Beispiel #1
0
int main(void)
{
	double ** matrixA, ** matrixB, ** matrixC, ticks;
	int size = 1600;

	matrixA = allocMatrix(size,size); randomMatrix(matrixA, size, size);
	matrixB = allocMatrix(size,size); randomMatrix(matrixB, size, size);
	matrixC = allocMatrix(size,size);

	printf("Two random matricies generated, now multiplying...\n\n");
	ticks = clock();
	multiplyMatrix(matrixA, matrixB, matrixC, size, size, size);
	printf("Multiplication of two square matricies of size %d took %g seconds\n",size,(clock() - ticks)/CLOCKS_PER_SEC);

	freeMatrix(matrixA);
	freeMatrix(matrixB);
	freeMatrix(matrixC);

	return 0;
}
Beispiel #2
0
int main(int argc, char *argv[]) {
  unsigned n;
  int evt;
  double *A;
  int i, j;
  double checksum = 0;
  double startTime, endTime;
  long long counter;

  if (argc < 2) {
    return -1;
  }

  n = atoi(argv[1]);
  evt = (argc > 2) ? atoi(argv[2]) : -1;

  A = randomMatrix(n);
  assert(A != NULL);

  if (evt == -1) {
    startTime = dclock();
  } else {
    papi_init(evt);
    papi_start();
  }

  if (chol(A, n)) {
    fprintf(stderr, "Error: matrix is either not symmetric or not positive definite.\n");
  } else {
    for (i = 0; i < n; i++) {
        for (j = i; j < n; j++) {
            checksum += A[IDX(i, j, n)];
        }
    }
    printf("Checksum: %f \n", checksum);
  }

  if (evt == -1) {
    endTime = dclock();
    fprintf(stderr, "%f\n", endTime - startTime);

  } else {
    counter = papi_stop();
    fprintf(stderr, "%lld\n", counter);
  }

  free(A);
  return 0;
}
Beispiel #3
0
int main(int argc, char *argv[])
{
    if(argc<3)
    {
        printf("Usage : %s <taille de la matrice> <filename>\n",argv[0]);
		exit(1);
    }
    srand(time(NULL));
    int taille=atoi(argv[1]);
	Matrix A=newMatrix(taille,taille);
	A=randomMatrix(A);

	valeurPropre_gnuplot(A,argv[2]);

	deleteMatrix(A);

	return 0;
}
Beispiel #4
0
static void
check_matrix(generator_t &gen, distribution_t &dist)
{
  // check identity
  {
    mtx44 m;
    mtx44Identity(&m);
    assert(m == glm::mat4());
  }

  for(size_t x = 0; x < 10000; ++x)
  {
    // check multiply
    {
      mtx44 m1, m2;
      randomMatrix(m1, gen, dist);
      randomMatrix(m2, gen, dist);

      glm::mat4 g1 = loadMatrix(m1);
      glm::mat4 g2 = loadMatrix(m2);

      mtx44 result;
      mtx44Multiply(&result, &m1, &m2);
      assert(result == g1*g2);
    }

    // check translate
    {
      mtx44 m;
      randomMatrix(m, gen, dist);

      glm::mat4 g = loadMatrix(m);
      glm::vec3 v = randomVector(gen, dist);

      mtx44Translate(&m, v.x, v.y, v.z);
      assert(m == glm::translate(g, v));
    }

    // check scale
    {
      mtx44 m;
      randomMatrix(m, gen, dist);

      glm::mat4 g = loadMatrix(m);
      glm::vec3 v = randomVector(gen, dist);

      mtx44Scale(&m, v.x, v.y, v.z);
      assert(m == glm::scale(g, v));
    }

    // check rotate
    {
      mtx44 m;
      randomMatrix(m, gen, dist);

      float r = randomAngle(gen, dist);

      glm::mat4 g = loadMatrix(m);
      glm::vec3 v = randomVector(gen, dist);

      mtx44Rotate(&m, (vec3f){ v.x, v.y, v.z }, r);
      assert(m == glm::rotate(g, r, v));
    }

    // check rotate X
    {
      mtx44 m;
      randomMatrix(m, gen, dist);

      float r = randomAngle(gen, dist);

      glm::mat4 g = loadMatrix(m);

      mtx44RotateX(&m, r);
      assert(m == glm::rotate(g, r, x_axis));
    }

    // check rotate Y
    {
      mtx44 m;
      randomMatrix(m, gen, dist);

      float r = randomAngle(gen, dist);

      glm::mat4 g = loadMatrix(m);

      mtx44RotateY(&m, r);
      assert(m == glm::rotate(g, r, y_axis));
    }

    // check rotate Z
    {
      mtx44 m;
      randomMatrix(m, gen, dist);

      float r = randomAngle(gen, dist);

      glm::mat4 g = loadMatrix(m);

      mtx44RotateZ(&m, r);
      assert(m == glm::rotate(g, r, z_axis));
    }
  }
}
void RandomReductionPlugin::randomReduction(std::ofstream &outStream)
{
    std::cerr << "[INFO] Random reduction (iteration limit: " << m_iterationLimit << ") ... " << std::endl;

    std::set<IndexType> Trand; // random test set
    std::set<IndexType> TrandIter; // random test set
    std::vector<IndexType> randomizedTests; // stores the shuffled test case id-s
    std::vector<IndexType> randomizedIterTests;

