, z,
interp_ordn,
vars[f]->SoA,
interp_sym);
}
delete[] packed_fields;
}
else
{
f_global_interp(block->shape, block->X[0], block->X[1], block->X[2],
block->fgfs[forx->sgfn], shellf[0],
x, y, z, interp_ordn, forx->SoA, interp_sym);
f_global_interp(block->shape, block->X[0], block->X[1], block->X[2],
block->fgfs[fory->sgfn], shellf[1],
x, y, z, interp_ordn, fory->SoA, interp_sym);
f_global_interp(block->shape, block->X[0], block->X[1], block->X[2],
block->fgfs[forz->sgfn], shellf[2],
x, y, z, interp_ordn, forz->SoA, interp_sym);
}
}
break;
}
if (BP == patch->ble)
break;
BP = BP->next;
}
if (owner_rank >= 0)
break;
PL = PL->next;
}
if (owner_rank < 0)
return false;
MPI_Bcast(shellf, 3, MPI_DOUBLE, owner_rank, MPI_COMM_WORLD);
return true;
}
bool z4c_cuda_compute_porg_rhs_resident(cgh *GH,
int ilev,
int myrank,
int BH_num,
double **BH_PS,
double **BH_RHS,
var *forx, var *fory, var *forz,
int Symmetry)
{
for (int n = 0; n < BH_num; n++)
{
double shellf[3] = {0.0, 0.0, 0.0};
int lev = ilev;
while (lev >= 0 &&
!z4c_cuda_interp_bh_point_resident(GH->PatL[lev], myrank, BH_PS[n],
forx, fory, forz, Symmetry, shellf))
{
--lev;
}
if (lev < 0)
return false;
BH_RHS[n][0] = -shellf[0];
BH_RHS[n][1] = -shellf[1];
BH_RHS[n][2] = -shellf[2];
}
return true;
}
} // namespace
#endif
void Z4c_class::Step(int lev, int YN)
{
#if USE_CUDA_Z4C && (ABEtype == 2)
double dT_lev = dT * pow(0.5, Mymax(lev, trfls));
#ifdef With_AHF
AH_Step_Find(lev, dT_lev);
#endif
bool BB = fgt(PhysTime, StartTime, dT_lev / 2);
double ndeps = numepss;
if (lev < GH->movls)
ndeps = numepsb;
double TRK4 = PhysTime;
int iter_count = 0;
int pre = 0, cor = 1;
int ERROR = 0;
MyList<Patch> *Pp = GH->PatL[lev];
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
if (myrank == cg->rank)
{
double *state_in[Z4C_CUDA_STATE_COUNT];
double *state_out[Z4C_CUDA_STATE_COUNT];
double propspeed[Z4C_CUDA_STATE_COUNT];
double soa_flat[3 * Z4C_CUDA_STATE_COUNT];
if (!fill_z4c_cuda_views(cg, StateList, state_in, propspeed, soa_flat) ||
!fill_z4c_cuda_views(cg, SynchList_pre, state_out))
{
cout << "CUDA Z4C state list mismatch on predictor step" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
int apply_bam_bc = 0;
#if (MRBD == 0)
#if (SommerType == 0)
apply_bam_bc = (lev == 0) ? 1 : 0;
#endif
#elif (MRBD == 1)
apply_bam_bc = 1;
#endif
int keep_resident_state = 1;
int apply_enforce_ga = 0;
#if (AGM == 0)
apply_enforce_ga = 1;
#endif
if (z4c_cuda_rk4_substep(cg,
cg->shape, cg->X[0], cg->X[1], cg->X[2],
state_in, state_out,
propspeed, soa_flat, Pp->data->bbox,
dT_lev, TRK4, iter_count, apply_bam_bc,
Symmetry, lev, ndeps, pre,
keep_resident_state, apply_enforce_ga, chitiny))
{
cout << "CUDA Z4C predictor substep failed in domain: ("
<< cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
}
}
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
{
int erh = ERROR;
MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
if (ERROR)
{
if (myrank == 0 && ErrorMonitor->outfile)
ErrorMonitor->outfile << "CUDA Z4C failed in predictor at t = " << PhysTime
<< ", lev = " << lev << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
Parallel::Sync(GH->PatL[lev], SynchList_pre, Symmetry);
