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quda_interface.c
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quda_interface.c
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/***********************************************************************
*
* Copyright (C) 2015 Mario Schroeck
* 2016, 2017 Bartosz Kostrzewa
* 2018 Bartosz Kostrzewa, Ferenc Pittler
* 2019, 2020 Bartosz Kostrzewa
* 2021 Bartosz Kostrzewa, Marco Garofalo, Ferenc Pittler, Simone Bacchio
* 2022 Simone Romiti, Bartosz Kostrzewa
* 2023 Aniket Sen, Bartosz Kostrzewa
*
* This file is part of tmLQCD.
*
* tmLQCD is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* tmLQCD is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with tmLQCD. If not, see <http://www.gnu.org/licenses/>.
*
*
***********************************************************************/
/***********************************************************************
*
* File quda_interface.h
*
* Authors: Mario Schroeck <mario.schroeck@roma3.infn.it>
* Bartosz Kostrzewa <bartosz_kostrzewa@fastmail.com>
*
* Interface to QUDA for multi-GPU inverters
*
* The externally accessible functions are
*
* void _initQuda()
* Initializes the QUDA library. Carries over the lattice size and the
* MPI process grid and thus must be called after initializing MPI.
* Currently it is called in init_operators() if optr->use_qudainverter
* flag is set.
* Memory for the QUDA gaugefield on the host is allocated but not filled
* yet (the latter is done in _loadGaugeQuda(), see below).
* Performance critical settings are done here and can be changed.
*
* void _endQuda()
* Finalizes the QUDA library. Call before MPI_Finalize().
*
* void _loadGaugeQuda()
* Copies and reorders the gaugefield on the host and copies it to the GPU.
* Must be called between last changes on the gaugefield (smearing etc.)
* and first call of the inverter. In particular, 'boundary(const double kappa)'
* must be called before if nontrivial boundary conditions are to be used since
* those will be applied directly to the gaugefield. Currently it is called just
* before the inversion is done (might result in wasted loads...).
* It checks whether the curently loaded gauge field corresponds to the gauge field
* about to be loaded and returns with a no-op if they agree.
*
* void _loadCloverQuda()
* Wrapper for loadCloverQuda() which checks that the currently loaded gauge field
* and the clover field about to be constructed agree. If they do, the currently
* loaded clover field is reused.
*
* void _setQudaMultigridParam()
* borrowed from QUDA multigrid_invert_test, sets up the input parameters
* for running the QUDA-MG implementation
*
* The functions
*
* int invert_eo_quda(...);
* int invert_doublet_eo_quda(...);
* void M_full_quda(...);
* void D_psi_quda(...);
*
* mimic their tmLQCD counterparts in functionality as well as input and
* output parameters. The invert functions will check the parameters
* g_mu, g_c_sw do decide which QUDA operator to create.
*
* To activate those, set "UseQudaInverter = yes" in the operator
* declaration of the input file. For details see the documentation.
*
* The function
*
* int invert_quda_direct(...);
*
* provides a direct interface to the QUDA solver and is not accessible through
* the input file.
*
* Notes:
*
* Minimum QUDA version is 0.7.0 (see https://github.com/lattice/quda/issues/151
* and https://github.com/lattice/quda/issues/157).
*
*
**************************************************************************/
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include <float.h>
#include <stdbool.h> // boolean types in C
#include "quda_interface.h"
#include "quda_types.h"
#include "boundary.h"
#include "linalg/convert_eo_to_lexic.h"
#include "linalg/mul_r.h"
#include "solver/solver.h"
#include "solver/solver_field.h"
#include "gettime.h"
#include "boundary.h"
#include "quda.h"
#include "global.h"
#include "operator.h"
#include "tm_debug_printf.h"
#include "phmc.h"
#include "quda_gauge_paths.inc"
#include "io/gauge.h"
#include "measure_gauge_action.h"
// nstore is generally like a gauge id, for measurements it identifies the gauge field
// uniquely
extern int nstore;
// define order of the spatial indices
// default is LX-LY-LZ-T, see below def. of local lattice size, this is related to
// the gamma basis transformation from tmLQCD -> UKQCD
// for details see https://github.com/lattice/quda/issues/157
#define USE_LZ_LY_LX_T 0
#define MAX(a,b) ((a)>(b)?(a):(b))
tm_QudaMGSetupState_t quda_mg_setup_state;
tm_QudaGaugeState_t quda_gauge_state;
tm_QudaCloverState_t quda_clover_state;
// gauge and invert paramameter structs; init. in _initQuda()
QudaGaugeParam gauge_param;
QudaInvertParam inv_param;
// params to pass to MG
QudaMultigridParam quda_mg_param;
QudaInvertParam mg_inv_param;
void* quda_mg_preconditioner;
// MGEigSolver params for all levels, these need to be around as they
// will be populated in _setQudaMultigridParam and then assigned
// on a per-level basis to QudaInvertParam members (if the EigSolver is enabled
// on the given level)
QudaEigParam mg_eig_param[QUDA_MAX_MG_LEVEL];
// input params specific to tmLQCD QUDA interface
tm_QudaParams_t quda_input;
// parameters for the eigensolver
QudaEigParam eig_param;
// pointer to the QUDA gaugefield
double *gauge_quda[4];
// re-initialized each time by _initMomQuda()
QudaGaugeParam f_gauge_param;
// pointer to the QUDA momentum field
double *mom_quda[4];
double *mom_quda_reordered[4];
// pointer to a temp. spinor, used for reordering etc.
