magistraleinformaticanetworking:spm:ff30_map
Map (sample code)
- map.cpp
/* -*- Mode: C++; tab-width: 4; c-basic-offset: 4; indent-tabs-mode: nil -*- */ /* *************************************************************************** * This program is free software; you can redistribute it and/or modify * it under the terms of the GNU General Public License version 2 as * published by the Free Software Foundation. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software * Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. * * As a special exception, you may use this file as part of a free software * library without restriction. Specifically, if other files instantiate * templates or use macros or inline functions from this file, or you compile * this file and link it with other files to produce an executable, this * file does not by itself cause the resulting executable to be covered by * the GNU General Public License. This exception does not however * invalidate any other reasons why the executable file might be covered by * the GNU General Public License. * **************************************************************************** */ /* * The program is a simple map used: * 1. as a software accelerator (mapSA) * 2. to compute just one single task (mapOneShot). * */ #include <vector> #include <iostream> #include <ff/map.hpp> #include <ff/utils.hpp> using namespace ff; // this is the map function void* mapF(basePartitioner*const P, int tid) { LinearPartitioner<int>* const partitioner=(LinearPartitioner<int>* const)P; LinearPartitioner<int>::partition_t Partition; partitioner->getPartition(tid, Partition); int* p = (int*)Partition.getData(); // gets the pointer to the first element of the partion size_t l = Partition.getLength(); // gets the length of the partion for(size_t i=0;i<l;++i) p[i] += tid; return p; // returns the partition pointer !!! } long f(long v) { return v+1;} int main(int argc, char * argv[]) { if (argc<3) { std::cerr << "use: " << argv[0] << " arraysize nworkers\n"; return -1; } int arraySize= atoi(argv[1]); int nworkers = atoi(argv[2]); if (nworkers<=0) { std::cerr << "Wrong parameters values\n"; return -1; } // defining a linear partitioner of integer elements LinearPartitioner<int> P(arraySize,nworkers); // defining the map passing as parameter the function called // within each worker and the partitioner that has to be used // to create the worker partitions ff_map mapSA(mapF,&P, NULL, true); // the 4rd parameter enable the accelerator mode mapSA.run(); printf("\nmapSA:\n"); for(int i=0;i<10;++i) { // create a task int* A=new int[arraySize]; for(int j=0;j<arraySize;++j) A[j]=i; // offload the task into the map mapSA.offload(A); // wait for the result (NOTE: also the non-blocking call may be used !) void* R=NULL; mapSA.load_result(&R); // print the result for(int j=0;j<arraySize;++j) printf("%d ", ((int*)R)[j]); printf("\n"); } // stopping the accelerator mapSA.offload(EOS); mapSA.wait(); long *oneTask=new long[arraySize]; for(long j=0;j<arraySize;++j) oneTask[j]=j; FF_MAP(map, oneTask,arraySize, f, nworkers); #if 0 ff_map mapOneShot(mapF,&P, oneTask); mapOneShot.run_and_wait_end(); #endif //ff_map mapOneShot(mapF,&P, oneTask); //mapOneShot.run_and_wait_end(); // print the result printf("\nmapOneShot:\n"); for(int j=0;j<arraySize;++j) printf("%ld ", oneTask[j]); printf("\n"); std::cerr << "DONE\n"; return 0; }
magistraleinformaticanetworking/spm/ff30_map.txt · Ultima modifica: 30/10/2013 alle 17:13 (11 anni fa) da Marco Danelutto