if (BH_num > 0 && lev == GH->levels - 1)
{
compute_Porg_rhs(Porg0, Porg_rhs, Sfx0, Sfy0, Sfz0, lev);
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][0], Porg[ithBH][0], Porg_rhs[ithBH][0], iter_count);
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][1], Porg[ithBH][1], Porg_rhs[ithBH][1], iter_count);
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][2], Porg[ithBH][2], Porg_rhs[ithBH][2], iter_count);
if (Symmetry > 0)
Porg[ithBH][2] = fabs(Porg[ithBH][2]);
if (Symmetry == 2)
{
Porg[ithBH][0] = fabs(Porg[ithBH][0]);
Porg[ithBH][1] = fabs(Porg[ithBH][1]);
}
}
}
if ((lev == a_lev) && (LastAnas + dT_lev >= AnasTime))
z4c_cuda_download_level_state(GH->PatL[lev], SynchList_pre, myrank, false);
if (lev == a_lev)
AnalysisStuff(lev, dT_lev);
for (iter_count = 1; iter_count < 4; iter_count++)
{
if (iter_count == 1 || iter_count == 3)
TRK4 += dT_lev / 2;
Pp = GH->PatL[lev];
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
if (myrank == cg->rank)
{
double *state_in[Z4C_CUDA_STATE_COUNT];
double *state_out[Z4C_CUDA_STATE_COUNT];
double propspeed[Z4C_CUDA_STATE_COUNT];
double soa_flat[3 * Z4C_CUDA_STATE_COUNT];
if (!fill_z4c_cuda_views(cg, SynchList_pre, state_in, propspeed, soa_flat) ||
!fill_z4c_cuda_views(cg, SynchList_cor, state_out))
{
cout << "CUDA Z4C state list mismatch on corrector step" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
int apply_bam_bc = 0;
#if (MRBD == 0)
#if (SommerType == 0)
apply_bam_bc = (lev == 0) ? 1 : 0;
#endif
#elif (MRBD == 1)
apply_bam_bc = 1;
#endif
int keep_resident_state = 1;
int apply_enforce_ga = 0;
#if (AGM == 0)
apply_enforce_ga = 1;
#elif (AGM == 1)
apply_enforce_ga = (iter_count == 3) ? 1 : 0;
#endif
if (z4c_cuda_rk4_substep(cg,
cg->shape, cg->X[0], cg->X[1], cg->X[2],
state_in, state_out,
propspeed, soa_flat, Pp->data->bbox,
dT_lev, TRK4, iter_count, apply_bam_bc,
Symmetry, lev, ndeps, cor,
keep_resident_state, apply_enforce_ga, chitiny))
{
cout << "CUDA Z4C corrector substep failed in domain: ("
<< cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
}
}
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
{
int erh = ERROR;
MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
if (ERROR)
{
if (myrank == 0 && ErrorMonitor->outfile)
ErrorMonitor->outfile << "CUDA Z4C failed in RK4 substep#" << iter_count
<< " at t = " << PhysTime
<< ", lev = " << lev << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
Parallel::Sync(GH->PatL[lev], SynchList_cor, Symmetry);
if (BH_num > 0 && lev == GH->levels - 1)
{
if (!z4c_cuda_compute_porg_rhs_resident(GH, lev, myrank, BH_num,
Porg, Porg1,
Sfx, Sfy, Sfz, Symmetry))
{
if (myrank == 0 && ErrorMonitor->outfile)
ErrorMonitor->outfile << "CUDA Z4C failed to interpolate black-hole shift at t = "
<< PhysTime << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][0], Porg1[ithBH][0], Porg_rhs[ithBH][0], iter_count);
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][1], Porg1[ithBH][1], Porg_rhs[ithBH][1], iter_count);
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][2], Porg1[ithBH][2], Porg_rhs[ithBH][2], iter_count);
if (Symmetry > 0)
Porg1[ithBH][2] = fabs(Porg1[ithBH][2]);
if (Symmetry == 2)
{