double *tempSpinor;
// function that maps coordinates in the communication grid to MPI ranks
int commsMap(const int *coords, void *fdata) {
#if USE_LZ_LY_LX_T
int n[4] = {coords[3], coords[2], coords[1], coords[0]};
#else
int n[4] = {coords[3], coords[0], coords[1], coords[2]};
#endif
int rank = 0;
#ifdef TM_USE_MPI
MPI_Cart_rank( g_cart_grid, n, &rank );
#endif
return rank;
}
// variable to check if quda has been initialized
static int quda_initialized = 0;
void _setVerbosityQuda();
void _setQudaMultigridParam(QudaMultigridParam* mg_param);
void _setMGInvertParam(QudaInvertParam * mg_inv_param, const QudaInvertParam * const inv_param);
void _updateQudaMultigridPreconditioner(void);
void _setOneFlavourSolverParam(const double kappa, const double c_sw, const double mu,
const int solver_type, const int even_odd,
const double eps_sq, const int maxiter,
const int single_parity_solve, const int QpQm);
void set_default_gauge_param(QudaGaugeParam * gauge_param){
// local lattice size
#if USE_LZ_LY_LX_T
gauge_param->X[0] = LZ;
gauge_param->X[1] = LY;
gauge_param->X[2] = LX;
gauge_param->X[3] = T;
#else
gauge_param->X[0] = LX;
gauge_param->X[1] = LY;
gauge_param->X[2] = LZ;
gauge_param->X[3] = T;
#endif
gauge_param->anisotropy = 1.0;
gauge_param->type = QUDA_WILSON_LINKS;
gauge_param->gauge_order = QUDA_QDP_GAUGE_ORDER;
gauge_param->cpu_prec = QUDA_DOUBLE_PRECISION;
gauge_param->cuda_prec = QUDA_DOUBLE_PRECISION;
gauge_param->reconstruct = QUDA_RECONSTRUCT_NO;
gauge_param->reconstruct_sloppy = QUDA_RECONSTRUCT_NO;
gauge_param->reconstruct_precondition = QUDA_RECONSTRUCT_NO;
gauge_param->reconstruct_refinement_sloppy = QUDA_RECONSTRUCT_NO;
gauge_param->reconstruct_eigensolver = QUDA_RECONSTRUCT_NO;
gauge_param->gauge_fix = QUDA_GAUGE_FIXED_NO;
// For multi-GPU, ga_pad must be large enough to store a time-slice
int x_face_size = gauge_param->X[1]*gauge_param->X[2]*gauge_param->X[3]/2;
int y_face_size = gauge_param->X[0]*gauge_param->X[2]*gauge_param->X[3]/2;
int z_face_size = gauge_param->X[0]*gauge_param->X[1]*gauge_param->X[3]/2;
int t_face_size = gauge_param->X[0]*gauge_param->X[1]*gauge_param->X[2]/2;
int pad_size =MAX(x_face_size, y_face_size);
pad_size = MAX(pad_size, z_face_size);
pad_size = MAX(pad_size, t_face_size);
gauge_param->ga_pad = pad_size;
gauge_param->make_resident_gauge = QUDA_BOOLEAN_NO;
gauge_param->t_boundary = QUDA_PERIODIC_T;
}
void _setDefaultQudaParam(void){
reset_quda_gauge_state(&quda_gauge_state);
reset_quda_clover_state(&quda_clover_state);
reset_quda_mg_setup_state(&quda_mg_setup_state);
quda_mg_preconditioner = NULL;
// *** QUDA parameters begin here (sloppy prec. will be adjusted in invert)
QudaPrecision cpu_prec = QUDA_DOUBLE_PRECISION;
QudaPrecision cuda_prec = QUDA_DOUBLE_PRECISION;
QudaPrecision cuda_prec_sloppy = QUDA_SINGLE_PRECISION;
QudaPrecision cuda_prec_precondition = QUDA_SINGLE_PRECISION;
QudaTune tune = QUDA_TUNE_YES;
// *** the remainder should not be changed for this application
inv_param.Ls = 1;
set_default_gauge_param(&gauge_param);
gauge_param.cuda_prec_sloppy = cuda_prec_sloppy;
gauge_param.cuda_prec_refinement_sloppy = cuda_prec_sloppy;
gauge_param.cuda_prec_precondition = cuda_prec_precondition;
gauge_param.cuda_prec_eigensolver = cuda_prec_precondition;
inv_param.dagger = QUDA_DAG_NO;
inv_param.mass_normalization = QUDA_KAPPA_NORMALIZATION;
inv_param.solver_normalization = QUDA_DEFAULT_NORMALIZATION;
inv_param.pipeline = quda_input.pipeline;
inv_param.gcrNkrylov = quda_input.gcrNkrylov;
inv_param.residual_type = (QudaResidualType)(QUDA_L2_RELATIVE_RESIDUAL);
inv_param.tol_hq = 0.1;
// alternative reliable does not seem to work well with twisted mass (clover) fermions
inv_param.use_alternative_reliable = 0;
// Tests show that setting reliable_delta = 1e-1 results in good time to solution and good
// convergence also in double-half mixed precision
// However, it is important to set 'max_res_increase' and 'max_res_increase_total'
// to sufficiently large values
inv_param.reliable_delta = 1e-1;
inv_param.reliable_delta_refinement = 1e-1;
inv_param.max_res_increase = 10;
inv_param.max_res_increase_total = 40;
inv_param.use_sloppy_partial_accumulator = 0;
// domain decomposition preconditioner parameters
inv_param.inv_type_precondition = QUDA_CG_INVERTER;
inv_param.schwarz_type = QUDA_ADDITIVE_SCHWARZ;
inv_param.precondition_cycle = 1;
inv_param.tol_precondition = 1e-1;
inv_param.maxiter_precondition = 10;
inv_param.verbosity_precondition = QUDA_SILENT;
if( g_debug_level > 3 )
inv_param.verbosity_precondition = QUDA_SUMMARIZE;
if( g_debug_level > 5 )
inv_param.verbosity_precondition = QUDA_VERBOSE;
inv_param.omega = 1.0;
inv_param.cpu_prec = cpu_prec;
inv_param.cuda_prec = cuda_prec;
inv_param.cuda_prec_sloppy = cuda_prec_sloppy;
inv_param.cuda_prec_refinement_sloppy = cuda_prec_sloppy;
inv_param.cuda_prec_precondition = cuda_prec_precondition;
inv_param.cuda_prec_eigensolver = cuda_prec_precondition;
inv_param.chrono_precision = cuda_prec_sloppy;
inv_param.clover_rho = 0.0;
inv_param.clover_cpu_prec = cpu_prec;
inv_param.clover_cuda_prec = cuda_prec;
inv_param.clover_cuda_prec_sloppy = cuda_prec_sloppy;
inv_param.clover_cuda_prec_refinement_sloppy = cuda_prec_sloppy;
inv_param.clover_cuda_prec_precondition = cuda_prec_precondition;
inv_param.clover_cuda_prec_eigensolver = cuda_prec_precondition;
inv_param.return_clover = QUDA_BOOLEAN_FALSE;
inv_param.return_clover_inverse = QUDA_BOOLEAN_FALSE;
inv_param.preserve_source = QUDA_PRESERVE_SOURCE_YES;
inv_param.gamma_basis = QUDA_CHIRAL_GAMMA_BASIS; // CHIRAL -> UKQCD does not seem to be supported right now...
