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cm.cu
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cm.cu
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/*
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include <cctype>
#include <functional>
#include <numeric>
#include "cm.h"
#include "atof.h"
#include "compress.cu"
#ifdef _WIN64
#define atoll(S) _atoi64(S)
#endif
using namespace std;
using namespace thrust::placeholders;
unsigned long long int total_count = 0;
unsigned int total_segments = 0;
unsigned int total_max;
unsigned int process_count;
map <unsigned int, unsigned int> str_offset;
long long int totalRecs = 0;
bool fact_file_loaded = 0;
char map_check;
void* d_v = NULL;
void* s_v = NULL;
unsigned int oldCount;
queue<string> op_type;
queue<string> op_value;
queue<int_type> op_nums;
queue<float_type> op_nums_f;
queue<string> col_aliases;
void* alloced_tmp;
unsigned int alloced_sz = 0;
bool alloced_switch = 0;
map<string,CudaSet*> varNames; // STL map to manage CudaSet variables
map<string,string> setMap; //map to keep track of column names and set names
struct is_match
{
__host__ __device__
bool operator()(unsigned int x)
{
return x != 4294967295;
}
};
struct f_equal_to
{
__host__ __device__
bool operator()(const float_type x, const float_type y)
{
return (((x-y) < EPSILON) && ((x-y) > -EPSILON));
}
};
struct f_less
{
__host__ __device__
bool operator()(const float_type x, const float_type y)
{
return ((y-x) > EPSILON);
}
};
struct f_greater
{
__host__ __device__
bool operator()(const float_type x, const float_type y)
{
return ((x-y) > EPSILON);
}
};
struct f_greater_equal_to
{
__host__ __device__
bool operator()(const float_type x, const float_type y)
{
return (((x-y) > EPSILON) || (((x-y) < EPSILON) && ((x-y) > -EPSILON)));
}
};
struct f_less_equal
{
__host__ __device__
bool operator()(const float_type x, const float_type y)
{
return (((y-x) > EPSILON) || (((x-y) < EPSILON) && ((x-y) > -EPSILON)));
}
};
struct f_not_equal_to
{
__host__ __device__
bool operator()(const float_type x, const float_type y)
{
return !(((x-y) < EPSILON) && ((x-y) > -EPSILON));
}
};
struct long_to_float_type
{
__host__ __device__
float_type operator()(const int_type x)
{
return (float_type)x;
}
};
struct l_to_ui
{
__host__ __device__
float_type operator()(const int_type x)
{
return (unsigned int)x;
}
};
struct float_to_decimal
{
__host__ __device__
float_type operator()(const float_type x)
{
return (int_type)(x*100);
}
};
struct to_zero
{
__host__ __device__
bool operator()(const int_type x)
{
if(x == -1)
return 0;
else
return 1;
}
};
struct div_long_to_float_type
{
__host__ __device__
float_type operator()(const int_type x, const float_type y)
{
return (float_type)x/y;
}
};
struct long_to_float
{
__host__ __device__
float_type operator()(const long long int x)
{
return (((float_type)x)/100.0);
}
};
struct Uint2Sum
{
__host__ __device__ uint2 operator()(uint2& a, uint2& b)
{
//a.x += b.x;
a.y += b.y;
return a;
}
};
struct uint2_split
{
const uint2* d_res;
unsigned int * output;
uint2_split(const uint2* _d_res, unsigned int * _output):
d_res(_d_res), output(_output) {}
template <typename IndexType>
__host__ __device__
void operator()(const IndexType & i) {
output[i] = d_res[i].y;
}
};
// trim from start
static inline std::string <rim(std::string &s) {