Porg1[ithBH][0] = fabs(Porg1[ithBH][0]);
Porg1[ithBH][1] = fabs(Porg1[ithBH][1]);
}
}
}
if (iter_count < 3)
{
Pp = GH->PatL[lev];
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
cg->swapList(SynchList_pre, SynchList_cor, myrank);
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
if (BH_num > 0 && lev == GH->levels - 1)
{
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
Porg[ithBH][0] = Porg1[ithBH][0];
Porg[ithBH][1] = Porg1[ithBH][1];
Porg[ithBH][2] = Porg1[ithBH][2];
}
}
}
}
z4c_cuda_download_level_state(GH->PatL[lev], SynchList_cor, myrank, true);
#if (RPS == 0)
RestrictProlong(lev, YN, BB);
#endif
Pp = GH->PatL[lev];
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
cg->swapList(StateList, SynchList_cor, myrank);
cg->swapList(OldStateList, SynchList_cor, myrank);
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
if (BH_num > 0 && lev == GH->levels - 1)
{
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
Porg0[ithBH][0] = Porg1[ithBH][0];
Porg0[ithBH][1] = Porg1[ithBH][1];
Porg0[ithBH][2] = Porg1[ithBH][2];
}
}
#else
double dT_lev = dT * pow(0.5, Mymax(lev, trfls));
#ifdef With_AHF
AH_Step_Find(lev, dT_lev);
#endif
@@ -1039,15 +1589,19 @@ void Z4c_class::Step(int lev, int YN)
{
Porg0[ithBH][0] = Porg1[ithBH][0];
Porg0[ithBH][1] = Porg1[ithBH][1];
Porg0[ithBH][2] = Porg1[ithBH][2];
}
}
}
#else
// for constraint preserving boundary (CPBC)
#ifndef WithShell
#error "CPBC only supports Shell"
#endif
Porg0[ithBH][2] = Porg1[ithBH][2];
}
}
#endif
}
#else
// for constraint preserving boundary (CPBC)
#if USE_CUDA_Z4C && (ABEtype == 2)
#error "USE_CUDA_Z4C resident path does not support CPBC"
#endif
#ifndef WithShell
#error "CPBC only supports Shell"
#endif
// 0: extroplate rhs, 1: extroplate variable
// 2: extroplate variable but before RHS calculation

View File

@@ -49,6 +49,10 @@ endif
bssn_rhs_cuda.o: bssn_rhs_cuda.cu bssn_rhs.h macrodef.h
$(Cu) $(CUDA_APP_FLAGS) -c $< -o $@ $(CUDA_LIB_PATH)
# CUDA rewrite of Z4C Cartesian RHS
z4c_rhs_cuda.o: z4c_rhs_cuda.cu z4c_rhs_cuda.h bssn_rhs.h macrodef.h ricci_gamma.h
$(Cu) $(CUDA_APP_FLAGS) -c $< -o $@ $(CUDA_LIB_PATH)
# C rewrite of BSSN RHS kernel and helpers
bssn_rhs_c.o: bssn_rhs_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
@@ -65,14 +69,14 @@ kodiss_c.o: kodiss_c.C
lopsided_c.o: lopsided_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
lopsided_kodis_c.o: lopsided_kodis_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
z4c_rhs_c.o: z4c_rhs_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
#interp_lb_profile.o: interp_lb_profile.C interp_lb_profile.h
# ${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
lopsided_kodis_c.o: lopsided_kodis_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
z4c_rhs_c.o: z4c_rhs_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
#interp_lb_profile.o: interp_lb_profile.C interp_lb_profile.h
# ${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
## TwoPunctureABE uses fixed optimal flags with its own PGO profile, independent of CXXAPPFLAGS
TP_PROFDATA = /home/$(shell whoami)/AMSS-NCKU/pgo_profile/TwoPunctureABE.profdata
@@ -88,13 +92,16 @@ TwoPunctureABE.o: TwoPunctureABE.C