inv_param.dirac_order = QUDA_DIRAC_ORDER;
inv_param.clover_location = QUDA_CUDA_FIELD_LOCATION;
inv_param.input_location = QUDA_CPU_FIELD_LOCATION;
inv_param.output_location = QUDA_CPU_FIELD_LOCATION;
inv_param.tune = tune ? QUDA_TUNE_YES : QUDA_TUNE_NO;
// QUDA commit https://github.com/lattice/quda/commit/50864ffde1bd8f46fd4a2a2b2e6d44a5a588e2c2
// has removed these
// when running with a very recent QUDA version, TM_QUDA_EXPERIMENTAL should be set
// via --enable-quda_experimental so that these are not set
#ifndef TM_QUDA_EXPERIMENTAL
inv_param.sp_pad = 0; // 24*24*24/2;
inv_param.cl_pad = 0; // 24*24*24/2;
#endif
_setVerbosityQuda();
}
void _setVerbosityQuda(){
// solver verbosity and general verbosity
QudaVerbosity gen_verb = QUDA_SUMMARIZE;
if( g_debug_level == 0 ) {
inv_param.verbosity = QUDA_SILENT;
gen_verb = QUDA_SUMMARIZE;
}
else if( g_debug_level >= 1 && g_debug_level < 3 ) {
inv_param.verbosity = QUDA_SUMMARIZE;
}
else if( g_debug_level >= 3 && g_debug_level < 5 ) {
inv_param.verbosity = QUDA_VERBOSE;
gen_verb = QUDA_VERBOSE;
}
else if( g_debug_level >= 5 ) {
inv_param.verbosity = QUDA_DEBUG_VERBOSE;
gen_verb = QUDA_DEBUG_VERBOSE;
}
// general verbosity
setVerbosityQuda(gen_verb, "# QUDA: ", stdout);
}
void set_force_gauge_param( QudaGaugeParam * f_gauge_param){
set_default_gauge_param(f_gauge_param);
f_gauge_param->t_boundary = QUDA_PERIODIC_T;
f_gauge_param->ga_pad = 0;
f_gauge_param->use_resident_gauge = QUDA_BOOLEAN_NO;
f_gauge_param->make_resident_gauge = QUDA_BOOLEAN_NO;
f_gauge_param->use_resident_mom = QUDA_BOOLEAN_NO;
f_gauge_param->make_resident_mom = QUDA_BOOLEAN_NO;
f_gauge_param->return_result_mom = QUDA_BOOLEAN_YES;
f_gauge_param->overwrite_mom = QUDA_BOOLEAN_YES;
}
void _initQuda() {
if( quda_initialized )
return;
if( g_debug_level > 0 )
if(g_proc_id == 0)
printf("\n# TM_QUDA: Detected QUDA version %d.%d.%d\n\n", QUDA_VERSION_MAJOR, QUDA_VERSION_MINOR, QUDA_VERSION_SUBMINOR);
if( QUDA_VERSION_MAJOR == 0 && QUDA_VERSION_MINOR < 7) {
fprintf(stderr, "Error: minimum QUDA version required is 0.7.0 (for support of chiral basis and removal of bug in mass normalization with preconditioning).\n");
exit(-2);
}
if( quda_input.enable_device_memory_pool ){
setenv("QUDA_ENABLE_DEVICE_MEMORY_POOL", "1", 1);
tm_debug_printf(0, 0, "# TM_QUDA: Setting environment variable QUDA_ENABLE_DEVICE_MEMORY_POOL=1\n");
} else {
setenv("QUDA_ENABLE_DEVICE_MEMORY_POOL", "0", 1);
tm_debug_printf(0, 0, "# TM_QUDA: Setting environment variable QUDA_ENABLE_DEVICE_MEMORY_POOL=0\n");
}
if( quda_input.enable_pinned_memory_pool ){
setenv("QUDA_ENABLE_PINNED_MEMORY_POOL", "1", 1);
tm_debug_printf(0, 0, "# TM_QUDA: Setting environment variable QUDA_ENABLE_PINNED_MEMORY_POOL=1\n");
} else {
setenv("QUDA_ENABLE_PINNED_MEMORY_POOL", "0", 1);
tm_debug_printf(0, 0, "# TM_QUDA: Setting environment variable QUDA_ENABLE_PINNED_MEMORY_POOL=0\n");
}
gauge_param = newQudaGaugeParam();
f_gauge_param = newQudaGaugeParam();
inv_param = newQudaInvertParam();
mg_inv_param = newQudaInvertParam();
quda_mg_param = newQudaMultigridParam();
for( int level = 0; level < QUDA_MAX_MG_LEVEL; ++level ){
mg_eig_param[level] = newQudaEigParam();
}
_setDefaultQudaParam();
// declare the grid mapping used for communications in a multi-GPU grid
#if USE_LZ_LY_LX_T
int grid[4] = {g_nproc_z, g_nproc_y, g_nproc_x, g_nproc_t};
#else
int grid[4] = {g_nproc_x, g_nproc_y, g_nproc_z, g_nproc_t};
#endif
initCommsGridQuda(4, grid, commsMap, NULL);
// alloc gauge_quda
size_t gSize = (gauge_param.cpu_prec == QUDA_DOUBLE_PRECISION) ? sizeof(double) : sizeof(float);
for (int dir = 0; dir < 4; dir++) {
gauge_quda[dir] = (double*) malloc(VOLUME*18*gSize);
if(gauge_quda[dir] == NULL) {