s.erase(s.begin(), std::find_if(s.begin(), s.end(), std::not1(std::ptr_fun<int, int>(std::isspace))));
return s;
}
// trim from end
static inline std::string &rtrim(std::string &s) {
s.erase(std::find_if(s.rbegin(), s.rend(), std::not1(std::ptr_fun<int, int>(std::isspace))).base(), s.end());
return s;
}
// trim from both ends
static inline std::string &trim(std::string &s) {
return ltrim(rtrim(s));
}
void allocColumns(CudaSet* a, queue<string> fields);
void copyColumns(CudaSet* a, queue<string> fields, unsigned int segment, unsigned int& count);
void mygather(unsigned int tindex, unsigned int idx, CudaSet* a, CudaSet* t, unsigned int count, unsigned int g_size);
void mycopy(unsigned int tindex, unsigned int idx, CudaSet* a, CudaSet* t, unsigned int count, unsigned int g_size);
void write_compressed_char(string file_name, unsigned int index, unsigned int mCount);
unsigned int largest_prm(CudaSet* a);
unsigned int max_tmp(CudaSet* a);
unsigned int curr_segment = 10000000;
size_t getFreeMem();
char zone_map_check(queue<string> op_type, queue<string> op_value, queue<int_type> op_nums,queue<float_type> op_nums_f, CudaSet* a, unsigned int segment);
CudaSet::CudaSet(queue<string> &nameRef, queue<string> &typeRef, queue<int> &sizeRef, queue<int> &colsRef, int_type Recs)
: mColumnCount(0), mRecCount(0)
{
initialize(nameRef, typeRef, sizeRef, colsRef, Recs);
keep = false;
partial_load = 0;
source = 1;
text_source = 1;
grp = NULL;
};
CudaSet::CudaSet(queue<string> &nameRef, queue<string> &typeRef, queue<int> &sizeRef, queue<int> &colsRef, int_type Recs, char* file_name)
: mColumnCount(0), mRecCount(0)
{
initialize(nameRef, typeRef, sizeRef, colsRef, Recs, file_name);
keep = false;
partial_load = 1;
source = 1;
text_source = 0;
grp = NULL;
};
CudaSet::CudaSet(unsigned int RecordCount, unsigned int ColumnCount)
{
initialize(RecordCount, ColumnCount);
keep = false;
partial_load = 0;
source = 0;
text_source = 0;
grp = NULL;
};
CudaSet::CudaSet(CudaSet* a, CudaSet* b, int_type Recs, queue<string> op_sel, queue<string> op_sel_as)
{
initialize(a,b,Recs, op_sel, op_sel_as);
keep = false;
partial_load = 0;
source = 0;
text_source = 0;
grp = NULL;
};
CudaSet::~CudaSet()
{
free();
};
void CudaSet::allocColumnOnDevice(unsigned int colIndex, unsigned int RecordCount)
{
if (type[colIndex] == 0) {
d_columns_int[type_index[colIndex]].resize(RecordCount);
}
else if (type[colIndex] == 1)
d_columns_float[type_index[colIndex]].resize(RecordCount);
else {
void* d;
cudaMalloc(&d, char_size[type_index[colIndex]]*RecordCount);
d_columns_char[type_index[colIndex]] = (char*)d;
};
};
void CudaSet::decompress_char_hash(unsigned int colIndex, unsigned int segment, unsigned int i_cnt)
{
unsigned int bits_encoded, fit_count, sz, vals_count, real_count, old_count;
const unsigned int len = char_size[type_index[colIndex]];
char f1[100];
strcpy(f1, load_file_name);
strcat(f1,".");
char col_pos[3];
itoaa(cols[colIndex],col_pos);
strcat(f1,col_pos);
strcat(f1,".");
itoaa(segment,col_pos);
strcat(f1,col_pos);
FILE* f;
f = fopen (f1 , "rb" );
fread(&sz, 4, 1, f);
char* d_array = new char[sz*len];
fread((void*)d_array, sz*len, 1, f);
unsigned long long int* hashes = new unsigned long long int[sz];
for(unsigned int i = 0; i < sz ; i++) {
hashes[i] = MurmurHash64A(&d_array[i*len], len, hash_seed); // divide by 2 so it will fit into a signed long long
