ViennaCL - The Vienna Computing Library  1.7.1
Free open-source GPU-accelerated linear algebra and solver library.
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matrix-range.cpp
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1 /* =========================================================================
2  Copyright (c) 2010-2016, Institute for Microelectronics,
3  Institute for Analysis and Scientific Computing,
4  TU Wien.
5  Portions of this software are copyright by UChicago Argonne, LLC.
6 
7  -----------------
8  ViennaCL - The Vienna Computing Library
9  -----------------
10 
11  Project Head: Karl Rupp rupp@iue.tuwien.ac.at
12 
13  (A list of authors and contributors can be found in the PDF manual)
14 
15  License: MIT (X11), see file LICENSE in the base directory
16 ============================================================================= */
17 
26 // activate ublas support in ViennaCL
27 #define VIENNACL_WITH_UBLAS
28 
29 // System headers
30 #include <iostream>
31 #include <string>
32 
33 
34 // ViennaCL headers
35 #include "viennacl/scalar.hpp"
36 #include "viennacl/matrix.hpp"
37 #include "viennacl/linalg/prod.hpp"
39 
40 
41 // Boost headers
42 #include "boost/numeric/ublas/vector.hpp"
43 #include "boost/numeric/ublas/matrix.hpp"
44 #include "boost/numeric/ublas/matrix_proxy.hpp"
45 #include "boost/numeric/ublas/io.hpp"
46 
51 int main (int, const char **)
52 {
53  // feel free to change this to 'double' if supported by your hardware
54  typedef float ScalarType;
55  typedef boost::numeric::ublas::matrix<ScalarType> MatrixType;
56 
58 
62  std::size_t dim_large = 5;
63  std::size_t dim_small = 3;
64 
65  MatrixType ublas_A(dim_large, dim_large);
66  MatrixType ublas_B(dim_small, dim_small);
67  MatrixType ublas_C(dim_large, dim_small);
68  MatrixType ublas_D(dim_small, dim_large);
69 
70 
71  for (std::size_t i=0; i<ublas_A.size1(); ++i)
72  for (std::size_t j=0; j<ublas_A.size2(); ++j)
73  ublas_A(i,j) = static_cast<ScalarType>((i+1) + (j+1)*(i+1));
74 
75  for (std::size_t i=0; i<ublas_B.size1(); ++i)
76  for (std::size_t j=0; j<ublas_B.size2(); ++j)
77  ublas_B(i,j) = static_cast<ScalarType>((i+1) + (j+1)*(i+1));
78 
79  for (std::size_t i=0; i<ublas_C.size1(); ++i)
80  for (std::size_t j=0; j<ublas_C.size2(); ++j)
81  ublas_C(i,j) = static_cast<ScalarType>((j+2) + (j+1)*(i+1));
82 
83  for (std::size_t i=0; i<ublas_D.size1(); ++i)
84  for (std::size_t j=0; j<ublas_D.size2(); ++j)
85  ublas_D(i,j) = static_cast<ScalarType>((j+2) + (j+1)*(i+1));
86 
90  boost::numeric::ublas::range ublas_r1(0, dim_small); //the first 'dim_small' entries
91  boost::numeric::ublas::range ublas_r2(dim_large - dim_small, dim_large); //the last 'dim_small' entries
92  boost::numeric::ublas::matrix_range<MatrixType> ublas_A_sub1(ublas_A, ublas_r1, ublas_r1); //upper left part of A
93  boost::numeric::ublas::matrix_range<MatrixType> ublas_A_sub2(ublas_A, ublas_r2, ublas_r2); //lower right part of A
94 
95  boost::numeric::ublas::matrix_range<MatrixType> ublas_C_sub(ublas_C, ublas_r1, ublas_r1); //upper left part of C
96  boost::numeric::ublas::matrix_range<MatrixType> ublas_D_sub(ublas_D, ublas_r1, ublas_r1); //upper left part of D
97 
101  VCLMatrixType vcl_A(dim_large, dim_large);
102  VCLMatrixType vcl_B(dim_small, dim_small);
103  VCLMatrixType vcl_C(dim_large, dim_small);
104  VCLMatrixType vcl_D(dim_small, dim_large);
105 
106  viennacl::copy(ublas_A, vcl_A);
107  viennacl::copy(ublas_B, vcl_B);
108  viennacl::copy(ublas_C, vcl_C);
109  viennacl::copy(ublas_D, vcl_D);
110 
114  viennacl::range vcl_r1(0, dim_small); //the first 'dim_small' entries
115  viennacl::range vcl_r2(dim_large - dim_small, dim_large); //the last 'dim_small' entries
116  viennacl::matrix_range<VCLMatrixType> vcl_A_sub1(vcl_A, vcl_r1, vcl_r1); //upper left part of A
117  viennacl::matrix_range<VCLMatrixType> vcl_A_sub2(vcl_A, vcl_r2, vcl_r2); //lower right part of A
118 
119  viennacl::matrix_range<VCLMatrixType> vcl_C_sub(vcl_C, vcl_r1, vcl_r1); //upper left part of C
120  viennacl::matrix_range<VCLMatrixType> vcl_D_sub(vcl_D, vcl_r1, vcl_r1); //upper left part of D
121 
126  ublas_A_sub1 = ublas_B;
127  viennacl::copy(ublas_B, vcl_A_sub1);
128  viennacl::copy(vcl_A_sub1, ublas_B);
129 
134  // range to range:
135  ublas_A_sub2 += ublas_A_sub2;
136  vcl_A_sub2 += vcl_A_sub2;
137 
138  // range to matrix:
139  ublas_B += ublas_A_sub2;
140  vcl_B += vcl_A_sub2;
141 
142 
146  ublas_A_sub1 += prod(ublas_C_sub, ublas_D_sub);
147  vcl_A_sub1 += viennacl::linalg::prod(vcl_C_sub, vcl_D_sub);
148 
152  std::cout << "Result ublas: " << ublas_A << std::endl;
153  std::cout << "Result ViennaCL: " << vcl_A << std::endl;
154 
158  std::cout << "!!!! TUTORIAL COMPLETED SUCCESSFULLY !!!!" << std::endl;
159 
160  return EXIT_SUCCESS;
161 }
162 
Generic interface for matrix-vector and matrix-matrix products. See viennacl/linalg/vector_operations...
Implementation of the dense matrix class.
int main()
Definition: bisect.cpp:91
A dense matrix class.
Definition: forwards.h:375
basic_range range
Definition: forwards.h:424
VectorT prod(std::vector< std::vector< T, A1 >, A2 > const &matrix, VectorT const &vector)
Definition: prod.hpp:102
Proxy classes for matrices.
void prod(std::vector< std::map< IndexT, NumericT > > const &stl_A, std::vector< std::map< IndexT, NumericT > > const &stl_B, std::vector< std::map< IndexT, NumericT > > &stl_C)
void copy(std::vector< NumericT > &cpu_vec, circulant_matrix< NumericT, AlignmentV > &gpu_mat)
Copies a circulant matrix from the std::vector to the OpenCL device (either GPU or multi-core CPU) ...
A range class that refers to an interval [start, stop), where 'start' is included, and 'stop' is excluded.
Definition: forwards.h:424
float ScalarType
Definition: fft_1d.cpp:42
Class for representing non-strided submatrices of a bigger matrix A.
Definition: forwards.h:440
Implementation of the ViennaCL scalar class.