fprintf(stderr, "_initQuda: malloc for gauge_quda[dir] failed");
exit(-2);
}
}
// alloc space for a temp. spinor, used throughout this module
tempSpinor = (double*)malloc( 2*VOLUME*24*sizeof(double) ); /* factor 2 for doublet */
if(tempSpinor == NULL) {
fprintf(stderr, "_initQuda: malloc for tempSpinor failed");
exit(-2);
}
// initialize the QUDA library
#ifdef TM_USE_MPI
initQuda(-1); //sets device numbers automatically
#else
// when running in 'subprocess' mode, the external program should have provided us with a unique
// id in the range 0 to (N-1), where N is the number of NVIDIA devices available (see wrapper/lib_wrapper.c)
if(subprocess_flag){
initQuda(g_external_id);
}else{
initQuda(0); //scalar build without subprocess: use device 0
}
#endif
quda_initialized = 1;
}
// finalize the QUDA library
void _endQuda() {
if( quda_initialized ) {
if( quda_mg_preconditioner != NULL ){
destroyMultigridQuda(quda_mg_preconditioner);
quda_mg_preconditioner = NULL;
}
for(int dir = 0; dir < 4; dir++){
if( (void*)gauge_quda[dir] != NULL ) free((void*)gauge_quda[dir]);
if( (void*)mom_quda[dir] != NULL ) free((void*)mom_quda[dir]);
if( (void*)mom_quda_reordered[dir] != NULL ) free((void*)mom_quda_reordered[dir]);
}
freeGaugeQuda();
freeCloverQuda(); // this is safe even if there is no Clover field loaded, at least it was in QUDA v0.7.2
free((void*)tempSpinor);
endQuda();
}
}
void _loadCloverQuda(QudaInvertParam* inv_param){
static int first_call = 1;
// check if loaded clover and gauge fields agree
if( check_quda_clover_state(&quda_clover_state, &quda_gauge_state, inv_param) ){
tm_debug_printf(0, 0, "# TM_QUDA: Clover field and inverse already loaded for gauge_id: %f\n", quda_gauge_state.gauge_id);
} else {
tm_stopwatch_push(&g_timers, "loadCloverQuda", "");
if(first_call){
first_call = 1;
} else {
freeCloverQuda();
}
reset_quda_clover_state(&quda_clover_state);
loadCloverQuda(NULL, NULL, inv_param);
set_quda_clover_state(&quda_clover_state, &quda_gauge_state, inv_param);
tm_stopwatch_pop(&g_timers, 0, 0, "TM_QUDA");
}
}
void reorder_gauge_toQuda( const su3 ** const gaugefield, const CompressionType compression ) {
tm_stopwatch_push(&g_timers, __func__, "");
#ifdef TM_USE_OMP
#pragma omp parallel
{
#endif
_Complex double tmpcplx;
size_t gSize = (gauge_param.cpu_prec == QUDA_DOUBLE_PRECISION) ? sizeof(double) : sizeof(float);
// now copy and reorder
#ifdef TM_USE_OMP
#pragma omp for collapse(4)
#endif
for( int x0=0; x0<T; x0++ )
for( int x1=0; x1<LX; x1++ )
for( int x2=0; x2<LY; x2++ )
for( int x3=0; x3<LZ; x3++ ) {
#if USE_LZ_LY_LX_T
int j = x3 + LZ*x2 + LY*LZ*x1 + LX*LY*LZ*x0;
int tm_idx = x1 + LX*x2 + LY*LX*x3 + LZ*LY*LX*x0;
#else
int j = x1 + LX*x2 + LY*LX*x3 + LZ*LY*LX*x0;
int tm_idx = x3 + LZ*x2 + LY*LZ*x1 + LX*LY*LZ*x0;
#endif
int oddBit = (x0+x1+x2+x3) & 1;
int quda_idx = 18*(oddBit*VOLUME/2+j/2);
#if USE_LZ_LY_LX_T
memcpy( &(gauge_quda[0][quda_idx]), &(gaugefield[tm_idx][3]), 18*gSize);
memcpy( &(gauge_quda[1][quda_idx]), &(gaugefield[tm_idx][2]), 18*gSize);
memcpy( &(gauge_quda[2][quda_idx]), &(gaugefield[tm_idx][1]), 18*gSize);
memcpy( &(gauge_quda[3][quda_idx]), &(gaugefield[tm_idx][0]), 18*gSize);
#else
memcpy( &(gauge_quda[0][quda_idx]), &(gaugefield[tm_idx][1]), 18*gSize);
memcpy( &(gauge_quda[1][quda_idx]), &(gaugefield[tm_idx][2]), 18*gSize);
memcpy( &(gauge_quda[2][quda_idx]), &(gaugefield[tm_idx][3]), 18*gSize);
memcpy( &(gauge_quda[3][quda_idx]), &(gaugefield[tm_idx][0]), 18*gSize);
#endif
if( compression == NO_COMPRESSION && quda_input.fermionbc == TM_QUDA_THETABC ) {
// apply theta boundary conditions if compression is not used
for( int i=0; i<9; i++ ) {
tmpcplx = gauge_quda[0][quda_idx+2*i] + I*gauge_quda[0][quda_idx+2*i+1];
