/*************************************************************************** edpd_ext.cpp ------------------- Trung Dac Nguyen (U Chicago) Functions for LAMMPS access to edpd acceleration routines. __________________________________________________________________________ This file is part of the LAMMPS Accelerator Library (LAMMPS_AL) __________________________________________________________________________ begin : September 2023 email : ndactrung@gmail.com ***************************************************************************/ #include #include #include #include "lal_edpd.h" using namespace std; using namespace LAMMPS_AL; static EDPD EDPDMF; // --------------------------------------------------------------------------- // Allocate memory on host and device and copy constants to device // --------------------------------------------------------------------------- int edpd_gpu_init(const int ntypes, double **cutsq, double **host_a0, double **host_gamma, double **host_cut, double **host_power, double **host_kappa, double **host_powerT, double **host_cutT, double ***host_sc, double ***host_kc, double *host_mass, double *special_lj, const int power_flag, const int kappa_flag, const int inum, const int nall, const int max_nbors, const int maxspecial, const double cell_size, int &gpu_mode, FILE *screen) { EDPDMF.clear(); gpu_mode=EDPDMF.device->gpu_mode(); double gpu_split=EDPDMF.device->particle_split(); int first_gpu=EDPDMF.device->first_device(); int last_gpu=EDPDMF.device->last_device(); int world_me=EDPDMF.device->world_me(); int gpu_rank=EDPDMF.device->gpu_rank(); int procs_per_gpu=EDPDMF.device->procs_per_gpu(); EDPDMF.device->init_message(screen,"edpd",first_gpu,last_gpu); bool message=false; if (EDPDMF.device->replica_me()==0 && screen) message=true; if (message) { fprintf(screen,"Initializing Device and compiling on process 0..."); fflush(screen); } int init_ok=0; if (world_me==0) init_ok=EDPDMF.init(ntypes, cutsq, host_a0, host_gamma, host_cut, host_power, host_kappa, host_powerT, host_cutT, host_sc, host_kc, host_mass, special_lj, power_flag, kappa_flag, inum, nall, max_nbors, maxspecial, cell_size, gpu_split, screen); EDPDMF.device->world_barrier(); if (message) fprintf(screen,"Done.\n"); for (int i=0; iserialize_init(); if (message) fprintf(screen,"Done.\n"); } if (message) fprintf(screen,"\n"); if (init_ok==0) EDPDMF.estimate_gpu_overhead(); return init_ok; } void edpd_gpu_clear() { EDPDMF.clear(); } int ** edpd_gpu_compute_n(const int ago, const int inum_full, const int nall, double **host_x, int *host_type, double *sublo, double *subhi, tagint *tag, int **nspecial, tagint **special, const bool eflag, const bool vflag, const bool eatom, const bool vatom, int &host_start, int **ilist, int **jnum, const double cpu_time, bool &success, double **host_v, const double dtinvsqrt, const int seed, const int timestep, double *boxlo, double *prd) { return EDPDMF.compute(ago, inum_full, nall, host_x, host_type, sublo, subhi, tag, nspecial, special, eflag, vflag, eatom, vatom, host_start, ilist, jnum, cpu_time, success, host_v, dtinvsqrt, seed, timestep, boxlo, prd); } void edpd_gpu_compute(const int ago, const int inum_full, const int nall, double **host_x, int *host_type, int *ilist, int *numj, int **firstneigh, const bool eflag, const bool vflag, const bool eatom, const bool vatom, int &host_start, const double cpu_time, bool &success, tagint *tag, double **host_v, const double dtinvsqrt, const int seed, const int timestep, const int nlocal, double *boxlo, double *prd) { EDPDMF.compute(ago, inum_full, nall, host_x, host_type, ilist, numj, firstneigh, eflag, vflag, eatom, vatom, host_start, cpu_time, success, tag, host_v, dtinvsqrt, seed, timestep, nlocal, boxlo, prd); } void edpd_gpu_get_extra_data(double *host_T, double *host_cv) { EDPDMF.get_extra_data(host_T, host_cv); } void edpd_gpu_update_flux(void **flux_ptr) { EDPDMF.update_flux(flux_ptr); } double edpd_gpu_bytes() { return EDPDMF.host_memory_usage(); }