};
void* d;
cudaMalloc((void **) &d, sz*int_size);
cudaMemcpy( d, (void *) hashes, sz*8, cudaMemcpyHostToDevice);
thrust::device_ptr<unsigned long long int> dd_int((unsigned long long int*)d);
delete[] d_array;
delete[] hashes;
fread(&fit_count, 4, 1, f);
fread(&bits_encoded, 4, 1, f);
fread(&vals_count, 4, 1, f);
fread(&real_count, 4, 1, f);
unsigned long long int* int_array = new unsigned long long int[vals_count];
fread((void*)int_array, 1, vals_count*8, f);
fclose(f);
void* d_val;
cudaMalloc((void **) &d_val, vals_count*8);
cudaMemcpy(d_val, (void *) int_array, vals_count*8, cudaMemcpyHostToDevice);
thrust::device_ptr<unsigned long long int> mval((unsigned long long int*)d_val);
delete[] int_array;
void* d_int;
cudaMalloc((void **) &d_int, real_count*4);
// convert bits to ints and then do gather
void* d_v;
cudaMalloc((void **) &d_v, 8);
thrust::device_ptr<unsigned int> dd_v((unsigned int*)d_v);
dd_v[1] = fit_count;
dd_v[0] = bits_encoded;
thrust::counting_iterator<unsigned int> begin(0);
decompress_functor_str ff((unsigned long long int*)d_val,(unsigned int*)d_int, (unsigned int*)d_v);
thrust::for_each(begin, begin + real_count, ff);
//thrust::device_ptr<long long int> dd_int((long long int*)d);
thrust::device_ptr<unsigned int> dd_val((unsigned int*)d_int);
if(!prm.empty()) {
if(prm_index[segment] == 'R') {
thrust::device_ptr<int_type> d_tmp = thrust::device_malloc<int_type>(real_count);
thrust::gather(dd_val, dd_val + real_count, dd_int, d_tmp);
if(prm_d.size() == 0) // find the largest prm segment
prm_d.resize(largest_prm(this));
cudaMemcpy((void**)(thrust::raw_pointer_cast(prm_d.data())), (void**)prm[segment],
4*prm_count[segment], cudaMemcpyHostToDevice);
old_count = d_columns_int[i_cnt].size();
d_columns_int[i_cnt].resize(old_count + prm_count[segment]);
thrust::gather(prm_d.begin(), prm_d.begin() + prm_count[segment], d_tmp, d_columns_int[i_cnt].begin() + old_count);
thrust::device_free(d_tmp);
}
else if(prm_index[segment] == 'A') {
old_count = d_columns_int[i_cnt].size();
d_columns_int[i_cnt].resize(old_count + real_count);
thrust::gather(dd_val, dd_val + real_count, dd_int, d_columns_int[i_cnt].begin() + old_count);
}
}
else {
old_count = d_columns_int[i_cnt].size();
d_columns_int[i_cnt].resize(old_count + real_count);
thrust::gather(dd_val, dd_val + real_count, dd_int, d_columns_int[i_cnt].begin() + old_count);
};
cudaFree(d);
cudaFree(d_val);
cudaFree(d_v);
cudaFree(d_int);
};
bool CudaSet::isUnique(unsigned int colIndex) // run only on already sorted columns
{
if (not_compressed)
uniqueColumns[colIndex] = 0;
if (uniqueColumns.find(colIndex) == uniqueColumns.end()) {
if(mRecCount == 1 )
uniqueColumns[colIndex] = 1;
else {
thrust::device_ptr<unsigned int> d_group = thrust::device_malloc<unsigned int>(mRecCount-1);
thrust::transform(d_columns_int[type_index[colIndex]].begin(), d_columns_int[type_index[colIndex]].begin() + mRecCount - 1,
d_columns_int[type_index[colIndex]].begin()+1, d_group, thrust::not_equal_to<int_type>());
unsigned int grp_count = thrust::reduce(d_group, d_group+mRecCount-1);
if(grp_count == mRecCount-1)
uniqueColumns[colIndex] = 1;
else
uniqueColumns[colIndex] = 0;
};
};
return uniqueColumns[colIndex];
};
// takes a char column , hashes strings, copies them to a gpu
void CudaSet::add_hashed_strings(string field, unsigned int segment, unsigned int i_cnt)
