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viennacl/device_specific/templates/row_wise_reduction_template.hpp
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    00001 #ifndef VIENNACL_DEVICE_SPECIFIC_TEMPLATES_ROW_WISE_REDUCTION_HPP
    00002 #define VIENNACL_DEVICE_SPECIFIC_TEMPLATES_ROW_WISE_REDUCTION_HPP
    00003
    00004 /* =========================================================================
    00005    Copyright (c) 2010-2015, Institute for Microelectronics,
    00006                             Institute for Analysis and Scientific Computing,
    00007                             TU Wien.
    00008    Portions of this software are copyright by UChicago Argonne, LLC.
    00009
    00010                             -----------------
    00011                   ViennaCL - The Vienna Computing Library
    00012                             -----------------
    00013
    00014    Project Head:    Karl Rupp                   rupp@iue.tuwien.ac.at
    00015
    00016    (A list of authors and contributors can be found in the manual)
    00017
    00018    License:         MIT (X11), see file LICENSE in the base directory
    00019 ============================================================================= */
    00020
    00021
    00027 #include <vector>
    00028
    00029 #include "viennacl/scheduler/forwards.h"
    00030
    00031 #include "viennacl/device_specific/mapped_objects.hpp"
    00032 #include "viennacl/device_specific/tree_parsing.hpp"
    00033 #include "viennacl/device_specific/utils.hpp"
    00034
    00035 #include "viennacl/device_specific/templates/template_base.hpp"
    00036 #include "viennacl/device_specific/templates/utils.hpp"
    00037
    00038 #include "viennacl/tools/tools.hpp"
    00039
    00040 #include "viennacl/scheduler/io.hpp"
    00041
    00042 namespace viennacl
    00043 {
    00044 namespace device_specific
    00045 {
    00046
    00047 struct row_wise_reduction_parameters : public template_base::parameters_type
    00048 {
    00049   row_wise_reduction_parameters(unsigned int _simd_width,
    00050                                 unsigned int _local_size_0, unsigned int _local_size_1,
    00051                                 unsigned int _num_groups_0, fetching_policy_type _fetch_policy): template_base::parameters_type(_simd_width, _local_size_0, _local_size_1, 1),
    00052     num_groups_0(_num_groups_0), fetch_policy(_fetch_policy) { }
    00053
    00054   unsigned int num_groups_0;
    00055   fetching_policy_type fetch_policy;
    00056 };
    00057
    00058 class row_wise_reduction_template : public template_base_impl<row_wise_reduction_template, row_wise_reduction_parameters>
    00059 {
    00060 private:
    00061   virtual int check_invalid_impl(viennacl::ocl::device const & /*dev*/) const
    00062   {
    00063     if (p_.fetch_policy==FETCH_FROM_LOCAL)
    00064       return TEMPLATE_INVALID_FETCHING_POLICY_TYPE;
    00065     return TEMPLATE_VALID;
    00066   }
    00067
    00068   unsigned int n_lmem_elements() const
    00069   {
    00070     return p_.local_size_0*(p_.local_size_1+1);
    00071   }
    00072
    00073   static void parse(scheduler::statement const & statement, std::vector<vcl_size_t> & idx, bool & is_trans, scheduler::lhs_rhs_element & matrix)
    00074   {
    00075     tree_parsing::traverse(statement, statement.root(), tree_parsing::filter(&utils::is_reduction, idx), false);
    00076     is_trans = is_node_trans(statement.array(), idx[0], LHS_NODE_TYPE);
    00077     matrix = lhs_most(statement.array(), idx[0]).lhs;
    00078   }
    00079
    00080   std::string generate_impl(std::string const & kernel_prefix, statements_container const & statements, std::vector<mapping_type> const & mappings, unsigned int simd_width, bool is_trans, std::vector<mapped_row_wise_reduction*> const & exprs) const
    00081   {
    00082     using tools::to_string;
    00083