    // print initial test suite
    outStream << "Number of procedures: " << m_nrOfCodeElements << std::endl;

    // initialize the remaining set
    for(unsigned int i = 0; i < m_nrOfTestCases; i++) {
            randomizedTests.push_back(i);
    }

    unsigned int fullSize = randomizedTests.size();
    shuffle(randomizedTests); // make randomized order
    randomizedIterTests = randomizedTests;

    // print initial test suite
    outStream << "Total " << fullSize << " test cases in full test suite." << std::endl;

    Trand.clear();
    TrandIter.clear();

    CReductionData randomIterMatrix(m_data->getCoverage(), m_programName + "-RAND-ITER", m_dirPath);
    CReductionData randomMatrix(m_data->getCoverage(), m_programName + "-RAND", m_dirPath);

    unsigned int iter = 0;
    unsigned int numClasses = 1;

    while (iter < m_iterationLimit) {
        std::cerr << "[RANDOM] Iteration " << iter + 1 << " (number of classes: " << numClasses << ") " << std::endl;

        // fill the random matrix
        if (addRandom(randomizedIterTests, TrandIter, numClasses) != (int)numClasses) { // oops
            std::cerr << "[RANDOM] random test addition failed (adding 1 test)" << std::endl;
            numClasses *= 2;
            iter++;
            continue;
        }

        outStream << "Selected tests in the " << iter + 1 << "th iteration: " << std::endl;
        outStream << numClasses << " tests added" << std::endl;

        // create the random matrix
        randomIterMatrix.add(TrandIter);
        randomIterMatrix.save(iter + 1);
        numClasses *= 2;
        iter++;
        if (TrandIter.size() >= m_nrOfTestCases) {
            std::cerr << "[RANDOM] Full test suite size reached, exiting before iteration " << iter + 1 << " ..." << std::endl;
            break;
        }
    }

    for (int i = 0; i < (int)m_reductionSizes.size(); ++i) {
        int reductionSize = m_reductionSizes[i];
        std::cerr << "[RANDOM] Fixed size " << i << " (number of classes: " << reductionSize << ") " << std::endl;

        // fill the random matrix
        if (addRandom(randomizedTests, Trand, reductionSize) != (int)reductionSize) {// oops
            std::cerr << "[RANDOM] random test addition failed (adding 1 test)" << std::endl;
            continue;
        }

        // create the random matrix
        randomMatrix.add(Trand);
        randomMatrix.save(i + 1);

        if (Trand.size() >= m_nrOfTestCases) {
            std::cerr << "[RANDOM] Full test suite size reached, exiting before iteration " << iter + 1 << " ..." << std::endl;
            break;
        }
    }

    unsigned int reducedSize = TrandIter.size();
    outStream << "Random reduction ended" << std::endl;

    // print final test suite:
    outStream << "Fixed iteration reduction" << std::endl;
    outStream << "Total " << reducedSize << " test cases in reduced test suite." << std::endl;
    outStream << "Reduction rate: " << 100.0 * (fullSize - reducedSize) / fullSize << "\%" << std::endl;

    reducedSize = Trand.size();
    outStream << "Fixed size reduction" << std::endl;
    outStream << "Total " << reducedSize << " test cases in reduced test suite." << std::endl;
    outStream << "Reduction rate: " << 100.0 * (fullSize - reducedSize) / fullSize << "\%" << std::endl;

    std::cerr << "done." << std::endl;
}
Beispiel #6
0
int main(int argc, char * argv[]) {

  int rank_grid, rank_row, rank_col;
  int coordinates[2];
  int node_total_size;
  int node_dim_size;
  int elem_dim_size;
  int subelem_dim_size;
  int * scatter_sendcount;
  int * scatter_displacement;
  int gridinit_num_dims = 2;
  int gridinit_dims[2] = {0,0};
  int gridinit_periods[2] = {0,0};
  int gridinit_reorder = 1;

  MPI_Comm mpi_comm_grid, mpi_comm_row, mpi_comm_col;
  MPI_Datatype mpi_type_submatrix, mpi_type_submatrix_vector;