{
unsigned int colInd2 = columnNames.find(field)->second;
CudaSet *t = varNames[setMap[field]];
if(not_compressed) { // decompressed strings on a host
unsigned int old_count;
unsigned long long int* hashes = new unsigned long long int[t->mRecCount];
for(unsigned int i = 0; i < t->mRecCount ; i++)
hashes[i] = MurmurHash64A(t->h_columns_char[t->type_index[colInd2]] + i*t->char_size[t->type_index[colInd2]], t->char_size[t->type_index[colInd2]], hash_seed);
if(!prm.empty()) {
if(prm_index[segment] == 'R') {
thrust::device_ptr<unsigned long long int> d_tmp = thrust::device_malloc<unsigned long long int>(t->mRecCount);
thrust::copy(hashes, hashes+mRecCount, d_tmp);
if(prm_d.size() == 0) // find the largest prm segment
prm_d.resize(largest_prm(this));
cudaMemcpy((void**)(thrust::raw_pointer_cast(prm_d.data())), (void**)prm[segment],
4*prm_count[segment], cudaMemcpyHostToDevice);
old_count = d_columns_int[i_cnt].size();
d_columns_int[i_cnt].resize(old_count + prm_count[segment]);
thrust::gather(prm_d.begin(), prm_d.begin() + prm_count[segment], d_tmp, d_columns_int[i_cnt].begin() + old_count);
thrust::device_free(d_tmp);
}
else if(prm_index[segment] == 'A') {
old_count = d_columns_int[i_cnt].size();
d_columns_int[i_cnt].resize(old_count + mRecCount);
thrust::copy(hashes, hashes + mRecCount, d_columns_int[i_cnt].begin() + old_count);
}
}
else {
old_count = d_columns_int[i_cnt].size();
d_columns_int[i_cnt].resize(old_count + mRecCount);
thrust::copy(hashes, hashes + mRecCount, d_columns_int[i_cnt].begin() + old_count);
}
}
else { // hash the dictionary
decompress_char_hash(colInd2, segment, i_cnt);
};
};
void CudaSet::resize(unsigned int addRecs)
{
mRecCount = mRecCount + addRecs;
for(unsigned int i=0; i <mColumnCount; i++) {
if(type[i] == 0) {
h_columns_int[type_index[i]].resize(mRecCount);
}
else if(type[i] == 1) {
h_columns_float[type_index[i]].resize(mRecCount);
}
else {
if (h_columns_char[type_index[i]]) {
if (mRecCount > prealloc_char_size) {
prealloc_char_size = mRecCount;
h_columns_char[type_index[i]] = (char*)realloc(h_columns_char[type_index[i]], mRecCount*char_size[type_index[i]]);
};
}
else {
h_columns_char[type_index[i]] = new char[mRecCount*char_size[type_index[i]]];
};
};
};
};
void CudaSet::reserve(unsigned int Recs)
{
for(unsigned int i=0; i <mColumnCount; i++) {
if(type[i] == 0)
h_columns_int[type_index[i]].reserve(Recs);
else if(type[i] == 1)
h_columns_float[type_index[i]].reserve(Recs);
else {
h_columns_char[type_index[i]] = new char[Recs*char_size[type_index[i]]];
prealloc_char_size = Recs;
};
};
};
void CudaSet::deAllocColumnOnDevice(unsigned int colIndex)
{
if (type[colIndex] == 0 && !d_columns_int.empty()) {
d_columns_int[type_index[colIndex]].resize(0);
d_columns_int[type_index[colIndex]].shrink_to_fit();
}
else if (type[colIndex] == 1 && !d_columns_float.empty()) {
d_columns_float[type_index[colIndex]].resize(0);
d_columns_float[type_index[colIndex]].shrink_to_fit();
}
else if (type[colIndex] == 2 && d_columns_char[type_index[colIndex]] != NULL) {
cudaFree(d_columns_char[type_index[colIndex]]);
d_columns_char[type_index[colIndex]] = NULL;
};
};
void CudaSet::allocOnDevice(unsigned int RecordCount)
{
for(unsigned int i=0; i < mColumnCount; i++)
allocColumnOnDevice(i, RecordCount);
};
void CudaSet::deAllocOnDevice()
{