    00084     unsigned int lsize0 = p_.local_size_0;
    00085     unsigned int lsize1 = p_.local_size_1+1;
    00086     std::string lsize1str = to_string(lsize1);
    00087
    00088     utils::kernel_generation_stream stream;
    00089
    00090     stream << " __attribute__((reqd_work_group_size(" << p_.local_size_0 << "," << p_.local_size_1 << ",1)))" << std::endl;
    00091     generate_prototype(stream, kernel_prefix, "unsigned int M, unsigned int N,", mappings, statements);
    00092     stream << "{" << std::endl;
    00093     stream.inc_tab();
    00094
    00095     tree_parsing::process(stream, PARENT_NODE_TYPE, "scalar", "#scalartype #namereg = *#pointer;", statements, mappings);
    00096     tree_parsing::process(stream, PARENT_NODE_TYPE, "matrix", "#pointer += #start1 + #start2*#ld;", statements, mappings);
    00097     tree_parsing::process(stream, PARENT_NODE_TYPE, "vector", "#pointer += #start;", statements, mappings);
    00098
    00099     tree_parsing::process(stream, PARENT_NODE_TYPE, "matrix", "#ld *= #nldstride;", statements, mappings);
    00100
    00101     for (std::vector<mapped_row_wise_reduction*>::const_iterator it = exprs.begin(); it != exprs.end(); ++it)
    00102       stream << (*it)->process("__local #scalartype #name_buf[" + to_string(lsize0*lsize1) + "];") << std::endl;
    00103
    00104     stream << "unsigned int lid0 = get_local_id(0);" << std::endl;
    00105     stream << "unsigned int lid1 = get_local_id(1);" << std::endl;
    00106     stream << "unsigned int upper_bound_0 = ( M +" << p_.local_size_0 - 1 << ")/" << p_.local_size_0 << "*" << p_.local_size_0 << ";" << std::endl;
    00107     stream << "for(unsigned int r = get_global_id(0); r < upper_bound_0; r += get_global_size(0)){" << std::endl;
    00108     stream.inc_tab();
    00109
    00110     for (std::vector<mapped_row_wise_reduction*>::const_iterator it = exprs.begin(); it != exprs.end(); ++it)
    00111       stream << (*it)->process("#scalartype #name_acc = " + neutral_element((*it)->root_op()) + ";") << std::endl;
    00112
    00113     stream << "if (r < M)" << std::endl;
    00114     stream << "{" << std::endl;
    00115     stream.inc_tab();
    00116
    00117     class loop_body : public loop_body_base
    00118     {
    00119     public:
    00120       loop_body(std::vector<mapped_row_wise_reduction*> const & _exprs, bool _is_trans) : exprs(_exprs), is_trans(_is_trans){ }
    00121       void operator()(utils::kernel_generation_stream & kernel_stream, unsigned int loop_simd_width) const
    00122       {
    00123         std::set<std::string> already_fetched;
    00124         for (std::vector<mapped_row_wise_reduction*>::const_iterator it = exprs.begin(); it != exprs.end(); ++it)
    00125         {
    00126           if (is_trans)
    00127             (*it)->process_recursive(kernel_stream, LHS_NODE_TYPE, "matrix_trans", utils::append_width("#scalartype",loop_simd_width) + " #namereg = " + vload(loop_simd_width, "c*#stride1", "#pointer + r*#ld")+";", already_fetched);
    00128           else
    00129             (*it)->process_recursive(kernel_stream, LHS_NODE_TYPE, "matrix", "#scalartype #namereg = #pointer[r*#stride1 + c*#ld];", already_fetched);
    00130           (*it)->process_recursive(kernel_stream, RHS_NODE_TYPE, "vector", utils::append_width("#scalartype",loop_simd_width) + " #namereg = " + vload(loop_simd_width, "c*#stride", "#pointer")+";", already_fetched);
    00131         }
    00132
    00133
    00134         //Update accumulators
    00135         std::vector<std::string> str(loop_simd_width);
    00136         if (loop_simd_width==1)
    00137           str[0] = "#namereg";
    00138         else
    00139           for (unsigned int a = 0; a < loop_simd_width; ++a)
    00140             str[a] = append_simd_suffix("#namereg.s", a);
    00141
    00142
    00143         for (unsigned int k = 0; k < exprs.size(); ++k)
    00144         {
