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pskyline.cpp
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/*
* pskyline.cpp
*
* Created on: Feb 5, 2014
* Author: dariuss
*/
#include "pskyline.h"
#include <cstdlib>
#include <cstdio>
#include <cstring>
#include <cassert>
#include <strings.h>
#if defined(_OPENMP)
#include <omp.h>
#include <parallel/algorithm>
#else
#include <algorithm>
#define omp_get_thread_num() 0
#define omp_set_num_threads( t ) 0
#endif
PSkyline::PSkyline(uint32_t threads, uint32_t n, uint32_t d, float** data) :
num_threads_( threads ), n_( n ), d_( d ), block_size_( n / threads ) {
skyline_.reserve( 1024 );
omp_set_num_threads( num_threads_ );
data_ = NULL;
input_ = NULL;
flag_ = NULL;
}
PSkyline::~PSkyline() {
delete[] data_;
delete[] input_;
delete[] flag_;
}
vector<int> PSkyline::Execute() {
INI_PROFILER();
Block* output = PMap( input_ );
UPD_PROFILER("11 phaseI");
Block result = SReduce( output );
UPD_PROFILER("12 phaseII");
for (uint32_t i = 0; i < result.size; ++i) {
skyline_.push_back( data_[i].pid );
}
PRI_PROFILER();
delete[] output;
return skyline_;
}
void PSkyline::Init(float** data) {
data_ = new TUPLE[n_];
#pragma omp parallel for
for (uint32_t i = 0; i < n_; i++) {
data_[i].pid = i;
memcpy( data_[i].elems, data[i], sizeof(float) * NUM_DIMS );
}
input_ = new Block[num_threads_];
flag_ = new int[n_];
int start = 0, end = 0;
uint32_t i;
for (i = 0; i < num_threads_; i++) {
end = start + block_size_ - 1;
input_[i].start = start;
input_[i].end = end;
start = end + 1;
}
input_[i - 1].end = n_ - 1; // .end : inclusive
}
/*
* Implementation of PMap using OMP:
* PMap(f, D) = { f(D[1]), ..., f(D[n]) }
*
* I.e., f (sskyline) is applied to each element of D in parallel.
*
*/
Block* PSkyline::PMap(Block* input) {
Block* output = new Block[num_threads_];
#pragma omp parallel for default(shared)
for (uint32_t i = 0; i < num_threads_; i++)
output[i] = sskyline( input[i] );
// END PARALLEL FOR
return output;
}
/*
* Simple Skyline
*/
Block PSkyline::sskyline(Block input) {
int i;
const int size = input.end - input.start + 1;
int head = 0, tail = size - 1;
TUPLE *const D = data_ + input.start;
while ( head < tail ) {
i = head + 1;
while ( i <= tail ) {
const int dtest = DominanceTest( D[head], D[i] );
if ( dtest == DOM_LEFT )
D[i] = D[tail--];
else if ( dtest == DOM_RIGHT ) {
D[head] = D[i];
D[i] = D[tail--];
i = head + 1;
} else
++i;
}
head++;
}
// keep the output in memory
input.size = tail + 1;
return input;
}
/*
* SReduce (Sequential Reduce): collapses several skylines into
* one by sequentially calling parallel merge.
*/
Block PSkyline::SReduce(Block* input) {
if ( num_threads_ == 1 )
return input[0];
Block* buf = new Block[num_threads_];
memcpy( buf, input, num_threads_ * sizeof(Block) );
Block ret = buf[0];
for (uint32_t i = 1; i <= num_threads_ - 1; i++)
ret = PMerge( ret, buf[i] );
delete[] buf;
return ret;
}
/*
* Parallel Merge
*/
Block PSkyline::PMerge(Block left, Block right) {
int* flag;
int* left_flag;
int* right_flag;
TUPLE* left_skyline;
TUPLE* right_skyline;
// assumes that left[] appears to the left of right[]
memmove( data_ + left.start + left.size, data_ + right.start,
sizeof(TUPLE) * right.size );
left_skyline = data_ + left.start;
right_skyline = data_ + left.start + left.size;
/* Set up flag */
flag = flag_ + left.start;
left_flag = flag;
right_flag = flag + left.size;
// assumption: LIVE == 0
//bzero( flag, (left.size + right.size) * sizeof(int) );
memset( flag, 0, (left.size + right.size) * sizeof(int) );
#pragma omp parallel for schedule(dynamic, 64)
for (uint32_t i = 0; i < left.size; i++) {
left_flag[i] = CheckSurvival( left_skyline[i], right_skyline, right_flag,
right.size );
} // END PARALLEL FOR
/* Compact skylines */
uint32_t cnt = 0;
for (uint32_t i = 0; i < left.size + right.size; i++)
if ( flag[i] == LIVE )
left_skyline[cnt++] = left_skyline[i];
left.size = cnt;
return left;
}