for(unsigned int i=0; i <mColumnCount; i++)
deAllocColumnOnDevice(i);
if(!columnGroups.empty() && mRecCount !=0) {
cudaFree(grp);
grp = NULL;
};
if(!prm.empty()) { // free the sources
string some_field;
map<string,int>::iterator it=columnNames.begin();
some_field = (*it).first;
if(setMap[some_field].compare(name)) {
CudaSet* t = varNames[setMap[some_field]];
t->deAllocOnDevice();
};
};
};
void CudaSet::resizeDeviceColumn(unsigned int RecCount, unsigned int colIndex)
{
if (RecCount) {
if (type[colIndex] == 0)
d_columns_int[type_index[colIndex]].resize(mRecCount+RecCount);
else if (type[colIndex] == 1)
d_columns_float[type_index[colIndex]].resize(mRecCount+RecCount);
else {
if (d_columns_char[type_index[colIndex]] != NULL)
cudaFree(d_columns_char[type_index[colIndex]]);
void *d;
cudaMalloc((void **) &d, (mRecCount+RecCount)*char_size[type_index[colIndex]]);
d_columns_char[type_index[colIndex]] = (char*)d;
};
};
};
void CudaSet::resizeDevice(unsigned int RecCount)
{
if (RecCount)
for(unsigned int i=0; i < mColumnCount; i++)
resizeDeviceColumn(RecCount, i);
};
bool CudaSet::onDevice(unsigned int i)
{
unsigned j = type_index[i];
if (type[i] == 0) {
if (d_columns_int.empty())
return 0;
if (d_columns_int[j].size() == 0)
return 0;
}
else if (type[i] == 1) {
if (d_columns_float.empty())
return 0;
if(d_columns_float[j].size() == 0)
return 0;
}
else if (type[i] == 2) {
if(d_columns_char.empty())
return 0;
if(d_columns_char[j] == NULL)
return 0;
};
return 1;
}
CudaSet* CudaSet::copyDeviceStruct()
{
CudaSet* a = new CudaSet(mRecCount, mColumnCount);
a->not_compressed = not_compressed;
a->segCount = segCount;
a->maxRecs = maxRecs;
for ( map<string,int>::iterator it=columnNames.begin() ; it != columnNames.end(); ++it )
a->columnNames[(*it).first] = (*it).second;
for(unsigned int i=0; i < mColumnCount; i++) {
a->cols[i] = cols[i];
a->type[i] = type[i];
if(a->type[i] == 0) {
a->d_columns_int.push_back(thrust::device_vector<int_type>());
a->h_columns_int.push_back(thrust::host_vector<int_type, uninitialized_host_allocator<int_type>>());
a->type_index[i] = a->d_columns_int.size()-1;
}
else if(a->type[i] == 1) {
a->d_columns_float.push_back(thrust::device_vector<float_type>());
a->h_columns_float.push_back(thrust::host_vector<float_type, uninitialized_host_allocator<float_type>>());
a->type_index[i] = a->d_columns_float.size()-1;
a->decimal[i] = decimal[i];
}
else {
a->h_columns_char.push_back(NULL);
a->d_columns_char.push_back(NULL);
a->type_index[i] = a->d_columns_char.size()-1;
};
};
a->char_size = char_size;
a->load_file_name = load_file_name;
a->mRecCount = 0;
return a;
}
unsigned long long int CudaSet::readSegmentsFromFile(unsigned int segNum, unsigned int colIndex)
{
char f1[100];
strcpy(f1, load_file_name);
strcat(f1,".");
char col_pos[3];
itoaa(cols[colIndex],col_pos);
strcat(f1,col_pos);
unsigned int cnt;
strcat(f1,".");
itoaa(segNum,col_pos);
strcat(f1,col_pos);
FILE* f;
f = fopen (f1 , "rb" );
if(type[colIndex] == 0) {
fread(h_columns_int[type_index[colIndex]].data(), 4, 1, f);
cnt = ((unsigned int*)(h_columns_int[type_index[colIndex]].data()))[0];
fread((unsigned int*)(h_columns_int[type_index[colIndex]].data()) + 1, (cnt+8)*8 - 4, 1, f);
}
else if(type[colIndex] == 1) {
fread(h_columns_float[type_index[colIndex]].data(), 4, 1, f);
cnt = ((unsigned int*)(h_columns_float[type_index[colIndex]].data()))[0];