tmpcplx *= -phase_1/g_kappa;
gauge_quda[0][quda_idx+2*i] = creal(tmpcplx);
gauge_quda[0][quda_idx+2*i+1] = cimag(tmpcplx);
tmpcplx = gauge_quda[1][quda_idx+2*i] + I*gauge_quda[1][quda_idx+2*i+1];
tmpcplx *= -phase_2/g_kappa;
gauge_quda[1][quda_idx+2*i] = creal(tmpcplx);
gauge_quda[1][quda_idx+2*i+1] = cimag(tmpcplx);
tmpcplx = gauge_quda[2][quda_idx+2*i] + I*gauge_quda[2][quda_idx+2*i+1];
tmpcplx *= -phase_3/g_kappa;
gauge_quda[2][quda_idx+2*i] = creal(tmpcplx);
gauge_quda[2][quda_idx+2*i+1] = cimag(tmpcplx);
tmpcplx = gauge_quda[3][quda_idx+2*i] + I*gauge_quda[3][quda_idx+2*i+1];
tmpcplx *= -phase_0/g_kappa;
gauge_quda[3][quda_idx+2*i] = creal(tmpcplx);
gauge_quda[3][quda_idx+2*i+1] = cimag(tmpcplx);
}
// when compression is not used, we can still force naive anti-periodic boundary conditions
} else {
if ( quda_input.fermionbc == TM_QUDA_APBC && x0+g_proc_coords[0]*T == g_nproc_t*T-1 ) {
for( int i=0; i<18; i++ ) {
gauge_quda[3][quda_idx+i] = -gauge_quda[3][quda_idx+i];
}
} // quda_input.fermionbc
} // if(compression & boundary conditions)
} // volume loop
#ifdef TM_USE_OMP
} // OpenMP parallel closing brace
#endif
tm_stopwatch_pop(&g_timers, 0, 0, "TM_QUDA");
}
void reorder_gauge_fromQuda( const su3 ** const gaugefield, const CompressionType compression ) {
tm_stopwatch_push(&g_timers, __func__, "");
#ifdef TM_USE_OMP
#pragma omp parallel
{
#endif
_Complex double tmpcplx;
size_t gSize = (gauge_param.cpu_prec == QUDA_DOUBLE_PRECISION) ? sizeof(double) : sizeof(float);
// now copy and reorder
#ifdef TM_USE_OMP
#pragma omp for collapse(4)
#endif
for( int x0=0; x0<T; x0++ )
for( int x1=0; x1<LX; x1++ )
for( int x2=0; x2<LY; x2++ )
for( int x3=0; x3<LZ; x3++ ) {
#if USE_LZ_LY_LX_T
int j = x3 + LZ*x2 + LY*LZ*x1 + LX*LY*LZ*x0;
int tm_idx = x1 + LX*x2 + LY*LX*x3 + LZ*LY*LX*x0;
#else
int j = x1 + LX*x2 + LY*LX*x3 + LZ*LY*LX*x0;
int tm_idx = x3 + LZ*x2 + LY*LZ*x1 + LX*LY*LZ*x0;
#endif
int oddBit = (x0+x1+x2+x3) & 1;
int quda_idx = 18*(oddBit*VOLUME/2+j/2);
if( compression == NO_COMPRESSION && quda_input.fermionbc == TM_QUDA_THETABC ) {
// apply theta boundary conditions if compression is not used
for( int i=0; i<9; i++ ) {
tmpcplx = gauge_quda[0][quda_idx+2*i] + I*gauge_quda[0][quda_idx+2*i+1];
tmpcplx *= -g_kappa/phase_1;
gauge_quda[0][quda_idx+2*i] = creal(tmpcplx);
gauge_quda[0][quda_idx+2*i+1] = cimag(tmpcplx);
tmpcplx = gauge_quda[1][quda_idx+2*i] + I*gauge_quda[1][quda_idx+2*i+1];
tmpcplx *= -g_kappa/phase_2;
gauge_quda[1][quda_idx+2*i] = creal(tmpcplx);
gauge_quda[1][quda_idx+2*i+1] = cimag(tmpcplx);
tmpcplx = gauge_quda[2][quda_idx+2*i] + I*gauge_quda[2][quda_idx+2*i+1];
tmpcplx *= -g_kappa/phase_3;
gauge_quda[2][quda_idx+2*i] = creal(tmpcplx);
gauge_quda[2][quda_idx+2*i+1] = cimag(tmpcplx);
tmpcplx = gauge_quda[3][quda_idx+2*i] + I*gauge_quda[3][quda_idx+2*i+1];
tmpcplx *= -g_kappa/phase_0;
gauge_quda[3][quda_idx+2*i] = creal(tmpcplx);
gauge_quda[3][quda_idx+2*i+1] = cimag(tmpcplx);
}
// when compression is not used, we can still force naive anti-periodic boundary conditions
} else {
if ( quda_input.fermionbc == TM_QUDA_APBC && x0+g_proc_coords[0]*T == g_nproc_t*T-1 ) {
for( int i=0; i<18; i++ ) {
gauge_quda[3][quda_idx+i] = -gauge_quda[3][quda_idx+i];
}
} // quda_input.fermionbc
} // if(compression & boundary conditions)
#if USE_LZ_LY_LX_T
memcpy( &(gaugefield[tm_idx][3]), &(gauge_quda[0][quda_idx]), 18*gSize);
memcpy( &(gaugefield[tm_idx][2]), &(gauge_quda[1][quda_idx]), 18*gSize);
memcpy( &(gaugefield[tm_idx][1]), &(gauge_quda[2][quda_idx]), 18*gSize);
memcpy( &(gaugefield[tm_idx][0]), &(gauge_quda[3][quda_idx]), 18*gSize);
#else
memcpy( &(gaugefield[tm_idx][1]), &(gauge_quda[0][quda_idx]), 18*gSize);
