abacus-develop/source/source_base/memory.cpp at develop · AroundPeking/abacus-develop · GitHub

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//==========================================================

// AUTHOR : mohan

// DATE : 2008-11-18

//==========================================================

#include <cassert>

#include "memory.h"

#include "global_variable.h"

#include "source_base/parallel_reduce.h"

namespace ModuleBase

{

// 8 bit = 1 Byte

// 1024 Byte = 1 KB

// 1024 KB = 1 MB

// 1024 MB = 1 GB

double Memory::total = 0.0;

int Memory::complex_matrix_memory = 2*sizeof(double); // 16 byte

int Memory::double_memory = sizeof(double); // 8 byte

int Memory::int_memory = sizeof(int); // 4.0 Byte

int Memory::bool_memory = sizeof(bool); // 1.0 Byte

int Memory::float_memory = sizeof(float); // 4.0 Byte

int Memory::short_memory = sizeof(short); // 2.0 Byte

int Memory::n_memory = 1000;

int Memory::n_now = 0;

bool Memory::init_flag = false;

#if defined(__CUDA) || defined(__ROCM)

double Memory::total_gpu = 0.0;

int Memory::n_now_gpu = 0;

bool Memory::init_flag_gpu = false;

std::string *Memory::name_gpu;

std::string *Memory::class_name_gpu;

double *Memory::consume_gpu;

#endif

std::string *Memory::name;

std::string *Memory::class_name;

double *Memory::consume;

Memory::Memory()

{

}

Memory::~Memory()

{

}

double Memory::calculate_mem(const long &n_in,const std::string &type)

{

double n = static_cast<double>(n_in);

double mem = 0.0;

double factor = 1.0/1024.0/1024.0;

double complex_matrix_mem = complex_matrix_memory * factor;

double double_mem = double_memory * factor;

double int_mem = int_memory * factor;

double bool_mem = bool_memory * factor;

double float_mem = float_memory * factor;

double short_mem = short_memory * factor;

if(type=="ModuleBase::ComplexMatrix" || type=="complexmatrix" || type=="cdouble")

{

mem = complex_matrix_mem;

}

else if(type=="real" || type=="double")

{

mem = double_mem;

}

else if(type=="int")

{

mem = int_mem;

}

else if(type=="bool")

{

mem = bool_mem;

}

else if(type=="short")

{

mem = short_mem;

}

else if(type=="float")

{

mem = float_mem;

}

else if(type=="AtomLink")

{

mem = int_mem * 2 + double_mem * 3;

}

else if(type=="ModuleBase::Vector3<double>")

{

mem = 3 * double_mem;

}

else

{

std::cout<<"not this type in memory storage : "<<type << std::endl;

}

total += n * mem;

return n*mem;

}

double Memory::record

(

const std::string &class_name_in,

const std::string &name_in,

const long &n_in,

const std::string &type,

const bool accumulate

)

{

if(!Memory::init_flag)

{

name = new std::string[n_memory];

class_name = new std::string[n_memory];

consume = new double[n_memory];

for(int i=0;i<n_memory;i++)

{

consume[i] = 0.0;

}

Memory::init_flag = true;

}

int find = 0;

for(find = 0; find < n_now; find++)

{

if( name_in == name[find] )

{

break;

}

// find == n_now : found a new record.

if(find == n_now)

{

n_now++;

name[find] = name_in;

class_name[find] = class_name_in;

}

if(n_now >= n_memory)

{

std::cout<<" Error! Too many memories required.";

return 0.0;

}

consume[find] = Memory::calculate_mem(n_in,type);

if(consume[find] > 5)

{

print(find);

}

return consume[find];

}

void Memory::record

(

const std::string &name_in,

const long &n_in,

const bool accumulate

)

{

if(!Memory::init_flag)

{

name = new std::string[n_memory];

class_name = new std::string[n_memory];

consume = new double[n_memory];

for(int i=0;i<n_memory;i++)

{

consume[i] = 0.0;

}

Memory::init_flag = true;

}

int find = 0;

for(find = 0; find < n_now; find++)

{

if( name_in == name[find] )

{

break;

}

// find == n_now : found a new record.

if(find == n_now)

{

n_now++;

name[find] = name_in;

class_name[find] = "";

}

if(n_now >= n_memory)

{

std::cout<<" Error! Too many memories has been recorded.";

return;

}

const double factor = 1.0/1024.0/1024.0;

double size_mb = n_in * factor;

if(accumulate)

{

consume[find] += size_mb;

Memory::total += size_mb;

}

else

{

if(consume[find] < size_mb)

{

Memory::total += size_mb - consume[find];

consume[find] = size_mb;

if(consume[find] > 5)

{

print(find);

}

return;

}

#if defined(__CUDA) || defined(__ROCM)

double Memory::record_gpu

(

const std::string &class_name_in,

const std::string &name_in,

const long &n_in,

const std::string &type,

const bool accumulate

)

{

if(!Memory::init_flag_gpu)

{

name_gpu = new std::string[n_memory];

class_name_gpu = new std::string[n_memory];

consume_gpu = new double[n_memory];

for(int i=0;i<n_memory;i++)

{

consume_gpu[i] = 0.0;

}

Memory::init_flag_gpu = true;

}

int find = 0;

for(find = 0; find < n_now_gpu; find++)

{

if( name_in == name_gpu[find] )

{

break;

}

// find == n_now : found a new record.

if(find == n_now_gpu)