fread((unsigned int*)(h_columns_float[type_index[colIndex]].data()) + 1, (cnt+8)*8 - 4, 1, f);
}
else {
decompress_char(f, colIndex, segNum);
};
fclose(f);
return 0;
};
void CudaSet::decompress_char(FILE* f, unsigned int colIndex, unsigned int segNum)
{
unsigned int bits_encoded, fit_count, sz, vals_count, real_count;
const unsigned int len = char_size[type_index[colIndex]];
fread(&sz, 4, 1, f);
char* d_array = new char[sz*len];
fread((void*)d_array, sz*len, 1, f);
void* d;
cudaMalloc((void **) &d, sz*len);
cudaMemcpy( d, (void *) d_array, sz*len, cudaMemcpyHostToDevice);
delete[] d_array;
fread(&fit_count, 4, 1, f);
fread(&bits_encoded, 4, 1, f);
fread(&vals_count, 4, 1, f);
fread(&real_count, 4, 1, f);
unsigned long long int* int_array = new unsigned long long int[vals_count];
fread((void*)int_array, 1, vals_count*8, f);
fclose(f);
void* d_val;
cudaMalloc((void **) &d_val, vals_count*8);
cudaMemcpy(d_val, (void *) int_array, vals_count*8, cudaMemcpyHostToDevice);
delete[] int_array;
void* d_int;
cudaMalloc((void **) &d_int, real_count*4);
// convert bits to ints and then do gather
void* d_v;
cudaMalloc((void **) &d_v, 8);
thrust::device_ptr<unsigned int> dd_v((unsigned int*)d_v);
dd_v[1] = fit_count;
dd_v[0] = bits_encoded;
thrust::counting_iterator<unsigned int> begin(0);
decompress_functor_str ff((unsigned long long int*)d_val,(unsigned int*)d_int, (unsigned int*)d_v);
thrust::for_each(begin, begin + real_count, ff);
//thrust::device_ptr<unsigned int> dd_r((unsigned int*)d_int);
//for(int z = 0 ; z < 3; z++)
//cout << "DD " << dd_r[z] << endl;
//void* d_char;
//cudaMalloc((void **) &d_char, real_count*len);
//cudaMemset(d_char, 0, real_count*len);
//str_gather(d_int, real_count, d, d_char, len);
if(str_offset.count(colIndex) == 0)
str_offset[colIndex] = 0;
//cout << "str off " << str_offset[colIndex] << endl;
if(!alloced_switch)
str_gather(d_int, real_count, d, d_columns_char[type_index[colIndex]] + str_offset[colIndex]*len, len);
else
str_gather(d_int, real_count, d, alloced_tmp, len);
if(!prm.empty()) {
str_offset[colIndex] = str_offset[colIndex] + prm_count[segNum];
}
else {
str_offset[colIndex] = str_offset[colIndex] + real_count;
};
//if(d_columns_char[type_index[colIndex]])
// cudaFree(d_columns_char[type_index[colIndex]]);
//d_columns_char[type_index[colIndex]] = (char*)d_char;
mRecCount = real_count;
cudaFree(d);
cudaFree(d_val);
cudaFree(d_v);
cudaFree(d_int);
}
void CudaSet::CopyToGpu(unsigned int offset, unsigned int count)
{
if (not_compressed) {
for(unsigned int i = 0; i < mColumnCount; i++) {
switch(type[i]) {
case 0 :
thrust::copy(h_columns_int[type_index[i]].begin() + offset, h_columns_int[type_index[i]].begin() + offset + count, d_columns_int[type_index[i]].begin());
break;
case 1 :
thrust::copy(h_columns_float[type_index[i]].begin() + offset, h_columns_float[type_index[i]].begin() + offset + count, d_columns_float[type_index[i]].begin());
break;
default :
cudaMemcpy(d_columns_char[type_index[i]], h_columns_char[type_index[i]], char_size[type_index[i]]*(offset + count), cudaMemcpyHostToDevice);
};
};
}
else
for(unsigned int i = 0; i < mColumnCount; i++)
CopyColumnToGpu(i, offset, count);
};
void CudaSet::CopyColumnToGpu(unsigned int colIndex, unsigned int segment)
{
if(not_compressed) {
switch(type[colIndex]) {
case 0 :
