blob: f5c478a9ce5f2ac9f7e4a1354a892ee956510a30 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
|
#ifndef _MPI_CORPUS_HH
#define _MPI_CORPUS_HH
#include <vector>
#include <string>
#include <map>
#include <tr1/unordered_map>
#include <boost/ptr_container/ptr_vector.hpp>
#include <boost/mpi/environment.hpp>
#include <boost/mpi/communicator.hpp>
#include "contexts_corpus.hh"
////////////////////////////////////////////////////////////////
// MPICorpus
////////////////////////////////////////////////////////////////
class MPICorpus : public ContextsCorpus {
public:
MPICorpus() : ContextsCorpus() {
boost::mpi::communicator world;
m_rank = world.rank();
m_size = world.size();
m_start = -1;
m_end = -1;
}
virtual ~MPICorpus() {}
virtual unsigned read_contexts(const std::string &filename,
BackoffGenerator* backoff_gen=0,
bool filter_singeltons=false,
bool binary_contexts=false) {
unsigned result = ContextsCorpus::read_contexts(filename, backoff_gen, filter_singeltons, binary_contexts);
if (m_rank == 0) std::cerr << "\tLoad balancing terms per mpi segment:" << std::endl;
float segment_size = num_terms() / m_size;
float term_threshold = segment_size;
int seen_terms = 0;
std::vector<int> end_points;
for (int i=0; i < num_documents(); ++i) {
seen_terms += m_documents.at(i).size();
if (seen_terms >= term_threshold) {
end_points.push_back(i+1);
term_threshold += segment_size;
if (m_rank == 0) std::cerr << "\t\t" << i+1 << ": " << seen_terms << " terms, " << 100*seen_terms / (float)num_terms() << "%" << std::endl;
}
}
m_start = (m_rank == 0 ? 0 : end_points.at(m_rank-1));
m_end = (m_rank == m_size-1 ? num_documents() : end_points.at(m_rank));
return result;
}
void
bounds(int* start, int* end) const {
*start = m_start;
*end = m_end;
}
protected:
int m_rank, m_size;
int m_start, m_end;
};
#endif // _MPI_CORPUS_HH
|
