forked from lijiext/lammps
141 lines
4.9 KiB
Plaintext
141 lines
4.9 KiB
Plaintext
/***************************************************************************
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gb_gpu_memory.cu
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-------------------
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W. Michael Brown
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Global variables for GPU Gayberne Library
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__________________________________________________________________________
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This file is part of the LAMMPS GPU Library
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__________________________________________________________________________
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begin : Thu Jun 25 2009
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copyright : (C) 2009 by W. Michael Brown
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email : wmbrown@sandia.gov
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***************************************************************************/
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/* -----------------------------------------------------------------------
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Copyright (2009) Sandia Corporation. Under the terms of Contract
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DE-AC04-94AL85000 with Sandia Corporation, the U.S. Government retains
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certain rights in this software. This software is distributed under
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the GNU General Public License.
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----------------------------------------------------------------------- */
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#include "gb_gpu_memory.h"
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#define GB_GPU_MemoryT GB_GPU_Memory<numtyp, acctyp>
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template <class numtyp, class acctyp>
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GB_GPU_MemoryT::GB_GPU_Memory() : LJ_GPU_MemoryT() {
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this->atom.atom_fields(8);
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this->atom.ans_fields(13);
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this->nbor.packing(true);
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}
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template <class numtyp, class acctyp>
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GB_GPU_MemoryT::~GB_GPU_Memory() {
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clear();
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}
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template <class numtyp, class acctyp>
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bool GB_GPU_MemoryT::init(const int ij_size, const int ntypes,
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const double gamma, const double upsilon,
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const double mu, double **host_shape,
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double **host_well, double **host_cutsq,
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double **host_sigma, double **host_epsilon,
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double *host_lshape, int **h_form, double **host_lj1,
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double **host_lj2, double **host_lj3,
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double **host_lj4, double **host_offset,
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double *host_special_lj, const int max_nbors,
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const bool force_d, const int me) {
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if (this->allocated)
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clear();
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bool p=LJ_GPU_MemoryT::init(ij_size,ntypes,host_cutsq,host_sigma,host_epsilon,
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host_lj1, host_lj2, host_lj3, host_lj4,
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host_offset, host_special_lj, max_nbors, me);
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if (!p)
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return false;
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host_form=h_form;
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// Initialize timers for the selected GPU
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time_kernel.init();
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time_gayberne.init();
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time_kernel2.init();
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time_gayberne2.init();
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// Use the write buffer from atom for data initialization
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NVC_HostT &host_write=this->atom.host_write;
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assert(host_write.numel()>4 && host_write.numel()>ntypes*ntypes*2);
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// Allocate, cast and asynchronous memcpy of constant data
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gamma_upsilon_mu.safe_alloc(3);
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host_write[0]=static_cast<numtyp>(gamma);
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host_write[1]=static_cast<numtyp>(upsilon);
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host_write[2]=static_cast<numtyp>(mu);
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gamma_upsilon_mu.copy_from_host(host_write.begin());
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lshape.safe_alloc(ntypes,lshape_get_texture<numtyp>());
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lshape.cast_copy(host_lshape,host_write);
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lshape.copy_from_host(host_write.begin());
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// Copy shape, well, sigma, epsilon, and cutsq onto GPU
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shape.safe_alloc(ntypes,3,shape_get_texture<numtyp>());
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shape.cast_copy(host_shape[0],host_write);
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well.safe_alloc(ntypes,3,well_get_texture<numtyp>());
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well.cast_copy(host_well[0],host_write);
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// Copy LJ data onto GPU
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int lj_types=ntypes;
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if (lj_types<=MAX_SHARED_TYPES)
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lj_types=MAX_SHARED_TYPES;
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form.safe_alloc(lj_types,lj_types,form_get_texture());
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form.copy_2Dfrom_host(host_form[0],ntypes,ntypes);
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// See if we want fast GB-sphere or sphere-sphere calculations
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multiple_forms=false;
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for (int i=1; i<ntypes; i++)
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for (int j=i; j<ntypes; j++)
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if (host_form[i][j]!=ELLIPSE_ELLIPSE)
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multiple_forms=true;
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// Memory for ilist ordered by particle type
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host_olist.safe_alloc_rw(this->max_atoms);
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return true;
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}
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template <class numtyp, class acctyp>
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void GB_GPU_MemoryT::clear() {
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if (!this->allocated)
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return;
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int err_flag;
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this->dev_error.copy_to_host(&err_flag);
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if (err_flag == 1)
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std::cerr << "COLLISION BUFFER OVERFLOW OCCURED. INCREASE COLLISION_N "
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<< "and RECOMPILE.\n";
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else if (err_flag == 2)
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std::cerr << "BAD MATRIX INVERSION IN FORCE COMPUTATION.\n";
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LJ_GPU_MemoryT::clear();
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lshape.unbind();
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shape.clear();
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well.clear();
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form.clear();
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lshape.clear();
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gamma_upsilon_mu.clear();
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host_olist.clear();
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}
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template <class numtyp, class acctyp>
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double GB_GPU_MemoryT::host_memory_usage() {
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return this->atom.host_memory_usage(this->max_atoms)+
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this->nbor.host_memory_usage()+4*sizeof(numtyp)+
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sizeof(GB_GPU_Memory<numtyp,acctyp>)+this->max_atoms*sizeof(int);
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}
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template class GB_GPU_Memory<PRECISION,ACC_PRECISION>;
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