memcpy( &(gaugefield[tm_idx][2]), &(gauge_quda[1][quda_idx]), 18*gSize);
memcpy( &(gaugefield[tm_idx][3]), &(gauge_quda[2][quda_idx]), 18*gSize);
memcpy( &(gaugefield[tm_idx][0]), &(gauge_quda[3][quda_idx]), 18*gSize);
#endif
} // volume loop
#ifdef TM_USE_OMP
} // OpenMP parallel closing brace
#endif
tm_stopwatch_pop(&g_timers, 0, 0, "TM_QUDA");
} /* reorder_gauge_fromQuda */
void _loadGaugeQuda( const CompressionType compression ) {
static int first_call = 1;
// check if the currently loaded gauge field is also the current gauge field
// and if so, return immediately
tm_debug_printf(0, 1, "# TM_QUDA: Called _loadGaugeQuda for gauge_id: %f\n", g_gauge_state.gauge_id);
if( inv_param.verbosity > QUDA_SILENT ){
if(g_proc_id == 0) {
if( compression == NO_COMPRESSION ){
if( quda_input.fermionbc == TM_QUDA_THETABC ){
printf("# TM_QUDA: Theta boundary conditions will be applied to gauge field\n");
}
} else {
if( quda_input.fermionbc == TM_QUDA_APBC ){
printf("# TM_QUDA: Temporal ABPC will be applied to gauge field\n");
}
}
}
}
if( check_quda_gauge_state(&quda_gauge_state, g_gauge_state.gauge_id, X1, X2, X3, X0, &gauge_param) ){
return;
} else {
if( first_call ){
first_call = 0;
} else {
freeGaugeQuda();
}
reset_quda_gauge_state(&quda_gauge_state);
}
reorder_gauge_toQuda(g_gauge_field, compression);
tm_stopwatch_push(&g_timers, "loadGaugeQuda", "");
loadGaugeQuda((void*)gauge_quda, &gauge_param);
tm_stopwatch_pop(&g_timers, 0, 0, "TM_QUDA");
set_quda_gauge_state(&quda_gauge_state, g_gauge_state.gauge_id, X1, X2, X3, X0, &gauge_param);
}
void _saveGaugeQuda( const su3 ** const gaugefield, const int savegaugetype, const CompressionType compression ) {
if( !quda_initialized ) {
if(g_proc_id == 0) {
fprintf(stderr, "Error: QUDA must be initialized to call _saveGaugeQuda\n");
exit(2);
}
}
if( !quda_gauge_state.loaded ) {
if(g_proc_id == 0) {
fprintf(stderr, "Error: gauge must be loaded in QUDA\n");
exit(2);
}
}
QudaGaugeParam savegauge_param = newQudaGaugeParam();
savegauge_param = gauge_param;
savegauge_param.location = QUDA_CPU_FIELD_LOCATION;
if(savegaugetype == 0) {
savegauge_param.type = QUDA_WILSON_LINKS;
tm_debug_printf(0, 1, "# TM_QUDA: Called _saveGaugeQuda for gauge type: QUDA_WILSON_LINKS\n");
} else if(savegaugetype == 1) {
savegauge_param.type = QUDA_SMEARED_LINKS;
tm_debug_printf(0, 1, "# TM_QUDA: Called _saveGaugeQuda for gauge type: QUDA_SMEARED_LINKS\n");
} else {
fprintf(stderr, "Error: Invalid gauge type\n");
exit(2);
}
tm_stopwatch_push(&g_timers, "saveGaugeQuda", "");
saveGaugeQuda((void *)gauge_quda, &savegauge_param);
tm_stopwatch_pop(&g_timers, 0, 0, "TM_QUDA");
reorder_gauge_fromQuda(gaugefield, compression);
}
// reorder spinor to QUDA format
void reorder_spinor_toQuda( double* sp, QudaPrecision precision, int doublet ) {
tm_stopwatch_push(&g_timers, __func__, "");
memcpy( tempSpinor, sp, (1+doublet)*VOLUME*24*sizeof(double) );
// now copy and reorder from tempSpinor to spinor
#ifdef TM_USE_OMP
#pragma omp parallel for collapse(4)
#endif
for( int x0=0; x0<T; x0++ )
for( int x1=0; x1<LX; x1++ )
for( int x2=0; x2<LY; x2++ )
for( int x3=0; x3<LZ; x3++ ) {
#if USE_LZ_LY_LX_T
int j = x3 + LZ*x2 + LY*LZ*x1 + LX*LY*LZ*x0;
int tm_idx = x1 + LX*x2 + LY*LX*x3 + LZ*LY*LX*x0;
#else
int j = x1 + LX*x2 + LY*LX*x3 + LZ*LY*LX*x0;
int tm_idx = x3 + LZ*x2 + LY*LZ*x1 + LX*LY*LZ*x0;
#endif
int oddBit = (x0+x1+x2+x3) & 1;
if( doublet ) {
memcpy( &(sp[24*(oddBit*VOLUME+j/2)]), &(tempSpinor[24*tm_idx ]), 24*sizeof(double));
memcpy( &(sp[24*(oddBit*VOLUME+j/2+VOLUME/2)]), &(tempSpinor[24*(tm_idx+VOLUME)]), 24*sizeof(double));
}
else {
memcpy( &(sp[24*(oddBit*VOLUME/2+j/2)]), &(tempSpinor[24*tm_idx]), 24*sizeof(double));
}
}
tm_stopwatch_pop(&g_timers, 0, 0, "TM_QUDA");
}