{

n_now_gpu++;

name_gpu[find] = name_in;

class_name_gpu[find] = class_name_in;

}

if(n_now_gpu >= n_memory)

{

std::cout<<" Error! Too many gpu memories required.";

return 0.0;

}

consume_gpu[find] = Memory::calculate_mem(n_in,type);

if(consume_gpu[find] > 5)

{

print(find);

}

return consume_gpu[find];

}

void Memory::record_gpu

(

const std::string &name_in,

const size_t &n_in,

const bool accumulate

)

{

if(!Memory::init_flag_gpu)

{

name_gpu = new std::string[n_memory];

class_name_gpu = new std::string[n_memory];

consume_gpu = new double[n_memory];

for(int i=0;i<n_memory;i++)

{

consume_gpu[i] = 0.0;

}

Memory::init_flag_gpu = true;

}

int find = 0;

for(find = 0; find < n_now_gpu; find++)

{

if( name_in == name_gpu[find] )

{

break;

}

// find == n_now : found a new record.

if(find == n_now_gpu)

{

n_now_gpu++;

name_gpu[find] = name_in;

class_name_gpu[find] = "";

}

if(n_now_gpu >= n_memory)

{

std::cout<<" Error! Too many gpu memories has been recorded.";

return;

}

const double factor = 1.0/1024.0/1024.0;

double size_mb = n_in * factor;

if(accumulate)

{

consume_gpu[find] += size_mb;

Memory::total_gpu += size_mb;

}

else

{

if(consume_gpu[find] < size_mb)

{

Memory::total_gpu += size_mb - consume_gpu[find];

consume_gpu[find] = size_mb;

if(consume_gpu[find] > 5)

{

print(find);

}

return;

}

#endif

void Memory::print(const int find)

{

GlobalV::ofs_running <<"\n Warning_Memory_Consuming allocated: "

<<" "<<name[find]<<" "<<consume[find]<<" MB" << std::endl;

return;

}

void Memory::finish(std::ofstream &ofs)

{

print_all(ofs);

if(init_flag)

{

delete[] name;

delete[] class_name;

delete[] consume;

init_flag = false;

}

#if defined(__CUDA) || defined(__ROCM)

if(init_flag_gpu)

{

delete[] name_gpu;

delete[] class_name_gpu;

delete[] consume_gpu;

init_flag_gpu = false;

}

#endif

return;

}

void Memory::print_all(std::ofstream &ofs)

{

if(!init_flag)

{

return;

}

const double small = 1.0; // unit is MB

#ifdef __MPI

Parallel_Reduce::reduce_all(Memory::total);

#if defined(__CUDA) || defined(__ROCM)

Parallel_Reduce::reduce_all(Memory::total_gpu);

#endif

ofs <<"\n NAME-------------------------|MEMORY(MB)------------------" << std::endl;

ofs << std::right;

ofs << std::setw(30)<< "total" << std::setw(15) <<std::setprecision(4)<< Memory::total << std::endl;

assert(n_memory>0);

bool *print_flag = new bool[n_memory];

for(int i=0; i<n_memory; i++)

{

print_flag[i] = false;

}

for (int i=0; i<n_memory; i++)

{

#ifdef __MPI

Parallel_Reduce::reduce_all(consume[i]);

#endif

}

for (int i=0; i<n_memory; i++) // Xiaoyang fix memory record sum bug 2023/10/25

{

int k = 0;

double tmp = -1.0;

for(int j=0; j<n_memory; j++)

{

if(print_flag[j])

{

continue;

}

else if(tmp < consume[j])

{

k = j;

tmp = consume[j];

}

print_flag[k] = true;

if ( consume[k] < small )

{

continue;

}

else

{

ofs << std::setw(30) << name[k]

<< std::setw(15) << consume[k] << std::endl;

}

#if defined(__CUDA) || defined(__ROCM)

if(!init_flag_gpu)

{

delete[] print_flag;

return;

}

ofs <<"\n NAME-------------------------|GPU MEMORY(MB)--------------" << std::endl;

ofs <<std::setw(30)<< "total" << std::setw(15) <<std::setprecision(4)<< Memory::total_gpu << std::endl;

assert(n_memory>0);

bool *print_flag_gpu = new bool[n_memory];

for(int i=0; i<n_memory; i++)

{

print_flag_gpu[i] = false;

}

for (int i=0; i<n_memory; i++)

{

#ifdef __MPI

Parallel_Reduce::reduce_all(consume_gpu[i]);

#endif

}

for (int i=0; i<n_memory; i++) // Xiaoyang fix memory record sum bug 2023/10/25

{

int k = 0;

double tmp = -1.0;

for(int j=0; j<n_memory; j++)

{

if(print_flag_gpu[j])

{

continue;

}

else if(tmp < consume_gpu[j])

{

k = j;

tmp = consume_gpu[j];

}

print_flag_gpu[k] = true;

if ( consume_gpu[k] < small )

{

continue;

}

else

{

ofs << std::setw(30) << name_gpu[k]

<< std::setw(15) << consume_gpu[k] << std::endl;

}

delete[] print_flag_gpu;

#endif

ofs<<" ------------- < 1.0 MB has been ignored ----------------"<<std::endl;

ofs<<" ----------------------------------------------------------"<<std::endl;

delete[] print_flag; //mohan fix by valgrind at 2012-04-02

return;

}

abacus-develop/source/source_base/memory.cpp at develop · AroundPeking/abacus-develop · GitHub

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