    00145           for (unsigned int a = 0; a < loop_simd_width; ++a)
    00146           {
    00147             std::map<std::string, std::string> accessors;
    00148             if (is_trans)
    00149               accessors["matrix_trans"] = str[a];
    00150             else
    00151               accessors["matrix"] = str[a];
    00152             accessors["vector"] = str[a];
    00153             accessors["scalar"] = "#namereg";
    00154             std::string value = exprs[k]->evaluate_recursive(LHS_NODE_TYPE, accessors);
    00155             if (exprs[k]->root_node().op.type==scheduler::OPERATION_BINARY_MAT_VEC_PROD_TYPE)
    00156               value+= "*" + exprs[k]->evaluate_recursive(RHS_NODE_TYPE, accessors);
    00157
    00158             if (exprs[k]->is_index_reduction())
    00159               compute_index_reduction(kernel_stream, exprs[k]->process("#name_acc"), "c*"+to_string(loop_simd_width) + to_string(a), exprs[k]->process("#name_acc_value"), value,exprs[k]->root_op());
    00160             else
    00161               compute_reduction(kernel_stream, exprs[k]->process("#name_acc"), value,exprs[k]->root_op());
    00162           }
    00163         }
    00164       }
    00165     private:
    00166       std::vector<mapped_row_wise_reduction*> exprs;
    00167       bool is_trans;
    00168     };
    00169
    00170     element_wise_loop_1D(stream, loop_body(exprs, is_trans), p_.fetch_policy, simd_width, "c", "N", "get_local_id(1)", "get_local_size(1)");
    00171     stream.dec_tab();
    00172     stream << "}" << std::endl;
    00173
    00174     for (unsigned int k = 0; k < exprs.size(); ++k)
    00175       stream << exprs[k]->process("#name_buf[lid0*" + lsize1str + "+ lid1] = #name_acc;") << std::endl;
    00176
    00177     stream << "#pragma unroll" << std::endl;
    00178     stream << "for(unsigned int stride = " << p_.local_size_1/2 << "; stride >0; stride /=2)" << std::endl;
    00179     stream << "{" << std::endl;
    00180     stream.inc_tab();
    00181
    00182     stream << "barrier(CLK_LOCAL_MEM_FENCE); " << std::endl;
    00183     stream <<  "if (lid1 < stride)" << std::endl;
    00184     stream << "{" << std::endl;
    00185     stream.inc_tab();
    00186
    00187     for (unsigned int k = 0; k < exprs.size(); k++)
    00188       if (exprs[k]->is_index_reduction())
    00189         compute_index_reduction(stream, exprs[k]->process("#name_buf[lid0*" + lsize1str + " + lid1]"), exprs[k]->process("#name_buf[lid0*" + lsize1str + " + lid1 + stride]")
    00190                                 , exprs[k]->process("#name_buf_value[lid0*" + lsize1str + " + lid1]"), exprs[k]->process("#name_buf_value[lid0*" + lsize1str + " + lid1 + stride]"),
    00191                                 exprs[k]->root_op());
    00192       else
    00193         compute_reduction(stream,exprs[k]->process("#name_buf[lid0*" + lsize1str + " + lid1]"), exprs[k]->process("#name_buf[lid0*" + lsize1str + " + lid1 + stride]"), exprs[k]->root_op());
    00194
    00195     stream.dec_tab();
    00196     stream << "}" << std::endl;
    00197
    00198     stream.dec_tab();
    00199     stream << "}" << std::endl;
    00200
    00201
    00202     stream <<  "if (lid1 == 0 && r < M)";
    00203     stream << "{" << std::endl;
    00204     stream.inc_tab();
    00205     std::map<std::string, std::string> accessors;
    00206     accessors["row_wise_reduction"] = "#name_buf[lid0*" + lsize1str + "]";
    00207     accessors["vector"] = "#pointer[r*#stride]";
    00208     tree_parsing::evaluate(stream, PARENT_NODE_TYPE, accessors, statements, mappings);
    00209     stream.dec_tab();
    00210     stream << "}" << std::endl;
    00211
    00212
    00213     stream.dec_tab();
    00214     stream << "}" << std::endl;
    00215
    00216     stream.dec_tab();
    00217     stream << "}" << std::endl;
    00218
    00219     return stream.str();
    00220   }