void _initMomQuda(void) {
static int first_call = 1;
if( first_call ){
first_call = 0;
set_force_gauge_param(&f_gauge_param);
for(int i = 0; i < 4; i++){
mom_quda[i] = (double*)malloc(VOLUME*10*sizeof(double));
mom_quda_reordered[i] = (double*)malloc(VOLUME*10*sizeof(double));
if( (void*)mom_quda[i] == NULL || (void*)mom_quda_reordered[i] == NULL ){
fatal_error("Memory allocation for host momentum field failed!", __func__);
}
}
}
}
void reorder_mom_fromQuda() {
// mom_quda -> mom_quda_reordered
tm_stopwatch_push(&g_timers, __func__, "");
#ifdef TM_USE_OMP
#pragma omp parallel for collapse(4)
#endif
for( int x0=0; x0<T; x0++ )
for( int x1=0; x1<LX; x1++ )
for( int x2=0; x2<LY; x2++ )
for( int x3=0; x3<LZ; x3++ ) {
#if USE_LZ_LY_LX_T
int j = x3 + LZ*x2 + LY*LZ*x1 + LX*LY*LZ*x0;
int tm_idx = x1 + LX*x2 + LY*LX*x3 + LZ*LY*LX*x0;
#else
int j = x1 + LX*x2 + LY*LX*x3 + LZ*LY*LX*x0;
int tm_idx = x3 + LZ*x2 + LY*LZ*x1 + LX*LY*LZ*x0;
#endif
int oddBit = (x0+x1+x2+x3) & 1;
int quda_idx = 10*(oddBit*VOLUME/2+j/2);
tm_idx *= 10;
#if USE_LZ_LY_LX_T
memcpy( &(mom_quda_reordered[3][tm_idx]), &(mom_quda[0][quda_idx]), 10*sizeof(double));
memcpy( &(mom_quda_reordered[2][tm_idx]), &(mom_quda[1][quda_idx]), 10*sizeof(double));
memcpy( &(mom_quda_reordered[1][tm_idx]), &(mom_quda[2][quda_idx]), 10*sizeof(double));
memcpy( &(mom_quda_reordered[0][tm_idx]), &(mom_quda[3][quda_idx]), 10*sizeof(double));
#else
memcpy( &(mom_quda_reordered[1][tm_idx]), &(mom_quda[0][quda_idx]), 10*sizeof(double));
memcpy( &(mom_quda_reordered[2][tm_idx]), &(mom_quda[1][quda_idx]), 10*sizeof(double));
memcpy( &(mom_quda_reordered[3][tm_idx]), &(mom_quda[2][quda_idx]), 10*sizeof(double));
memcpy( &(mom_quda_reordered[0][tm_idx]), &(mom_quda[3][quda_idx]), 10*sizeof(double));
#endif
}
tm_stopwatch_pop(&g_timers, 0, 0, "TM_QUDA");
}
// reorder spinor from QUDA format
void reorder_spinor_fromQuda( double* sp, QudaPrecision precision, int doublet) {
tm_stopwatch_push(&g_timers, __func__, "");
memcpy( tempSpinor, sp, (1+doublet)*VOLUME*24*sizeof(double) );
// now copy and reorder from tempSpinor to spinor
#ifdef TM_USE_OMP
#pragma omp parallel for collapse(4)
#endif
for( int x0=0; x0<T; x0++ )
for( int x1=0; x1<LX; x1++ )
for( int x2=0; x2<LY; x2++ )
for( int x3=0; x3<LZ; x3++ ) {
#if USE_LZ_LY_LX_T
int j = x3 + LZ*x2 + LY*LZ*x1 + LX*LY*LZ*x0;
int tm_idx = x1 + LX*x2 + LY*LX*x3 + LZ*LY*LX*x0;
#else
int j = x1 + LX*x2 + LY*LX*x3 + LZ*LY*LX*x0;
int tm_idx = x3 + LZ*x2 + LY*LZ*x1 + LX*LY*LZ*x0;
#endif
int oddBit = (x0+x1+x2+x3) & 1;
if( doublet ) {
memcpy( &(sp[24*tm_idx]), &(tempSpinor[24*(oddBit*VOLUME+j/2) ]), 24*sizeof(double));
memcpy( &(sp[24*(tm_idx+VOLUME)]), &(tempSpinor[24*(oddBit*VOLUME+j/2+VOLUME/2)]), 24*sizeof(double));
}
else {
memcpy( &(sp[24*tm_idx]), &(tempSpinor[24*(oddBit*VOLUME/2+j/2)]), 24*sizeof(double));
}
}
tm_stopwatch_pop(&g_timers, 0, 0, "TM_QUDA");
}
// reorder spinor to QUDA format
void reorder_spinor_eo_toQuda(double* sp, QudaPrecision precision, int doublet, int odd) {
tm_stopwatch_push(&g_timers, __func__, "");
static const int change_sign[4] = {-1, 1, 1, -1};
static const int change_spin[4] = {3, 2, 1, 0};
const int Vh = VOLUME/2;
memcpy(tempSpinor, sp, (1+doublet)*Vh*24*sizeof(double) );
// now copy and reorder from tempSpinor to spinor
#ifdef TM_USE_OMP
#pragma omp parallel for collapse(4)
#endif
for( int x0=0; x0<T; x0++ )
for( int x1=0; x1<LX; x1++ )
for( int x2=0; x2<LY; x2++ )
for( int x3=0; x3<LZ; x3++ ) {
#if USE_LZ_LY_LX_T
const int q_eo_idx = (x3 + LZ*x2 + LY*LZ*x1 + LX*LY*LZ*x0)/2;
const int tm_eo_idx = (x1 + LX*x2 + LY*LX*x3 + LZ*LY*LX*x0)/2;
#else
const int q_eo_idx = (x1 + LX*x2 + LY*LX*x3 + LZ*LY*LX*x0)/2;
const int tm_eo_idx = (x3 + LZ*x2 + LY*LZ*x1 + LX*LY*LZ*x0)/2;
