FastFlow  SVN-r182-Aug-14-2014
A high-level, lock-less, parallel programming (shared-memory) and distributed programming (distributed-memory) framework for multi-cores and many-cores systems
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parforreduce_basic.cpp File Reference

Some basic usage examples of the parforreduce pattern. More...

#include <iostream>
#include <iomanip>
#include <sstream>
#include <ff/parallel_for.hpp>
+ Include dependency graph for parforreduce_basic.cpp:

Detailed Description

Some basic usage examples of the parforreduce pattern.

/* -*- Mode: C++; tab-width: 4; c-basic-offset: 4; indent-tabs-mode: nil -*- */
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// MarcoA
// Part of FastFlow tests
// Aug 3, 1024
// All parfors inc element-wise the array A.
#define FF
#include <iostream>
#include <iomanip>
#include <sstream>
#ifdef FF
#else
# include <omp.h>
#endif
const long N=10;
static void print(long V[], long size) {
for (long i=0;i<size;++i) std::cout << std::setw(2) << V[i] << " ";
std::cout << std::endl;
}
static void compute_mask(long V[], long size, std::string m) {
std::cout << "Compute mask (X anonymous worker, - not computed)" << std::endl;
for (long i=0;i<size;++i)
if (V[i]!=i) std::cout << std::setw(2) << m << " ";
else std::cout << " -" << " ";
std::cout << std::endl;
}
static void compute_mask_i(long V[], long size, long mapping[]) {
std::cout << "Compute mask (worker ID, - not computed)" << std::endl;
for (long i=0;i<size;++i)
if (V[i]!=i) std::cout << std::setw(2) << std::to_string(mapping[i]) << " ";
else std::cout << " -" << " ";
std::cout << std::endl;
}
static void reset(long V[], long size) {
for (long i=0;i<size;++i) V[i] =i;
}
int main() {
long nworkers = 2;
long A[N];
for (long i=0;i<N;++i) A[i]=i;
/* 1) Parallel for region (basic)
void parallel_for (long first, long last, const Function &f, const long nw=FF_AUTO)
Compute the body on [first,last) elements
Dynamic scheduling. grain = N/nw
*/
#ifdef FF
ff::ParallelFor pf(nworkers, false);
pf.parallel_for(0L,N,[&A](const long i) {
A[i]+=1;
});
#else // OMP
#pragma omp parallel for num_threads(nworkers)
for(long i=0;i<N;++i) {
A[i]+=1;
};
#endif
std::cout << "====================================================" << std::endl;
std::cout << "1) Basic" << std::endl;
print(A,N);
compute_mask(A,N," X");
reset(A,N);
/* 2) Parallel for region (step)
parallel_for (long first, long last, long step, const Function &f, const long nw=FF_AUTO)
Compute the body on [first,last) elements with step
Dynamic scheduling, grain = (last-first)/(step*nw)
*/
long step = 2;
pf.parallel_for(0L,N,step,[&A](const long i) {
A[i]+=1;
}, nworkers);
std::cout << "====================================================" << std::endl;
std::cout << "2) Step" << step << std::endl;
print(A,N);
compute_mask(A,N," X");
reset(A,N);
/* 3) Parallel for region (step, grain)
parallel_for (long first, long last, long step, long grain, const Function &f, const long nw=FF_AUTO)
Compute the body on [first,last) elements with step
Dynamic scheduling, grain defined by user
*/
long grain = 3;
long mapping_on_threads[N];
for (long i=0;i<N;++i) mapping_on_threads[i] =-1;
pf.parallel_for(0L,N,step,grain,[&A,&mapping_on_threads](const long i) {
A[i]+=1;
// Internal, OS-dependent thread ID
mapping_on_threads[i] = ff_getThreadID();
});
std::cout << "====================================================" << std::endl;
std::cout << "3) step << " << step << " grain=" << grain << std::endl;
print(A,N);
compute_mask(A,N," X");
for (long i=0;i<N;++i) {
std::cout << "A["<< i << "] on Thread ";
if (mapping_on_threads[i]==-1) std::cout << "NA";
else std::cout << mapping_on_threads[i];
std::cout << std::endl;
}
reset(A,N);
/* 4) Parallel for region with threadID (step, grain, thid)
parallel_for_thid (long first, long last, long step, long grain, const Function &f, const long nw=FF_AUTO)
Compute the body on [first,last) elements with step
Dynamic scheduling, chunk defined by user, body can access to Worker ID
*/
for (long i=0;i<N;++i) mapping_on_threads[i] =-1;
pf.parallel_for_thid(0L,N,step,grain,[&A,&mapping_on_threads](const long i, const int thid) {
A[i]+=1;
mapping_on_threads[i] = thid;
});
std::cout << "====================================================" << std::endl;
std::cout << "4) step= " << step << "grain = " << grain <<
"with ThreadIDs" << std::endl;
print(A,N);
compute_mask_i(A,N,mapping_on_threads);
reset(A,N);
/* Parallel for region with indexes ranges (step, grain, thid, idx)
parallel_for_idx (long first, long last, long step, long grain, const Function &f, const long nw=FF_AUTO)
Compute the body on [first,last) elements with step
Dynamic scheduling, chunk defined by user, body can access to worker number
*/
std::cout << "====================================================" << std::endl;
std::cout << "5) Partition range indexes (IDX)" << std::endl;
for (long i=0;i<N;++i) mapping_on_threads[i] =-1;
pf.parallel_for_idx(0L,N,3,2,[&A,&mapping_on_threads](const long start, const long end, const long thid) {
usleep(random()&1111111);
std::cerr << start << " - " << end << "\n";
for (long j=start; j<end; j+=3) {
A[j]+=1;
mapping_on_threads[j] = thid;
}
},nworkers);
print(A,N);
compute_mask_i(A,N,mapping_on_threads);
reset(A,N);
/* Parallel for region static (step, grain)
parallel_for_static (long first, long last, long step, long grain, const Function &f, const long nw=FF_AUTO)
Compute the body on [first,last) elements with step
Static scheduling, grain defined by user or with maximal partitions
*/
std::cout << "====================================================" << std::endl;
step = 1;
for (long i=0;i<N;++i) mapping_on_threads[i] =-1;
pf.parallel_for_static(0L,N,step,0,[&A,&mapping_on_threads](const long i) {
A[i]+=1;
// Internal, OS-dependent thread ID
mapping_on_threads[i] = ff_getThreadID();
});
std::cout << "6) Static with maximal partitions" << std::endl;
print(A,N);
compute_mask(A,N," X");
for (long i=0;i<N;++i) {
std::cout << "A["<< i << "] on Thread ";
if (mapping_on_threads[i]==-1) std::cout << "NA";
else std::cout << mapping_on_threads[i];
std::cout << std::endl;
}
reset(A,N);
for (long i=0;i<N;++i) mapping_on_threads[i] =-1;
pf.parallel_for_static(0L,N,step, grain, [&A,&mapping_on_threads](const long i) {
A[i]+=1;
// Internal, OS-dependent thread ID
mapping_on_threads[i] = ff_getThreadID();
},nworkers);
std::cout << "====================================================" << std::endl;
std::cout << "7) Static with fixed partition size = " << grain << std::endl;
print(A,N);
compute_mask(A,N," X");
for (long i=0;i<N;++i) {
std::cout << "A["<< i << "] on Thread ";
if (mapping_on_threads[i]==-1) std::cout << "NA";
else std::cout << mapping_on_threads[i];
std::cout << std::endl;
}
reset(A,N);
}