    00221
    00222   std::vector<std::string> generate_impl(std::string const & kernel_prefix, statements_container const & statements, std::vector<mapping_type> const & mappings) const
    00223   {
    00224     std::vector<mapped_row_wise_reduction*> exprs;
    00225     bool is_trans = false;
    00226     bool row_major = false;
    00227     statements_container::data_type::const_iterator sit;
    00228     std::vector<mapping_type>::const_iterator mit;
    00229     for (mit = mappings.begin(), sit = statements.data().begin(); mit != mappings.end(); ++mit, ++sit)
    00230     {
    00231       std::vector<vcl_size_t> idx;
    00232       scheduler::lhs_rhs_element A;
    00233       parse(*sit, idx, is_trans, A);
    00234       row_major = utils::call_on_matrix(A, utils::row_major_fun());
    00235       for (unsigned int j = 0; j < idx.size(); ++j)
    00236         exprs.push_back((mapped_row_wise_reduction*)(at(*mit, mapping_key(idx[j], PARENT_NODE_TYPE)).get()));
    00237     }
    00238     is_trans = is_trans ^ row_major;
    00239
    00240     std::vector<std::string> res;
    00241     if (is_trans && p_.simd_width>1)
    00242     {
    00243       res.push_back(generate_impl(kernel_prefix, statements, mappings, p_.simd_width, is_trans, exprs));
    00244       res.push_back(generate_impl(kernel_prefix, statements, mappings, 1, is_trans, exprs));
    00245     }
    00246     else
    00247       res.push_back(generate_impl(kernel_prefix, statements, mappings, 1, is_trans, exprs));
    00248
    00249     return res;
    00250   }
    00251 public:
    00252   row_wise_reduction_template(row_wise_reduction_template::parameters_type const & parameters, char A_trans, binding_policy_t binding_policy = BIND_ALL_UNIQUE) : template_base_impl<row_wise_reduction_template, row_wise_reduction_parameters>(parameters, binding_policy), A_trans_(A_trans){ }
    00253
    00254   void enqueue(std::string const & kernel_prefix, std::vector<lazy_program_compiler> & programs, statements_container const & statements)
    00255   {
    00256     std::vector<vcl_size_t> idx;
    00257     scheduler::lhs_rhs_element A;
    00258     bool is_trans;
    00259     parse(statements.data().front(), idx, is_trans, A);
    00260     bool row_major = utils::call_on_matrix(A, utils::row_major_fun());
    00261
    00262     viennacl::ocl::kernel * kernel;
    00263     if ((is_trans  ^ row_major)&& p_.simd_width>1)
    00264     {
    00265       if (has_strided_access(statements))
    00266         kernel = &programs[1].program().get_kernel(kernel_prefix);
    00267       else
    00268         kernel = &programs[0].program().get_kernel(kernel_prefix);
    00269     }
    00270     else
    00271       kernel = &programs[0].program().get_kernel(kernel_prefix);
    00272
    00273     kernel->local_work_size(0,p_.local_size_0);
    00274     kernel->local_work_size(1,p_.local_size_1);
    00275     kernel->global_work_size(0,p_.local_size_0*p_.num_groups_0);
    00276     kernel->global_work_size(1,p_.local_size_1);
    00277
    00278     unsigned int current_arg = 0;
    00279     if (is_trans)
    00280     {
    00281       kernel->arg(current_arg++, cl_uint(utils::call_on_matrix(A, utils::size2_fun())));
    00282       kernel->arg(current_arg++, cl_uint(utils::call_on_matrix(A, utils::size1_fun())));
    00283     }
    00284     else
    00285     {
    00286       kernel->arg(current_arg++, cl_uint(utils::call_on_matrix(A, utils::size1_fun())));
    00287       kernel->arg(current_arg++, cl_uint(utils::call_on_matrix(A, utils::size2_fun())));
    00288     }
    00289
    00290
    00291     set_arguments(statements, *kernel, current_arg);
    00292     viennacl::ocl::enqueue(*kernel);
    00293   }
    00294
    00295 private:
    00296   const char A_trans_;
    00297 };
    00298
    00299 }
    00300 }
    00301
    00302 #endif

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