if(!alloced_switch)
thrust::copy(h_columns_int[type_index[colIndex]].begin(), h_columns_int[type_index[colIndex]].begin() + mRecCount, d_columns_int[type_index[colIndex]].begin());
else {
thrust::device_ptr<int_type> d_col((int_type*)alloced_tmp);
thrust::copy(h_columns_int[type_index[colIndex]].begin(), h_columns_int[type_index[colIndex]].begin() + mRecCount, d_col);
};
break;
case 1 :
if(!alloced_switch)
thrust::copy(h_columns_float[type_index[colIndex]].begin(), h_columns_float[type_index[colIndex]].begin() + mRecCount, d_columns_float[type_index[colIndex]].begin());
else {
thrust::device_ptr<float_type> d_col((float_type*)alloced_tmp);
thrust::copy(h_columns_float[type_index[colIndex]].begin(), h_columns_float[type_index[colIndex]].begin() + mRecCount, d_col);
};
break;
default :
if(!alloced_switch)
cudaMemcpy(d_columns_char[type_index[colIndex]], h_columns_char[type_index[colIndex]], char_size[type_index[colIndex]]*mRecCount, cudaMemcpyHostToDevice);
else
cudaMemcpy(alloced_tmp, h_columns_char[type_index[colIndex]], char_size[type_index[colIndex]]*mRecCount, cudaMemcpyHostToDevice);
};
}
else {
unsigned long long int data_offset;
if (partial_load)
data_offset = readSegmentsFromFile(segment,colIndex);
if(type[colIndex] != 2) {
if(d_v == NULL)
CUDA_SAFE_CALL(cudaMalloc((void **) &d_v, 12));
if(s_v == NULL);
CUDA_SAFE_CALL(cudaMalloc((void **) &s_v, 8));
};
if(type[colIndex] == 0) {
if(!alloced_switch) {
pfor_decompress(thrust::raw_pointer_cast(d_columns_int[type_index[colIndex]].data()), h_columns_int[type_index[colIndex]].data() + data_offset, &mRecCount, d_v, s_v);
}
else {
pfor_decompress(alloced_tmp, h_columns_int[type_index[colIndex]].data() + data_offset, &mRecCount, d_v, s_v);
};
}
else if(type[colIndex] == 1) {
if(decimal[colIndex]) {
if(!alloced_switch) {
pfor_decompress( thrust::raw_pointer_cast(d_columns_float[type_index[colIndex]].data()) , h_columns_float[type_index[colIndex]].data() + data_offset, &mRecCount, d_v, s_v);
thrust::device_ptr<long long int> d_col_int((long long int*)thrust::raw_pointer_cast(d_columns_float[type_index[colIndex]].data()));
thrust::transform(d_col_int,d_col_int+mRecCount,d_columns_float[type_index[colIndex]].begin(), long_to_float());
}
else {
pfor_decompress(alloced_tmp, h_columns_float[type_index[colIndex]].data() + data_offset, &mRecCount, d_v, s_v);
thrust::device_ptr<long long int> d_col_int((long long int*)alloced_tmp);
thrust::device_ptr<float_type> d_col_float((float_type*)alloced_tmp);
thrust::transform(d_col_int,d_col_int+mRecCount, d_col_float, long_to_float());
};
}
//else // uncompressed float
//cudaMemcpy( d_columns[colIndex], (void *) ((float_type*)h_columns[colIndex] + offset), count*float_size, cudaMemcpyHostToDevice);
// will have to fix it later so uncompressed data will be written by segments too
}
};
}
void CudaSet::CopyColumnToGpu(unsigned int colIndex) // copy all segments
{
if(not_compressed) {
switch(type[colIndex]) {
case 0 :
thrust::copy(h_columns_int[type_index[colIndex]].begin(), h_columns_int[type_index[colIndex]].begin() + mRecCount, d_columns_int[type_index[colIndex]].begin());
break;
case 1 :
thrust::copy(h_columns_float[type_index[colIndex]].begin(), h_columns_float[type_index[colIndex]].begin() + mRecCount, d_columns_float[type_index[colIndex]].begin());
break;
default :
