ViennaCL - The Vienna Computing Library  1.5.2
viennacl/linalg/opencl/kernels/ell_matrix.hpp
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00001 #ifndef VIENNACL_LINALG_OPENCL_KERNELS_ELL_MATRIX_HPP
00002 #define VIENNACL_LINALG_OPENCL_KERNELS_ELL_MATRIX_HPP
00003 
00004 #include "viennacl/tools/tools.hpp"
00005 #include "viennacl/ocl/kernel.hpp"
00006 #include "viennacl/ocl/platform.hpp"
00007 #include "viennacl/ocl/utils.hpp"
00008 
00009 #include "viennacl/linalg/opencl/common.hpp"
00010 
00013 namespace viennacl
00014 {
00015   namespace linalg
00016   {
00017     namespace opencl
00018     {
00019       namespace kernels
00020       {
00021 
00023 
00024         template <typename StringType>
00025         void generate_ell_vec_mul(StringType & source, std::string const & numeric_string)
00026         {
00027           source.append("__kernel void vec_mul( \n");
00028           source.append("  __global const unsigned int * coords, \n");
00029           source.append("  __global const "); source.append(numeric_string); source.append(" * elements, \n");
00030           source.append("  __global const "); source.append(numeric_string); source.append(" * x, \n");
00031           source.append("  uint4 layout_x, \n");
00032           source.append("  __global "); source.append(numeric_string); source.append(" * result, \n");
00033           source.append("  uint4 layout_result, \n");
00034           source.append("  unsigned int row_num, \n");
00035           source.append("  unsigned int col_num, \n");
00036           source.append("  unsigned int internal_row_num, \n");
00037           source.append("  unsigned int items_per_row, \n");
00038           source.append("  unsigned int aligned_items_per_row) \n");
00039           source.append("{ \n");
00040           source.append("  uint glb_id = get_global_id(0); \n");
00041           source.append("  uint glb_sz = get_global_size(0); \n");
00042 
00043           source.append("  for(uint row_id = glb_id; row_id < row_num; row_id += glb_sz) { \n");
00044           source.append("    "); source.append(numeric_string); source.append(" sum = 0; \n");
00045 
00046           source.append("    uint offset = row_id; \n");
00047           source.append("    for(uint item_id = 0; item_id < items_per_row; item_id++, offset += internal_row_num) { \n");
00048           source.append("      "); source.append(numeric_string); source.append(" val = elements[offset]; \n");
00049 
00050           source.append("       if(val != 0.0f) { \n");
00051           source.append("          int col = coords[offset]; \n");
00052           source.append("          sum += (x[col * layout_x.y + layout_x.x] * val); \n");
00053           source.append("       } \n");
00054 
00055           source.append("    } \n");
00056 
00057           source.append("    result[row_id * layout_result.y + layout_result.x] = sum; \n");
00058           source.append("  } \n");
00059           source.append("} \n");
00060         }
00061 
00062         namespace detail
00063         {
00064           template <typename StringType>
00065           void generate_ell_matrix_dense_matrix_mul(StringType & source, std::string const & numeric_string,
00066                                                     bool B_transposed, bool B_row_major, bool C_row_major)
00067           {
00068             source.append("__kernel void ");
00069             source.append(viennacl::linalg::opencl::detail::sparse_dense_matmult_kernel_name(B_transposed, B_row_major, C_row_major));
00070             source.append("( \n");
00071             source.append("    __global const unsigned int * sp_mat_coords, \n");
00072             source.append("    __global const "); source.append(numeric_string); source.append(" * sp_mat_elems, \n");
00073             source.append("    unsigned int sp_mat_row_num, \n");
00074             source.append("    unsigned int sp_mat_col_num, \n");
00075             source.append("    unsigned int sp_mat_internal_row_num, \n");
00076             source.append("    unsigned int sp_mat_items_per_row, \n");
00077             source.append("    unsigned int sp_mat_aligned_items_per_row, \n");
00078             source.append("    __global const "); source.append(numeric_string); source.append("* d_mat, \n");
00079             source.append("    unsigned int d_mat_row_start, \n");
00080             source.append("    unsigned int d_mat_col_start, \n");
00081             source.append("    unsigned int d_mat_row_inc, \n");
00082             source.append("    unsigned int d_mat_col_inc, \n");
00083             source.append("    unsigned int d_mat_row_size, \n");
00084             source.append("    unsigned int d_mat_col_size, \n");
00085             source.append("    unsigned int d_mat_internal_rows, \n");
00086             source.append("    unsigned int d_mat_internal_cols, \n");
00087             source.append("    __global "); source.append(numeric_string); source.append(" * result, \n");
00088             source.append("    unsigned int result_row_start, \n");
00089             source.append("    unsigned int result_col_start, \n");
00090             source.append("    unsigned int result_row_inc, \n");
00091             source.append("    unsigned int result_col_inc, \n");
00092             source.append("    unsigned int result_row_size, \n");
00093             source.append("    unsigned int result_col_size, \n");
00094             source.append("    unsigned int result_internal_rows, \n");
00095             source.append("    unsigned int result_internal_cols) { \n");
