cl_v_count_mf.hpp

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#ifndef SPLA_CL_V_COUNT_MF_HPP
#define SPLA_CL_V_COUNT_MF_HPP
 
#include <schedule/schedule_tasks.hpp>
 
#include <core/dispatcher.hpp>
#include <core/registry.hpp>
#include <core/top.hpp>
#include <core/tscalar.hpp>
#include <core/ttype.hpp>
#include <core/tvector.hpp>
 
#include <opencl/cl_counter.hpp>
#include <opencl/cl_formats.hpp>
#include <opencl/cl_program_builder.hpp>
#include <opencl/generated/auto_count.hpp>
 
#include <sstream>
 
namespace spla {
 
    template<typename T>
    class Algo_v_count_mf_cl final : public RegistryAlgo {
    public:
        ~Algo_v_count_mf_cl() override = default;
 
        std::string get_name() override {
            return "v_count_mf";
        }
 
        std::string get_description() override {
            return "parallel opencl vector count mf";
        }
 
        Status execute(const DispatchContext& ctx) override {
            auto                t = ctx.task.template cast_safe<ScheduleTask_v_count_mf>();
            ref_ptr<TVector<T>> v = t->v.template cast_safe<TVector<T>>();
 
            if (v->is_valid(FormatVector::AccCoo))
                return execute_sp(ctx);
            if (v->is_valid(FormatVector::AccDense))
                return execute_dn(ctx);
 
            return execute_sp(ctx);
        }
 
    private:
        Status execute_sp(const DispatchContext& ctx) {
            auto                t     = ctx.task.template cast_safe<ScheduleTask_v_count_mf>();
            ref_ptr<TVector<T>> v     = t->v.template cast_safe<TVector<T>>();
            CLCooVec<T>*        dec_v = v->template get<CLCooVec<T>>();
 
            t->r->set_uint(dec_v->values);
 
            return Status::Ok;
        }
 
        Status execute_dn(const DispatchContext& ctx) {
            auto                t     = ctx.task.template cast_safe<ScheduleTask_v_count_mf>();
            ref_ptr<TVector<T>> v     = t->v.template cast_safe<TVector<T>>();
            CLDenseVec<T>*      dec_v = v->template get<CLDenseVec<T>>();
 
            std::shared_ptr<CLProgram> program;
            if (!ensure_kernel(program)) return Status::CompilationError;
 
            auto* cl_acc = get_acc_cl();
            auto& queue  = cl_acc->get_queue_default();
 
            CLCounterWrapper cl_count;
            cl_count.set(queue, 0);
 
            auto kernel = program->make_kernel("count_mf");
            kernel.setArg(0, dec_v->Ax);
            kernel.setArg(1, cl_count.buffer());
            kernel.setArg(2, v->get_n_rows());
            kernel.setArg(3, v->get_fill_value());
 
            const uint n_groups = div_up_clamp(v->get_n_rows(), m_block_size, 1, 1024);
 
            cl::NDRange global(m_block_size * n_groups);
            cl::NDRange local(m_block_size);
            queue.enqueueNDRangeKernel(kernel, cl::NullRange, global, local);
 
            t->r->set_uint(cl_count.get(queue));
 
            return Status::Ok;
        }
 
        bool ensure_kernel(std::shared_ptr<CLProgram>& program) {
 
            m_block_size = get_acc_cl()->get_default_wgs();
 
            CLProgramBuilder program_builder;
            program_builder
                    .set_name("count")
                    .add_type("TYPE", get_ttype<T>().template as<Type>())
                    .set_source(source_count)
                    .acquire();
 
            program = program_builder.get_program();
 
            return true;
        }
 
    private:
        uint m_block_size = 0;
    };
 
}// namespace spla
 
#endif//SPLA_CL_V_COUNT_MF_HPP