cudaMemcpy(d_columns_char[type_index[colIndex]], h_columns_char[type_index[colIndex]], char_size[type_index[colIndex]]*mRecCount, cudaMemcpyHostToDevice);
};
}
else {
long long int data_offset;
unsigned int totalRecs = 0;
if(d_v == NULL)
CUDA_SAFE_CALL(cudaMalloc((void **) &d_v, 12));
if(s_v == NULL);
CUDA_SAFE_CALL(cudaMalloc((void **) &s_v, 8));
str_offset[colIndex] = 0;
for(unsigned int i = 0; i < segCount; i++) {
if (partial_load)
data_offset = readSegmentsFromFile(i,colIndex);
if(type[colIndex] == 0) {
pfor_decompress(thrust::raw_pointer_cast(d_columns_int[type_index[colIndex]].data() + totalRecs), h_columns_int[type_index[colIndex]].data() + data_offset, &mRecCount, d_v, s_v);
}
else if(type[colIndex] == 1) {
if(decimal[colIndex]) {
pfor_decompress( thrust::raw_pointer_cast(d_columns_float[type_index[colIndex]].data() + totalRecs) , h_columns_float[type_index[colIndex]].data() + data_offset, &mRecCount, d_v, s_v);
thrust::device_ptr<long long int> d_col_int((long long int*)thrust::raw_pointer_cast(d_columns_float[type_index[colIndex]].data() + totalRecs));
thrust::transform(d_col_int,d_col_int+mRecCount,d_columns_float[type_index[colIndex]].begin() + totalRecs, long_to_float());
}
// else uncompressed float
//cudaMemcpy( d_columns[colIndex], (void *) ((float_type*)h_columns[colIndex] + offset), count*float_size, cudaMemcpyHostToDevice);
// will have to fix it later so uncompressed data will be written by segments too
};
totalRecs = totalRecs + mRecCount;
};
mRecCount = totalRecs;
};
}
void CudaSet::CopyColumnToGpu(unsigned int colIndex, unsigned int offset, unsigned int count)
{
if(not_compressed) {
switch(type[colIndex]) {
case 0 :
thrust::copy(h_columns_int[type_index[colIndex]].begin(), h_columns_int[type_index[colIndex]].begin() + offset + count, d_columns_int[type_index[colIndex]].begin());
break;
case 1 :
thrust::copy(h_columns_float[type_index[colIndex]].begin(), h_columns_float[type_index[colIndex]].begin() + offset + count, d_columns_float[type_index[colIndex]].begin());
break;
default :
cudaMemcpy(d_columns_char[type_index[colIndex]], h_columns_char[type_index[colIndex]], char_size[type_index[colIndex]]*(offset + count), cudaMemcpyHostToDevice);
};
}
else {
};
}
void CudaSet::CopyColumnToHost(int colIndex, unsigned int offset, unsigned int RecCount)
{
switch(type[colIndex]) {
case 0 :
thrust::copy(d_columns_int[type_index[colIndex]].begin(), d_columns_int[type_index[colIndex]].begin() + RecCount, h_columns_int[type_index[colIndex]].begin() + offset);
break;
case 1 :
thrust::copy(d_columns_float[type_index[colIndex]].begin(), d_columns_float[type_index[colIndex]].begin() + RecCount, h_columns_float[type_index[colIndex]].begin() + offset);
break;
default :
cudaMemcpy(h_columns_char[type_index[colIndex]] + offset*char_size[type_index[colIndex]], d_columns_char[type_index[colIndex]], char_size[type_index[colIndex]]*RecCount, cudaMemcpyDeviceToHost);
}
}
void CudaSet::CopyColumnToHost(int colIndex)
{
CopyColumnToHost(colIndex, 0, mRecCount);
}
void CudaSet::CopyToHost(unsigned int offset, unsigned int count)
{
for(unsigned int i = 0; i < mColumnCount; i++) {
CopyColumnToHost(i, offset, count);
};
}
float_type* CudaSet::get_float_type_by_name(string name)
{
unsigned int colIndex = columnNames.find(name)->second;
return thrust::raw_pointer_cast(d_columns_float[type_index[colIndex]].data());
}