#endif
const int oddBit = (x0+x1+x2+x3) & 1;
if( oddBit == odd ){
for(int q_spin = 0; q_spin < 4; q_spin++){
const int tm_spin = change_spin[q_spin];
for(int col = 0; col < 3; col++){
for(int reim = 0; reim < 2; reim++){
sp[24*q_eo_idx + 6*q_spin + 2*col + reim] =
change_sign[q_spin] * tempSpinor[24*tm_eo_idx + 6*tm_spin + 2*col + reim];
if(doublet){
sp[24*(q_eo_idx+Vh) + 6*q_spin + 2*col + reim] =
change_sign[q_spin] * tempSpinor[24*(tm_eo_idx+Vh) + 6*tm_spin + 2*col + reim];
}
}
}
}
}
}
tm_stopwatch_pop(&g_timers, 0, 0, "TM_QUDA");
}
// reorder spinor from QUDA format
void reorder_spinor_eo_fromQuda( double* sp, QudaPrecision precision, int doublet, int odd) {
tm_stopwatch_push(&g_timers, __func__, "");
const int change_sign[4] = {-1, 1, 1, -1};
const int change_spin[4] = {3, 2, 1, 0};
const int Vh = VOLUME/2;
memcpy( tempSpinor, sp, (1+doublet)*(VOLUME/2)*24*sizeof(double) );
// now copy and reorder from tempSpinor to spinor
#ifdef TM_USE_OMP
#pragma omp parallel for collapse(4)
#endif
for( int x0=0; x0<T; x0++ )
for( int x1=0; x1<LX; x1++ )
for( int x2=0; x2<LY; x2++ )
for( int x3=0; x3<LZ; x3++ ) {
#if USE_LZ_LY_LX_T
const int q_eo_idx = (x3 + LZ*x2 + LY*LZ*x1 + LX*LY*LZ*x0)/2;
const int tm_eo_idx = (x1 + LX*x2 + LY*LX*x3 + LZ*LY*LX*x0)/2;
#else
const int q_eo_idx = (x1 + LX*x2 + LY*LX*x3 + LZ*LY*LX*x0)/2;
const int tm_eo_idx = (x3 + LZ*x2 + LY*LZ*x1 + LX*LY*LZ*x0)/2;
#endif
const int oddBit = (x0+x1+x2+x3) & 1;
if( oddBit == odd ){
for(int q_spin = 0; q_spin < 4; q_spin++){
const int tm_spin = change_spin[q_spin];
for(int col = 0; col < 3; col++){
for(int reim = 0; reim < 2; reim++){
sp[24*tm_eo_idx + 6*tm_spin + 2*col + reim] =
change_sign[q_spin] * tempSpinor[24*q_eo_idx + 6*q_spin + 2*col + reim];
if(doublet){
sp[24*(tm_eo_idx+Vh) + 6*tm_spin + 2*col + reim] =
change_sign[q_spin] * tempSpinor[24*(q_eo_idx+Vh) + 6*q_spin + 2*col + reim];
}
}
}
}
}
}
tm_stopwatch_pop(&g_timers, 0, 0, "TM_QUDA");
}
void set_boundary_conditions(CompressionType* compression, QudaGaugeParam * gauge_param) {
// we can't have compression and theta-BC, but we will support compression
// for theta_0 = 0.0 or theta_0 = 1.0 (using naive periodic or anti-periodic boundary conditions
// warning the user that the residual check will fail)
if( fabs(X1)>0.0 || fabs(X2)>0.0 || fabs(X3)>0.0 || (fabs(X0) > 2*DBL_EPSILON && fabs(fabs(X0)-1.0) > 2*DBL_EPSILON ) ) {
if( *compression!=NO_COMPRESSION ) {
if(g_proc_id == 0) {
printf("\n# TM_QUDA: WARNING you can't use compression %d with boundary conditions for fermion fields (t,x,y,z)*pi: (%f,%f,%f,%f) \n", *compression,X0,X1,X2,X3);
printf("# TM_QUDA: disabling compression.\n\n");
}
*compression=NO_COMPRESSION;
}
}
QudaReconstructType link_recon = QUDA_RECONSTRUCT_NO;
QudaReconstructType link_recon_sloppy = QUDA_RECONSTRUCT_NO;
if( *compression==NO_COMPRESSION ) {
// without compression, any kind of boundary conditions are supported
// and will be applied to the gauge field as required
if( quda_input.fermionbc != TM_QUDA_APBC ){
gauge_param->t_boundary = QUDA_PERIODIC_T;
} else {
gauge_param->t_boundary = QUDA_ANTI_PERIODIC_T;
}
link_recon = QUDA_RECONSTRUCT_NO;
link_recon_sloppy = QUDA_RECONSTRUCT_NO;
} else {
// if we reach this point with compression (see logic above), theta_0 is either 0.0 or 1.0
// if it is 1.0, we explicitly enabled TM_QUDA_APBC to force simple anti-periodic boundary
// conditions
if( fabs(X0)>0.0 ){
quda_input.fermionbc = TM_QUDA_APBC;
tm_debug_printf(0, 0,
"# TM_QUDA: WARNING You have set temporal theta-BC but gauge compression is enabled. "
"This will be overriden to use naive APBC instead. This works fine, but the residual "
"check on the host (CPU) will fail.\n");
}