  MPI_Request fox_send_request, fox_recv_request;
  int fox_sendto, fox_recfrom, fox_sendtag, fox_rectag;
  int fox_broadcaster;

  double *mat_a, *mat_b, *mat_c;
  double *A_mine, *B_old, *B_new, *C_mine, *A_bcast;
  double *mat_verify;

  int i, j, k;

  int verify = 0;
  int verbose = 0;

  MPI_Init(&argc, &argv);
  MPI_Comm_size(MPI_COMM_WORLD, &node_total_size);
  double starttime, endtime;
  starttime = MPI_Wtime();
  
  // Set up cartesian coordinate grid
  MPI_Dims_create(node_total_size, 
		  gridinit_num_dims, 
		  gridinit_dims);
  MPI_Cart_create(MPI_COMM_WORLD, 
		  gridinit_num_dims, 
		  gridinit_dims, 
		  gridinit_periods, 
		  gridinit_reorder, 
		  &mpi_comm_grid);

  // ** Get the grid coordinates of this process.
  MPI_Comm_rank(mpi_comm_grid, &rank_grid);
  MPI_Cart_coords(mpi_comm_grid, rank_grid, gridinit_num_dims, coordinates);

  // ** Set up column communicators.
  MPI_Comm_split(mpi_comm_grid, coordinates[1], coordinates[0], &mpi_comm_col);
  MPI_Comm_rank(mpi_comm_col, &rank_col); 

  // ** Set up row communicators  
  MPI_Comm_split(mpi_comm_grid, coordinates[0], coordinates[1], &mpi_comm_row);
  MPI_Comm_rank(mpi_comm_row, &rank_row); 

  // Get the number of processors per dimension in grid.
  MPI_Comm_size(mpi_comm_row, &node_dim_size);
  
  // ********************************************
  // ** CHECK SANITY OF AND SET UP ENVIRONMENT **
  // ********************************************

  // Check that number of parameters is sane.
  if(argc < 2) {
    if(rank_grid == 0)
      printf("Usage: foxmatrix N\n  N = randomize NxN matrices.\n");
    MPI_Finalize();
    return -1;
  }

  // Get the number of elements per dimension in matrices from arguments.
  elem_dim_size = atoi(argv[1]);

  // Check that number of processors is sane.
  if(sqrt(node_total_size) != (double) ((int) sqrt(node_total_size))) {
    if(rank_grid == 0)
      printf("Not a square number of processors.\n");
    MPI_Finalize();
    return -1;
  }

  // Check that it is possible to split matrix over the processors.
  if(elem_dim_size % node_dim_size != 0) {
    if(rank_grid == 0)
      printf("Cannot split elements evenly over processors.\n");
    MPI_Finalize();
    return -1;
  }

  // Calculate the size (in one dimension) of the submatrices.
  subelem_dim_size = elem_dim_size / node_dim_size;

  // Check if the user has given the verify/verbose commands.
  if(argc == 3 && strcmp(argv[2], "verify") == 0)
    verify = 1;
  else if(argc == 3 && strcmp(argv[2], "verbose") == 0)
    verbose = 1;
  else if(argc == 4 && 
	  strcmp(argv[2], "verbose") == 0 && 
	  strcmp(argv[3], "verify") == 0) {
    verbose = 1;
    verify = 1;
  } else if(argc == 4 && 
	  strcmp(argv[2], "verify") == 0 && 
	  strcmp(argv[3], "verbose") == 0) {
    verbose = 1;
    verify = 1;
  }
  
  // Create datatype used for transmitting submatrices.
  // Idea of using vector+struct taken from http://www.mcs.anl.gov/research/projects/mpi/tutorial/mpiexmpl/src4/scatter/C/solution.html.

  MPI_Type_vector(subelem_dim_size,
		  subelem_dim_size,
		  elem_dim_size, 
		  MPI_DOUBLE,
		  &mpi_type_submatrix_vector);
  int sm_blocklength[2] = {1, 1};
  MPI_Aint sm_displacement[2] = {0, subelem_dim_size * sizeof(double)};
  MPI_Datatype sm_types[2] = {mpi_type_submatrix_vector, MPI_UB};
  MPI_Type_struct(2, 
		  sm_blocklength, 
		  sm_displacement, 
		  sm_types, 
		  &mpi_type_submatrix);
  MPI_Type_commit(&mpi_type_submatrix);

  // ** CREATE MATRICES AND SET UP SCATTERV/GATHERV VARIABLES **
  
  if(rank_grid == 0) {
    // Create matrices on rank 0.
    mat_a = (double *) malloc(elem_dim_size * elem_dim_size * sizeof(double));
    mat_b = (double *) malloc(elem_dim_size * elem_dim_size * sizeof(double));
    mat_c = (double *) malloc(elem_dim_size * elem_dim_size * sizeof(double));
    
