ViennaCL - The Vienna Computing Library  1.7.1
Free open-source GPU-accelerated linear algebra and solver library.
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blas3_host.cpp
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1 /* =========================================================================
2  Copyright (c) 2010-2014, 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 
18 // include necessary system headers
19 #include <iostream>
20 
21 #include "viennacl.hpp"
22 #include "viennacl_private.hpp"
23 
24 #include "blas3.hpp"
25 
26 //include basic scalar and vector types of ViennaCL
27 #include "viennacl/scalar.hpp"
28 #include "viennacl/vector.hpp"
29 #include "viennacl/matrix.hpp"
31 #include "viennacl/linalg/prod.hpp"
32 
33 
34 //
35 // xGEMV
36 //
37 
38 namespace detail
39 {
40  template <typename NumericT>
42  ViennaCLOrder orderA, ViennaCLTranspose transA,
43  ViennaCLOrder orderB, ViennaCLTranspose transB,
44  ViennaCLOrder orderC,
46  NumericT alpha,
47  NumericT *A, ViennaCLInt offA_row, ViennaCLInt offA_col, ViennaCLInt incA_row, ViennaCLInt incA_col, ViennaCLInt lda,
48  NumericT *B, ViennaCLInt offB_row, ViennaCLInt offB_col, ViennaCLInt incB_row, ViennaCLInt incB_col, ViennaCLInt ldb,
49  NumericT beta,
50  NumericT *C, ViennaCLInt offC_row, ViennaCLInt offC_col, ViennaCLInt incC_row, ViennaCLInt incC_col, ViennaCLInt ldc)
51  {
52  typedef typename viennacl::matrix_base<NumericT>::size_type size_type;
53  typedef typename viennacl::matrix_base<NumericT>::size_type difference_type;
54 
55  size_type A_size1 = static_cast<size_type>((transA == ViennaCLTrans) ? k : m);
56  size_type A_size2 = static_cast<size_type>((transA == ViennaCLTrans) ? m : k);
57 
58  size_type B_size1 = static_cast<size_type>((transB == ViennaCLTrans) ? n : k);
59  size_type B_size2 = static_cast<size_type>((transB == ViennaCLTrans) ? k : n);
60 
61  bool A_row_major = (orderA == ViennaCLRowMajor);
62  bool B_row_major = (orderB == ViennaCLRowMajor);
63  bool C_row_major = (orderC == ViennaCLRowMajor);
64 
66  A_size1, size_type(offA_row), difference_type(incA_row), size_type(A_row_major ? m : lda),
67  A_size2, size_type(offA_col), difference_type(incA_col), size_type(A_row_major ? lda : k), A_row_major);
68 
70  B_size1, size_type(offB_row), difference_type(incB_row), size_type(B_row_major ? k : ldb),
71  B_size2, size_type(offB_col), difference_type(incB_col), size_type(B_row_major ? ldb : n), B_row_major);
72 
74  size_type(m), size_type(offC_row), difference_type(incC_row), size_type(C_row_major ? m : ldc),
75  size_type(n), size_type(offC_col), difference_type(incC_col), size_type(C_row_major ? ldc : n), C_row_major);
76 
77  detail::gemm_dispatch(alpha, matA, transA, matB, transB, beta, matC);
78 
79  return ViennaCLSuccess;
80  }
81 
82 }
83 
84 
86  ViennaCLOrder orderA, ViennaCLTranspose transA,
87  ViennaCLOrder orderB, ViennaCLTranspose transB,
88  ViennaCLOrder orderC,
90  float alpha,
91  float *A, ViennaCLInt offA_row, ViennaCLInt offA_col, ViennaCLInt incA_row, ViennaCLInt incA_col, ViennaCLInt lda,
92  float *B, ViennaCLInt offB_row, ViennaCLInt offB_col, ViennaCLInt incB_row, ViennaCLInt incB_col, ViennaCLInt ldb,
93  float beta,
94  float *C, ViennaCLInt offC_row, ViennaCLInt offC_col, ViennaCLInt incC_row, ViennaCLInt incC_col, ViennaCLInt ldc)
95 {
96  return detail::ViennaCLHostgemm_impl<float>(backend,
97  orderA, transA,
98  orderB, transB,
99  orderC,
100  m, n, k,
101  alpha,
102  A, offA_row, offA_col, incA_row, incA_col, lda,
103  B, offB_row, offB_col, incB_row, incB_col, ldb,
104  beta,
105  C, offC_row, offC_col, incC_row, incC_col, ldc);
106 }
107 
109  ViennaCLOrder orderA, ViennaCLTranspose transA,
110  ViennaCLOrder orderB, ViennaCLTranspose transB,
111  ViennaCLOrder orderC,
113  double alpha,
114  double *A, ViennaCLInt offA_row, ViennaCLInt offA_col, ViennaCLInt incA_row, ViennaCLInt incA_col, ViennaCLInt lda,
115  double *B, ViennaCLInt offB_row, ViennaCLInt offB_col, ViennaCLInt incB_row, ViennaCLInt incB_col, ViennaCLInt ldb,
116  double beta,
117  double *C, ViennaCLInt offC_row, ViennaCLInt offC_col, ViennaCLInt incC_row, ViennaCLInt incC_col, ViennaCLInt ldc)
118 {
119  return detail::ViennaCLHostgemm_impl<double>(backend,
120  orderA, transA,
121  orderB, transB,
122  orderC,
123  m, n, k,
124  alpha,
125  A, offA_row, offA_col, incA_row, incA_col, lda,
126  B, offB_row, offB_col, incB_row, incB_col, ldb,
127  beta,
128  C, offC_row, offC_col, incC_row, incC_col, ldc);
129 }
130 
131 
ViennaCLTranspose
Definition: viennacl.hpp:68
Generic backend for CUDA, OpenCL, host-based stuff.
