spla
cl_m_reduce.hpp
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27 
28 #ifndef SPLA_CL_M_REDUCE_HPP
29 #define SPLA_CL_M_REDUCE_HPP
30 
32 
33 #include <core/dispatcher.hpp>
34 #include <core/registry.hpp>
35 #include <core/tmatrix.hpp>
36 #include <core/top.hpp>
37 #include <core/tscalar.hpp>
38 #include <core/ttype.hpp>
39 
40 #include <opencl/cl_formats.hpp>
41 #include <opencl/cl_reduce.hpp>
42 
43 #include <sstream>
44 
45 namespace spla {
46 
47  template<typename T>
48  class Algo_m_reduce_cl final : public RegistryAlgo {
49  public:
50  ~Algo_m_reduce_cl() override = default;
51 
52  std::string get_name() override {
53  return "m_reduce";
54  }
55 
56  std::string get_description() override {
57  return "parallel matrix reduction on opencl device";
58  }
59 
60  Status execute(const DispatchContext& ctx) override {
61  auto t = ctx.task.template cast_safe<ScheduleTask_m_reduce>();
62  ref_ptr<TMatrix<T>> M = t->M.template cast_safe<TMatrix<T>>();
63 
64  if (M->is_valid(FormatMatrix::AccCsr)) {
65  return execute_csr(ctx);
66  }
67  if (M->is_valid(FormatMatrix::CpuCsr)) {
68  return execute_csr(ctx);
69  }
70 
71  return execute_csr(ctx);
72  }
73 
74  private:
75  Status execute_csr(const DispatchContext& ctx) {
76  TIME_PROFILE_SCOPE("opencl/m_reduce_csr");
77 
78  auto t = ctx.task.template cast_safe<ScheduleTask_m_reduce>();
79 
80  auto r = t->r.template cast_safe<TScalar<T>>();
81  auto s = t->s.template cast_safe<TScalar<T>>();
82  auto M = t->M.template cast_safe<TMatrix<T>>();
83  auto op_reduce = t->op_reduce.template cast_safe<TOpBinary<T, T, T>>();
84 
85  M->validate_rw(FormatMatrix::AccCsr);
86 
87  const auto* p_cl_csr = M->template get<CLCsr<T>>();
88  auto* p_cl_acc = get_acc_cl();
89  auto& queue = p_cl_acc->get_queue_default();
90 
91  cl_reduce<T>(queue, p_cl_csr->Ax, p_cl_csr->values, s->get_value(), op_reduce, r->get_value());
92 
93  return Status::Ok;
94  }
95  };
96 
97 }// namespace spla
98 
99 #endif//SPLA_CL_M_REDUCE_HPP
Status of library operation execution.
Definition: cl_m_reduce.hpp:48
std::string get_description() override
Definition: cl_m_reduce.hpp:56
~Algo_m_reduce_cl() override=default
std::string get_name() override
Definition: cl_m_reduce.hpp:52
Status execute(const DispatchContext &ctx) override
Definition: cl_m_reduce.hpp:60
Algorithm suitable to process schedule task based on task string key.
Definition: registry.hpp:66
Automates reference counting and behaves as shared smart pointer.
Definition: ref.hpp:117
Definition: algorithm.hpp:37
Execution context of a single task.
Definition: dispatcher.hpp:46
ref_ptr< ScheduleTask > task
Definition: dispatcher.hpp:48
#define TIME_PROFILE_SCOPE(name)
Definition: time_profiler.hpp:92