    // Randomize matrix contents.
    randomMatrixInit();
    randomMatrix(mat_a, elem_dim_size);
    randomMatrix(mat_b, elem_dim_size);

    // Allocate memory for storing scattering information.
    scatter_sendcount = (int *) malloc(node_total_size * sizeof(int));
    scatter_displacement = (int *) malloc(node_total_size * sizeof(int));
    
    // Set up scatter/gather arguments.
    int sit;
    for(sit = 0; sit < node_total_size; sit++) {
      scatter_sendcount[sit] = 1;
      if(sit == 0)
	scatter_displacement[sit] = 0;
      else {
	scatter_displacement[sit] = scatter_displacement[sit - 1] + 1;
	if(sit % node_dim_size == 0)
	  // At end of line, go to start of next submatrix.
	  scatter_displacement[sit] += node_dim_size * (subelem_dim_size - 1);
      }      
    }
  }

  A_mine = (double *) malloc(subelem_dim_size*subelem_dim_size*sizeof(double));
  A_bcast = (double *) malloc(subelem_dim_size*subelem_dim_size*sizeof(double));
  B_old = (double *) malloc(subelem_dim_size*subelem_dim_size*sizeof(double));
  B_new = (double *) malloc(subelem_dim_size*subelem_dim_size*sizeof(double));
  C_mine = (double *) malloc(subelem_dim_size*subelem_dim_size*sizeof(double));
  
  zeroMatrix(C_mine, subelem_dim_size);
  
  // ** DISTRIBUTE THE SUBMATRICES TO THE GRID NODES **
  MPI_Scatterv(mat_a,
	       scatter_sendcount,
	       scatter_displacement,
	       mpi_type_submatrix,
	       A_mine,
	       subelem_dim_size * subelem_dim_size,
	       MPI_DOUBLE,
	       0,
	       mpi_comm_grid);
  
  MPI_Scatterv(mat_b,
	       scatter_sendcount,
	       scatter_displacement,
	       mpi_type_submatrix,
	       B_new,
	       subelem_dim_size * subelem_dim_size,
	       MPI_DOUBLE,
	       0,
	       mpi_comm_grid);

  // ** PERFORM FOX'S ALGORITHM FOR MATRIX MULTIPLICATION **
 
  for(k = 0; k < node_dim_size; k++) {
    
    // **** BROADCAST A **** //
   
    // Decide who broadcasts this iteration.
    fox_broadcaster = (k + rank_col) % node_dim_size;
    
    // Copy matrix to the broadcast variable of the node that shall broadcast.
    if(rank_row == fox_broadcaster)
      copyMatrix(A_bcast, A_mine, subelem_dim_size);
    
    // Perform the broadcasting of the A matrix.
    MPI_Bcast(A_bcast, 
	      subelem_dim_size * subelem_dim_size, 
	      MPI_DOUBLE, 
	      fox_broadcaster,
	      mpi_comm_row);

    // **** CREATE COPY OF B **** //
    
    // Wait for everyone to get their new B. If k = 0 everyone has it scattered.
    if(k != 0)
      MPI_Wait(&fox_recv_request, MPI_STATUS_IGNORE);
    
    // Make a copy of B so we can overwrite the old one.
    copyMatrix(B_old, B_new, subelem_dim_size);

    // **** SHIFT B **** //
    
    // Find which node to send to, and which to recieve from (B matrix).
    fox_recfrom = ((rank_col + 1) % node_dim_size);
    fox_sendto = ((rank_col - 1) % node_dim_size);
    if(fox_sendto < 0)
      fox_sendto = node_dim_size - 1;
    
    fox_sendtag = 1000 + fox_sendto;
    fox_rectag = 1000 + rank_col;

    // Send the B matrix.
    MPI_Isend(B_old,
	      subelem_dim_size * subelem_dim_size,
	      MPI_DOUBLE,
	      fox_sendto,
	      fox_sendtag,
	      mpi_comm_col,
	      &fox_send_request);

    // Receive the B matrix.
    MPI_Irecv(B_new,
	      subelem_dim_size * subelem_dim_size,
	      MPI_DOUBLE,
	      fox_recfrom,
	      fox_rectag,
	      mpi_comm_col,
	      &fox_recv_request);
    
    // Perform matrix multiplication on the local submatrix.
    naiveMatrixMult(A_bcast, B_old, C_mine, subelem_dim_size);

  }

  // ** GATHER DATA **

  MPI_Barrier(MPI_COMM_WORLD);

  // Collect C from submatrices.
  MPI_Gatherv(C_mine,
	      subelem_dim_size * subelem_dim_size,
	      MPI_DOUBLE,
	      mat_c,
	      scatter_sendcount,
	      scatter_displacement,
	      mpi_type_submatrix,
	      0,
	      mpi_comm_grid);