void gemm_dispatch(ScalarType alpha, MatrixTypeA const &A, ViennaCLTranspose transA, MatrixTypeB const &B, ViennaCLTranspose transB, ScalarType beta, MatrixTypeC &C)
Definition: blas3.hpp:39
Generic interface for matrix-vector and matrix-matrix products. See viennacl/linalg/vector_operations...
Implementation of the dense matrix class.
ViennaCLStatus
Definition: viennacl.hpp:97
#define VIENNACL_EXPORTED_FUNCTION
Definition: viennacl.hpp:40
float NumericT
Definition: bisect.cpp:40
ViennaCLOrder
Definition: viennacl.hpp:61
VIENNACL_EXPORTED_FUNCTION ViennaCLStatus ViennaCLHostDgemm(ViennaCLBackend backend, ViennaCLOrder orderA, ViennaCLTranspose transA, ViennaCLOrder orderB, ViennaCLTranspose transB, ViennaCLOrder orderC, ViennaCLInt m, ViennaCLInt n, ViennaCLInt k, double alpha, double *A, ViennaCLInt offA_row, ViennaCLInt offA_col, ViennaCLInt incA_row, ViennaCLInt incA_col, ViennaCLInt lda, double *B, ViennaCLInt offB_row, ViennaCLInt offB_col, ViennaCLInt incB_row, ViennaCLInt incB_col, ViennaCLInt ldb, double beta, double *C, ViennaCLInt offC_row, ViennaCLInt offC_col, ViennaCLInt incC_row, ViennaCLInt incC_col, ViennaCLInt ldc)
Definition: blas3_host.cpp:108
int ViennaCLInt
Definition: viennacl.hpp:48
Implementations of dense direct solvers are found here.
VIENNACL_EXPORTED_FUNCTION ViennaCLStatus ViennaCLHostSgemm(ViennaCLBackend backend, ViennaCLOrder orderA, ViennaCLTranspose transA, ViennaCLOrder orderB, ViennaCLTranspose transB, ViennaCLOrder orderC, ViennaCLInt m, ViennaCLInt n, ViennaCLInt k, float alpha, float *A, ViennaCLInt offA_row, ViennaCLInt offA_col, ViennaCLInt incA_row, ViennaCLInt incA_col, ViennaCLInt lda, float *B, ViennaCLInt offB_row, ViennaCLInt offB_col, ViennaCLInt incB_row, ViennaCLInt incB_col, ViennaCLInt ldb, float beta, float *C, ViennaCLInt offC_row, ViennaCLInt offC_col, ViennaCLInt incC_row, ViennaCLInt incC_col, ViennaCLInt ldc)
Definition: blas3_host.cpp:85
The vector type with operator-overloads and proxy classes is defined here. Linear algebra operations ...
ViennaCLStatus ViennaCLHostgemm_impl(ViennaCLBackend, ViennaCLOrder orderA, ViennaCLTranspose transA, ViennaCLOrder orderB, ViennaCLTranspose transB, ViennaCLOrder orderC, ViennaCLInt m, ViennaCLInt n, ViennaCLInt k, NumericT alpha, NumericT *A, ViennaCLInt offA_row, ViennaCLInt offA_col, ViennaCLInt incA_row, ViennaCLInt incA_col, ViennaCLInt lda, NumericT *B, ViennaCLInt offB_row, ViennaCLInt offB_col, ViennaCLInt incB_row, ViennaCLInt incB_col, ViennaCLInt ldb, NumericT beta, NumericT *C, ViennaCLInt offC_row, ViennaCLInt offC_col, ViennaCLInt incC_row, ViennaCLInt incC_col, ViennaCLInt ldc)
Definition: blas3_host.cpp:41
Implementation of the ViennaCL scalar class.