00096 
00097             source.append("    uint glb_id = get_global_id(0); \n");
00098             source.append("    uint glb_sz = get_global_size(0); \n");
00099 
00100             source.append("    for( uint rc = glb_id; rc < (sp_mat_row_num * result_col_size); rc += glb_sz) { \n");
00101             source.append("      uint row = rc % sp_mat_row_num; \n");
00102             source.append("      uint col = rc / sp_mat_row_num; \n");
00103 
00104             source.append("      uint offset = row; \n");
00105             source.append("      "); source.append(numeric_string); source.append(" r = ("); source.append(numeric_string); source.append(")0; \n");
00106 
00107             source.append("      for( uint k = 0; k < sp_mat_items_per_row; k++, offset += sp_mat_internal_row_num) { \n");
00108 
00109             source.append("        uint j = sp_mat_coords[offset]; \n");
00110             source.append("        "); source.append(numeric_string); source.append(" x = sp_mat_elems[offset]; \n");
00111 
00112             source.append("        if(x != ("); source.append(numeric_string); source.append(")0) { \n");
00113             source.append("          "); source.append(numeric_string);
00114             if (B_transposed && B_row_major)
00115               source.append(" y = d_mat[ (d_mat_row_start + col * d_mat_row_inc) * d_mat_internal_cols + d_mat_col_start + j * d_mat_col_inc ]; \n");
00116             else if (B_transposed && !B_row_major)
00117               source.append(" y = d_mat[ (d_mat_row_start + col * d_mat_row_inc)                       + (d_mat_col_start + j * d_mat_col_inc) * d_mat_internal_rows ]; \n");
00118             else if (!B_transposed && B_row_major)
00119               source.append(" y = d_mat[ (d_mat_row_start +   j * d_mat_row_inc) * d_mat_internal_cols + d_mat_col_start + col * d_mat_col_inc ]; \n");
00120             else
00121               source.append(" y = d_mat[ (d_mat_row_start +   j * d_mat_row_inc)                       + (d_mat_col_start + col * d_mat_col_inc) * d_mat_internal_rows ]; \n");
00122 
00123             source.append("          r += x*y; \n");
00124             source.append("        } \n");
00125             source.append("      } \n");
00126 
00127             if (C_row_major)
00128               source.append("      result[ (result_row_start + row * result_row_inc) * result_internal_cols + result_col_start + col * result_col_inc ] = r; \n");
00129             else
00130               source.append("      result[ (result_row_start + row * result_row_inc)                        + (result_col_start + col * result_col_inc) * result_internal_rows ] = r; \n");
00131             source.append("    } \n");
00132             source.append("} \n");
00133 
00134           }
00135         }
00136 
00137         template <typename StringType>
00138         void generate_ell_matrix_dense_matrix_multiplication(StringType & source, std::string const & numeric_string)
00139         {
00140           detail::generate_ell_matrix_dense_matrix_mul(source, numeric_string, false, false, false);
00141           detail::generate_ell_matrix_dense_matrix_mul(source, numeric_string, false, false,  true);
00142           detail::generate_ell_matrix_dense_matrix_mul(source, numeric_string, false,  true, false);
00143           detail::generate_ell_matrix_dense_matrix_mul(source, numeric_string, false,  true,  true);
00144 
00145           detail::generate_ell_matrix_dense_matrix_mul(source, numeric_string, true, false, false);
00146           detail::generate_ell_matrix_dense_matrix_mul(source, numeric_string, true, false,  true);
00147           detail::generate_ell_matrix_dense_matrix_mul(source, numeric_string, true,  true, false);
00148           detail::generate_ell_matrix_dense_matrix_mul(source, numeric_string, true,  true,  true);
00149         }
00150 
00152 
00153         // main kernel class
00155         template <typename NumericT>
00156         struct ell_matrix
00157         {
00158           static std::string program_name()
00159           {
00160             return viennacl::ocl::type_to_string<NumericT>::apply() + "_ell_matrix";
00161           }
00162 
00163           static void init(viennacl::ocl::context & ctx)
00164           {
00165             viennacl::ocl::DOUBLE_PRECISION_CHECKER<NumericT>::apply(ctx);
00166             std::string numeric_string = viennacl::ocl::type_to_string<NumericT>::apply();
00167 
00168             static std::map<cl_context, bool> init_done;
00169             if (!init_done[ctx.handle().get()])
00170             {
00171               std::string source;
00172               source.reserve(1024);
00173 
00174               viennacl::ocl::append_double_precision_pragma<NumericT>(ctx, source);
00175 
00176               // fully parametrized kernels:
00177               generate_ell_vec_mul(source, numeric_string);
00178               generate_ell_matrix_dense_matrix_multiplication(source, numeric_string);
00179 
00180               std::string prog_name = program_name();
00181               #ifdef VIENNACL_BUILD_INFO
00182               std::cout << "Creating program " << prog_name << std::endl;
00183               #endif
00184               ctx.add_program(source, prog_name);
00185               init_done[ctx.handle().get()] = true;
00186             } //if
00187           } //init
00188         };
00189 
00190       }  // namespace kernels
00191     }  // namespace opencl
00192   }  // namespace linalg
00193 }  // namespace viennacl
00194 #endif
00195