  // ** PRESENT DATA **
 
  if(verbose && !rank_grid) {
    printf("** Will print matrix C from 0:\n");
    printMatrix(mat_c, elem_dim_size);
  }
  
  // ** VERIFICATION OF CORRECTNESS **

  if(verify && !rank_grid) {

      // Allocate memory for verification matrix.
      mat_verify = (double *) 
	malloc(elem_dim_size * elem_dim_size * sizeof(double));
      
      // Initialize verification matrix to zeroes.
      zeroMatrix(mat_verify, elem_dim_size);

      // Do the naive multiplication.
      naiveMatrixMult(mat_a, mat_b, mat_verify, elem_dim_size);
      
      // Print the correct matrix.
      if(verbose) {
	printf("** Print correct matrix from 0:\n");
	printMatrix(mat_verify, elem_dim_size);
      }
      
      // Check equality between matrices.
      if(matrixEqual(mat_c, mat_verify, elem_dim_size))
	printf("\n   Ok!\n\n");
      else
	printf("\n   FAIL!\n\n");
       
      // Free the memory used by the verification matrix.
      free(mat_verify);
  }

  // ** FINALIZE MPI **

  MPI_Barrier(MPI_COMM_WORLD);
  
  if(rank_grid==0)
  {
    endtime = MPI_Wtime();
    printf("%f\n", endtime - starttime);
  } 
  MPI_Finalize();

  // ** CLEANUP **
  
  if(A_mine)
    free(A_mine);
  if(A_bcast)
     free(A_bcast);
  if(B_old)
     free(B_old);
  if(B_new)
    free(B_new);
  if(C_mine)
    free(C_mine);
  
  // Local rank 0 cleanup.
  if(rank_grid == 0) {
    free(mat_a);
    free(mat_b);
    free(mat_c);
  }

  return 0;
}
Beispiel #7
0
void SpeedTest(FunctionCall fc)
{
	int i, min, max, step, sec=0;
	int sizeTimeArray, fct;
	
	char fnc[MAXSIZE_FCT];
	char foutput[256];
	
	struct sigaction action;
	action.sa_handler = handler;
	sigemptyset(&action.sa_mask);
	
	struct timeval start, end, result;
	double maxtime = 0;
	double time;
	double usec;
	double* timeArray;
	
	Matrix a=NULL, b=NULL, tmp=NULL;
	E s;
	int n; 
	
	TokenizeSpeedTest(fc, fnc, &min, &max, &step, &sec);
	
	if (min>0 && max>0 && step>0)
	{
		sizeTimeArray = ((max-min)/step)+1;
		timeArray = (double*)malloc(sizeTimeArray*sizeof(double));
		for (i=0; i<sizeTimeArray; i++) timeArray[i] = 0;
	}
	
	usec = (double)sec * 1000000;
	
	sprintf(foutput, "speedtest_%s_%d_%d_%d_%d", fnc, min, max, step, sec);
	
	fct = GetFunction(fnc);
	
	switch (fct)
	{
		case NMX :
		{
			printf("\t You must specify another function\n");
			return;
		}
		
		case ADD :
		{
			sigaction(SIGINT, &action, NULL);
			
			for (i=min; i<=max; i+=step)
			{
				a = randomMatrix(i, i, MIN_E, MAX_E);
				b = randomMatrix(i, i, MIN_E, MAX_E);
				
				gettimeofday(&start, NULL);
				tmp = addMatricis(a, b);
				gettimeofday(&end, NULL);
				
				timersub(&end, &start, &result);
				time = (result.tv_sec*1000000)+result.tv_usec;
				if (maxtime < time) maxtime = time;
				
				timeArray[(i-min)/step] = time;
				printf("\t* %s Size:%5d ;\tTime:%8.0f µs ;\n", fnc, i, time);
				
				deleteMatrix(a);
				deleteMatrix(b);
				deleteMatrix(tmp);
				
				if (usec >= 1000000) {
					if (time >= usec) {
						i++;
						break;
					}
				}
				if (CTRLC) {
					i++;
					break;
				}
			}
			
			CreateGNUPLOTFile(min, i-step, step, timeArray, maxtime, foutput);
			break;
		}
		
		case SUB :
		{
			sigaction(SIGINT, &action, NULL);
			
			for (i=min; i<=max; i+=step)
			{
				a = randomMatrix(i, i, MIN_E, MAX_E);
				b = randomMatrix(i, i, MIN_E, MAX_E);
				
				gettimeofday(&start, NULL);
				tmp = substractMatricis(a, b);
				gettimeofday(&end, NULL);
				
				timersub(&end, &start, &result);
				time = (result.tv_sec*1000000)+result.tv_usec;
				if (maxtime < time) maxtime = time;
				
				timeArray[(i-min)/step] = time;
				printf("\t* %s Size:%5d ;\tTime:%8.0f µs ;\n", fnc, i, time);
				
				deleteMatrix(a);
				deleteMatrix(b);
				deleteMatrix(tmp);
				
				if (usec >= 1000000) {
					if (time >= usec) {
						i++;
						break;
					}
				}
				if (CTRLC) {
					i++;
					break;
				}
			}
			