# Input files
## CUDA BSSN RHS switch
## 1 : use the rewritten CUDA bssn_rhs backend
## 0 : keep the normal CPU/Fortran selection below
USE_CUDA_BSSN ?= 0
## CUDA BSSN RHS switch
## 1 : use the rewritten CUDA bssn_rhs backend
## 0 : keep the normal CPU/Fortran selection below
USE_CUDA_BSSN ?= 0
USE_CUDA_Z4C ?= 0
CXXAPPFLAGS += -DUSE_CUDA_BSSN=$(USE_CUDA_BSSN)
CUDA_APP_FLAGS += -DUSE_CUDA_BSSN=$(USE_CUDA_BSSN)
CXXAPPFLAGS += -DUSE_CUDA_Z4C=$(USE_CUDA_Z4C)
CUDA_APP_FLAGS += -DUSE_CUDA_Z4C=$(USE_CUDA_Z4C)
## Kernel implementation switch (set USE_CXX_KERNELS=0 to fall back to Fortran)
ifeq ($(USE_CXX_KERNELS),0)
@@ -107,22 +114,25 @@ endif
CFILES_CUDA_BSSN = bssn_rhs_cuda.o
ifeq ($(USE_CUDA_BSSN),1)
CFILES = $(CFILES_CUDA_BSSN)
else
CFILES = $(CFILES_CPU)
endif
ifeq ($(USE_CXX_Z4C_KERNELS),1)
CFILES += z4c_rhs_c.o
Z4C_F90_OBJ =
else
Z4C_F90_OBJ = Z4c_rhs.o
endif
## RK4 kernel switch (independent from USE_CXX_KERNELS)
ifeq ($(USE_CXX_RK4),1)
RK4_C_OBJ = rungekutta4_rout_c.o
ifeq ($(USE_CUDA_BSSN),1)
CFILES = $(CFILES_CUDA_BSSN)
else
CFILES = $(CFILES_CPU)
endif
ifeq ($(USE_CUDA_Z4C),1)
CFILES += z4c_rhs_cuda.o
Z4C_F90_OBJ =
else ifeq ($(USE_CXX_Z4C_KERNELS),1)
CFILES += z4c_rhs_c.o
Z4C_F90_OBJ =
else
Z4C_F90_OBJ = Z4c_rhs.o
endif
## RK4 kernel switch (independent from USE_CXX_KERNELS)
ifeq ($(USE_CXX_RK4),1)
RK4_C_OBJ = rungekutta4_rout_c.o
RK4_F90_OBJ =
else
RK4_C_OBJ =
@@ -130,12 +140,15 @@ RK4_F90_OBJ = rungekutta4_rout.o
endif
CFILES += $(RK4_C_OBJ)
ABE_CUDA_CFILES = $(CFILES_CUDA_BSSN) $(RK4_C_OBJ)
ABE_CUDA_CFILES = $(CFILES_CUDA_BSSN) z4c_rhs_cuda.o $(RK4_C_OBJ)
ABE_LDLIBS = $(LDLIBS)
ifeq ($(USE_CUDA_BSSN),1)
ABE_LDLIBS += -lcudart $(CUDA_LIB_PATH)
endif
ifeq ($(USE_CUDA_Z4C),1)
ABE_LDLIBS += -lcudart $(CUDA_LIB_PATH)
endif
C++FILES = ABE.o Ansorg.o Block.o misc.o monitor.o Parallel.o MPatch.o var.o\
cgh.o bssn_class.o surface_integral.o ShellPatch.o\
@@ -155,13 +168,13 @@ C++FILES = ABE.o Ansorg.o Block.o misc.o monitor.o Parallel.o MPatch.o var.o\
F90FILES_BASE = enforce_algebra.o fmisc.o initial_puncture.o prolongrestrict.o\
prolongrestrict_cell.o prolongrestrict_vertex.o\
$(RK4_F90_OBJ) diff_new.o kodiss.o kodiss_sh.o\
lopsidediff.o sommerfeld_rout.o getnp4.o diff_new_sh.o\
shellfunctions.o bssn_rhs_ss.o Set_Rho_ADM.o\
getnp4EScalar.o bssnEScalar_rhs.o bssn_constraint.o ricci_gamma.o\
fadmquantites_bssn.o $(Z4C_F90_OBJ) Z4c_rhs_ss.o point_diff_new_sh.o\
cpbc.o getnp4old.o NullEvol.o initial_null.o initial_maxwell.o\
getnpem2.o empart.o NullNews.o fourdcurvature.o\
bssn2adm.o adm_constraint.o adm_ricci_gamma.o\
lopsidediff.o sommerfeld_rout.o getnp4.o diff_new_sh.o\
shellfunctions.o bssn_rhs_ss.o Set_Rho_ADM.o\
getnp4EScalar.o bssnEScalar_rhs.o bssn_constraint.o ricci_gamma.o\
fadmquantites_bssn.o $(Z4C_F90_OBJ) Z4c_rhs_ss.o point_diff_new_sh.o\
cpbc.o getnp4old.o NullEvol.o initial_null.o initial_maxwell.o\
getnpem2.o empart.o NullNews.o fourdcurvature.o\
bssn2adm.o adm_constraint.o adm_ricci_gamma.o\
scalar_rhs.o initial_scalar.o NullEvol2.o initial_null2.o\
NullNews2.o tool_f.o
@@ -220,9 +233,10 @@ misc.o : zbesh.o
ABE: $(C++FILES) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS)
