Roofline.cpp

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#include <mpi.h>
#include <sys/time.h> 
#include <iostream>
#include <functional>
#include <algorithm>
#include <vector>
#include <sstream>
#include "CombBLAS/CombBLAS.h"
#include "../Applications/TwitterEdge.h"
 
using namespace std;
using namespace combblas;
 
// One edge = 16 bytes (rounded up from 11)
// One parent = 8 bytes
#define INC 256
#define L1 4096 // maximum entries of edges+parents combined to fit 32 KB
#define REPEAT 1000
 
 
 
 
// all the local variables before the EWiseApply wouldn't be accessible, 
// so we need to pass them as parameters to the functor constructor
class twitter_mult : public std::binary_function<ParentType, TwitterEdge, ParentType>
{
private:
    time_t sincedate;
public:
    twitter_mult(time_t since):sincedate(since) {};
  ParentType operator()(const ParentType & arg1, const TwitterEdge & arg2) const
  {
    if(arg2.isFollower() && arg2.TweetSince(sincedate))      
        return arg1;
    else
        return ParentType();    // null-type parent id
  }
};
 
 
int main(int argc, char* argv[])
{
    int nprocs, myrank;
    MPI_Init(&argc, &argv);
    MPI_Comm_size(MPI_COMM_WORLD,&nprocs);
    MPI_Comm_rank(MPI_COMM_WORLD,&myrank);
    
    {
        int64_t len = INC;
        time_t now;
        time ( &now );
        TwitterEdge twe(4, 1, now); // 4 retweets, latest now, following
 
        while(len < L1)
        {
            //  FullyDistVec(IT globallen, NT initval)
            FullyDistVec<int64_t,TwitterEdge> tvec(nprocs * len, twe);
            FullyDistVec<int64_t,ParentType> pvec;
            pvec.iota(nprocs * len, ParentType());
    
            MPI_Barrier(MPI_COMM_WORLD);
            double t1 = MPI_Wtime();    // initilize (wall-clock) timer
 
            time_t now = time(0);
            struct tm * timeinfo = localtime( &now);
            timeinfo->tm_mon = timeinfo->tm_mon-1;
            time_t monthago = mktime(timeinfo);
            
            for(int i=0; i< REPEAT; ++i)
                pvec.EWiseApply(tvec, twitter_mult(monthago));
 
            MPI_Barrier(MPI_COMM_WORLD);
            double t2 = MPI_Wtime();    
            
            if(myrank == 0)
            {
                cout<<"EWiseApply Iterations finished"<<endl;   
                double time = t2-t1;
                double teps = (nprocs*len*REPEAT) / (time * 1000000);
                printf("%.6lf seconds elapsed for %d iterations on vector of length %lld\n", time, REPEAT, nprocs*len);
                printf("%.6lf million TEPS per second\n", teps);
            }
            len += INC;
        }
    }
    MPI_Finalize();
    return 0;
}