			CreateGNUPLOTFile(min, i-step, step, timeArray, maxtime, foutput);
			break;
		}
		
		case MUL :
		{
			sigaction(SIGINT, &action, NULL);
			
			for (i=min; i<=max; i+=step)
			{
				a = randomMatrix(i, i, MIN_E, MAX_E);
				b = randomMatrix(i, i, MIN_E, MAX_E);
				
				gettimeofday(&start, NULL);
				tmp = mulMatricis(a, b);
				gettimeofday(&end, NULL);
				
				timersub(&end, &start, &result);
				time = (result.tv_sec*1000000)+result.tv_usec;
				if (maxtime < time) maxtime = time;
				
				timeArray[(i-min)/step] = time;
				printf("\t* %s Size:%5d ;\tTime:%8.0f µs ;\n", fnc, i, time);
				
				deleteMatrix(a);
				deleteMatrix(b);
				deleteMatrix(tmp);
				
				if (usec >= 1000000) {
					if (time >= usec) {
						i++;
						break;
					}
				}
				if (CTRLC) {
					i++;
					break;
				}
			}
			
			CreateGNUPLOTFile(min, i-step, step, timeArray, maxtime, foutput);
			break;
		}
		
		case MSC :
		{
			sigaction(SIGINT, &action, NULL);
			
			for (i=min; i<=max; i+=step)
			{
				a = randomMatrix(i, i, MIN_E, MAX_E);
				s = mRand(MIN_SCA, MAX_SCA);
				
				gettimeofday(&start, NULL);
				tmp = mult_scal(a, s);
				gettimeofday(&end, NULL);
				
				timersub(&end, &start, &result);
				time = (result.tv_sec*1000000)+result.tv_usec;
				if (maxtime < time) maxtime = time;
				
				timeArray[(i-min)/step] = time;
				printf("\t* %s Size:%5d ;\tTime:%8.0f µs ;\n", fnc, i, time);
				
				deleteMatrix(a);
				deleteMatrix(tmp);
				
				if (usec >= 1000000) {
					if (time >= usec) {
						i++;
						break;
					}
				}
				if (CTRLC) {
					i++;
					break;
				}
			}
			
			CreateGNUPLOTFile(min, i-step, step, timeArray, maxtime, foutput);
			break;
		}
		
		case EXP :
		{
			sigaction(SIGINT, &action, NULL);
			
			for (i=min; i<=max; i+=step)
			{
				a = randomMatrix(i, i, MIN_E, MAX_E);
				n = (int)mRand(MIN_EXP, MAX_EXP);
				
				gettimeofday(&start, NULL);
				tmp = expo(a, n);
				gettimeofday(&end, NULL);
				
				timersub(&end, &start, &result);
				time = (result.tv_sec*1000000)+result.tv_usec;
				if (maxtime < time) maxtime = time;
				
				timeArray[(i-min)/step] = time;
				printf("\t* %s Size:%5d ;\tTime:%8.0f µs ;\n", fnc, i, time);
				
				deleteMatrix(a);
				deleteMatrix(tmp);
				
				if (usec >= 1000000) {
					if (time >= usec) {
						i++;
						break;
					}
				}
				if (CTRLC) {
					i++;
					break;
				}
			}
			
			CreateGNUPLOTFile(min, i-step, step, timeArray, maxtime, foutput);
			break;
		}
		
		case TRA :
		{
			sigaction(SIGINT, &action, NULL);
			
			for (i=min; i<=max; i+=step)
			{
				a = randomMatrix(i, i, MIN_E, MAX_E);
				
				gettimeofday(&start, NULL);
				tmp = transposeMatrix(a);
				gettimeofday(&end, NULL);
				
				timersub(&end, &start, &result);
				time = (result.tv_sec*1000000)+result.tv_usec;
				if (maxtime < time) maxtime = time;
				
				timeArray[(i-min)/step] = time;
				printf("\t* %s Size:%5d ;\tTime:%8.0f µs ;\n", fnc, i, time);
				
				deleteMatrix(a);
				deleteMatrix(tmp);
				
				if (usec >= 1000000) {
					if (time >= usec) {
						i++;
						break;
					}
				}
				if (CTRLC) {
					i++;
					break;
				}
			}
			