$(CLINKER) $(CXXAPPFLAGS) -o $@ $(C++FILES) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(ABE_LDLIBS)
ABE_CUDA: USE_CUDA_BSSN=1
ABE_CUDA: $(C++FILES) $(ABE_CUDA_CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS)
$(CLINKER) $(CXXAPPFLAGS) -o $@ $(C++FILES) $(ABE_CUDA_CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(LDLIBS) -lcudart $(CUDA_LIB_PATH)
ABE_CUDA: USE_CUDA_BSSN=1
ABE_CUDA: USE_CUDA_Z4C=1
ABE_CUDA: $(C++FILES) $(ABE_CUDA_CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS)
$(CLINKER) $(CXXAPPFLAGS) -o $@ $(C++FILES) $(ABE_CUDA_CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(LDLIBS) -lcudart $(CUDA_LIB_PATH)
#ABEGPU: $(C++FILES_GPU) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(CUDAFILES)
# $(CLINKER) $(CXXAPPFLAGS) -o $@ $(C++FILES_GPU) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(CUDAFILES) $(LDLIBS)

File diff suppressed because it is too large Load Diff

View File

@@ -0,0 +1,83 @@
#ifndef Z4C_RHS_CUDA_H
#define Z4C_RHS_CUDA_H
#ifdef __cplusplus
extern "C" {
#endif
enum {
Z4C_CUDA_STATE_COUNT = 25
};
int z4c_cuda_rk4_substep(void *block_tag,
int *ex, double *X, double *Y, double *Z,
double **state_host_in,
double **state_host_out,
const double *propspeed,
const double *soa_flat,
const double *bbox,
double &dT,
double &T,
int &RK4,
int &apply_bam_bc,
int &Symmetry,
int &Lev,
double &eps,
int &co,
int &keep_resident_state,
int &apply_enforce_ga,
double &chitiny);
int z4c_cuda_download_resident_state(void *block_tag,
int *ex,
double **state_host_out);
int z4c_cuda_pack_state_region_to_host_buffer(void *block_tag,
int state_index,
double *host_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int z4c_cuda_unpack_state_region_from_host_buffer(void *block_tag,
int state_index,
double *host_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int z4c_cuda_pack_state_batch_to_host_buffer(void *block_tag,
int state_count,
double *host_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int z4c_cuda_unpack_state_batch_from_host_buffer(void *block_tag,
int state_count,
double *host_buffer,
int *ex,
int i0, int j0, int k0,
int sx, int sy, int sz);
int z4c_cuda_download_state_subset(void *block_tag,
int *ex,
int subset_count,
const int *state_indices,
double **state_host_out);
int z4c_cuda_upload_state_subset(void *block_tag,
int *ex,
int subset_count,
const int *state_indices,
double **state_host_in);
int z4c_cuda_has_resident_state(void *block_tag);
void z4c_cuda_release_step_ctx(void *block_tag);
#ifdef __cplusplus
}
#endif
#endif

View File

@@ -70,9 +70,9 @@ def makefile_ABE():
## Build command with CPU binding to nohz_full cores
if (input_data.GPU_Calculation == "no"):
makefile_command = f"{NUMACTL_CPU_BIND} make -j{BUILD_JOBS} INTERP_LB_MODE=off USE_CUDA_BSSN=0 ABE"
makefile_command = f"{NUMACTL_CPU_BIND} make -j{BUILD_JOBS} INTERP_LB_MODE=off USE_CUDA_BSSN=0 USE_CUDA_Z4C=0 ABE"
elif (input_data.GPU_Calculation == "yes"):
makefile_command = f"{NUMACTL_CPU_BIND} make -j{BUILD_JOBS} INTERP_LB_MODE=off USE_CUDA_BSSN=1 ABE_CUDA"
makefile_command = f"{NUMACTL_CPU_BIND} make -j{BUILD_JOBS} INTERP_LB_MODE=off USE_CUDA_BSSN=1 USE_CUDA_Z4C=1 ABE_CUDA"
else:
print( " CPU/GPU numerical calculation setting is wrong " )
print( )