			CreateGNUPLOTFile(min, i-step, step, timeArray, maxtime, foutput);
			break;
		}
		
		case DET :
		{
			sigaction(SIGINT, &action, NULL);
			
			for (i=min; i<=max; i+=step)
			{
				a = randomMatrix(i, i, MIN_E, MAX_E);
				
				gettimeofday(&start, NULL);
				s = determinant(a);
				gettimeofday(&end, NULL);
				
				timersub(&end, &start, &result);
				time = (result.tv_sec*1000000)+result.tv_usec;
				if (maxtime < time) maxtime = time;
				
				timeArray[(i-min)/step] = time;
				printf("\t* %s Size:%5d ;\tTime:%8.0f µs ;\n", fnc, i, time);
				
				deleteMatrix(a);
				
				if (usec >= 1000000) {
					if (time >= usec) {
						i++;
						break;
					}
				}
				if (CTRLC) {
					i++;
					break;
				}
			}
			
			CreateGNUPLOTFile(min, i-step, step, timeArray, maxtime, foutput);
			break;
		}
		
		case DLU :
		{
			sigaction(SIGINT, &action, NULL);
			
			for (i=min; i<=max; i+=step)
			{
				a = randomMatrix(i, i, MIN_E, MAX_E);
				b = newMatrix(i, i);
				tmp = identityMatrix(i);
				
				gettimeofday(&start, NULL);
				decomposition(a, b, tmp);
				gettimeofday(&end, NULL);
				
				timersub(&end, &start, &result);
				time = (result.tv_sec*1000000)+result.tv_usec;
				if (maxtime < time) maxtime = time;
				
				timeArray[(i-min)/step] = time;
				printf("\t* %s Size:%5d ;\tTime:%8.0f µs ;\n", fnc, i, time);
				
				deleteMatrix(a);
				deleteMatrix(b);
				deleteMatrix(tmp);
				
				if (usec >= 1000000) {
					if (time >= usec) {
						i++;
						break;
					}
				}
				if (CTRLC) {
					i++;
					break;
				}
			}
			
			CreateGNUPLOTFile(min, i-step, step, timeArray, maxtime, foutput);
			break;
		}
		
		case SOL :
		{
			sigaction(SIGINT, &action, NULL);
			
			for (i=min; i<=max; i+=step)
			{
				a = randomMatrix(i, i, MIN_E, MAX_E);
				b = randomMatrix(i, 1, MIN_E, MAX_E);
				
				gettimeofday(&start, NULL);
				tmp = gauss(a, b);
				gettimeofday(&end, NULL);
				
				timersub(&end, &start, &result);
				time = (result.tv_sec*1000000)+result.tv_usec;
				if (maxtime < time) maxtime = time;
				
				timeArray[(i-min)/step] = time;
				printf("\t* %s Size:%5d ;\tTime:%8.0f µs ;\n", fnc, i, time);
				
				deleteMatrix(a);
				deleteMatrix(b);
				deleteMatrix(tmp);
				
				if (usec >= 1000000) {
					if (time >= usec) {
						i++;
						break;
					}
				}
				if (CTRLC) {
					i++;
					break;
				}
			}
			
			CreateGNUPLOTFile(min, i-step, step, timeArray, maxtime, foutput);
			break;
		}
		
		case INV :
		{
			sigaction(SIGINT, &action, NULL);
			
			for (i=min; i<=max; i+=step)
			{
				a = randomMatrix(i, i, MIN_E, MAX_E);
				
				gettimeofday(&start, NULL);
				tmp = invert(a);
				gettimeofday(&end, NULL);
				
				timersub(&end, &start, &result);
				time = (result.tv_sec*1000000)+result.tv_usec;
				if (maxtime < time) maxtime = time;
				
				timeArray[(i-min)/step] = time;
				printf("\t* %s Size:%5d ;\tTime:%8.0f µs ;\n", fnc, i, time);
				
				deleteMatrix(a);
				deleteMatrix(tmp);
				
				if (usec >= 1000000) {
					if (time >= usec) {
						i++;
						break;
					}
				}
				if (CTRLC) {
					i++;
					break;
				}
			}
			
			CreateGNUPLOTFile(min, i-step, step, timeArray, maxtime, foutput);
			break;
		}
		
		case RNK :
		{
			sigaction(SIGINT, &action, NULL);
			
			for (i=min; i<=max; i+=step)
			{
				a = randomMatrix(i, i, MIN_E, MAX_E);
				
				gettimeofday(&start, NULL);
				n = rank(a);
				gettimeofday(&end, NULL);
				
				timersub(&end, &start, &result);
				time = (result.tv_sec*1000000)+result.tv_usec;
				if (maxtime < time) maxtime = time;
				
				timeArray[(i-min)/step] = time;
				printf("\t* %s Size:%5d ;\tTime:%8.0f µs ;\n", fnc, i, time);
				
				deleteMatrix(a);
				
				if (usec >= 1000000) {
					if (time >= usec) {
						i++;
						break;
					}
				}
				if (CTRLC) {
					i++;
					break;
				}
			}
			
			CreateGNUPLOTFile(min, i-step, step, timeArray, maxtime, foutput);
			break;
		}
		
		case VAR : // default
		case NOF : // default
		default :
		{
			printf("\t%s : Function Not Implemented\n", fnc);
			fni++;
			break;
		}
	}
	
	if (fct!=NOF && fct !=VAR) fni = 0;
	
	free(timeArray);
	CTRLC = 0;
	sigemptyset(&action.sa_mask);
}
Beispiel #8
0
int main(int argc, char *argv[])  {
  int numtasks, rank, dest, source, rc, count, tag=1;  
  MPI_Status Stat;
  
  // Seed random number generator.
  randomMatrixInit();

  MPI_Init(&argc,&argv);
  MPI_Comm_size(MPI_COMM_WORLD, &numtasks);
  MPI_Comm_rank(MPI_COMM_WORLD, &rank);
  
  double *A;
  double *B;
  
  if(argc==1)
    {
      printf("Specify matrix size\n");
      return 1;
    }
  
  int size=atoi(argv[1]);
  A = (double*)malloc(sizeof(double)*size*size);
  B = (double*)malloc(sizeof(double)*size*size);
  randomMatrix(A,size);
  randomMatrix(B,size);
  
  //  int Atest[]={1,2,3,4,5,6,7,8,9};
  //  int Btest[]={3,2,1,6,5,4,4,3,2};
  //  A=Atest;
  //  B=Btest;
  
  if(numtasks>size*size)
    numtasks=size*size;
  
  int minCells=size*size/(numtasks);
  int extra=size*size-minCells*(numtasks);
  int pad=0;
  
  
  if (rank == 0) {
    dest = 1;
    source = 1;
    
    double *C;
    
    C = (double*)malloc(sizeof(double)*size*size);
    
    double *ret = (double*)malloc(sizeof(double)*size*size/(numtasks)+1);
    
    for(int cell=0; cell<minCells; cell++)
      {
        C[cell]=0;
        for(int j=0; j<size; j++)
	  C[cell]+=A[(cell/size)*size+j]*B[j*size+cell%size];
	//     printf("Calculating job %d. C[%d]=%d\n", rank, cell, C[cell]);
      }
    
    for(int i=1; i<numtasks; i++)
      {
        int noCells=minCells;
        if(i>=numtasks-extra)
	  {
            pad=i-numtasks+extra;
            noCells++;
	  }
	
	
        rc = MPI_Recv(ret, noCells, MPI_DOUBLE, i, tag, MPI_COMM_WORLD, &Stat);
        for(int j=0; j<noCells; j++)
	  {
            int cell = minCells*i+pad+j;
	    //            if(cell>size*size-1)
	    //               printf("  KUK!\n");
            C[cell]=ret[j];
	    //            printf("C[%d]=ret[%d]=%d\n",cell, j, ret[j]);
	  }
      }
    //    printMatrix(A, size);
    //    printf("*\n");
    //    printMatrix(B, size);
    //    printf("=\n");
    //    printMatrix(C, size);
    //    printf("\nControl:\n");
    double *D;
    if(argc==3 && strcmp(argv[2],"verify") == 0)
      {
	D = (double*)malloc(sizeof(double)*size*size);
	naiveMatrixMult(A,B,D,size);
	
	//    printMatrix(D, size);
	if(matrixEqual(C,D,size))
	  printf("\n   Ok!\n\n");
	else
	  printf("\n   FAIL!\n\n");
	free(D);
      }
    free(A);
    free(B);
    free(C);
  } 
  
  else if (rank+1 <= size*size) {
    int noCells=minCells;
    if(rank>=numtasks-extra)
      {
        pad=rank-numtasks+extra;
        noCells++;
      }
    // printf("noCells: %d    extra: %d    rank: %d\n", noCells, extra, rank);
    
    double *ret = (double*)calloc(noCells,sizeof(double));
    
    for(int i=0; i<noCells; i++)
      {
        ret[i] = 0;
        int cell=minCells*(rank)+pad+i;
	
        for(int j=0; j<size; j++)
	  ret[i]+=A[(cell/size)*size+j]*B[j*size+cell%size];
	//        printf("Calculating job %d. C[%d]=%d\n", rank, cell, ret[i]);
      }
    rc = MPI_Send(ret, noCells, MPI_DOUBLE, 0, tag, MPI_COMM_WORLD);
    
  }
  
  else {
    
  }
  
  MPI_Finalize();
  return 0;
}