cl_format_dense_vec.hpp

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#ifndef SPLA_CL_FORMAT_DENSE_VEC_HPP
#define SPLA_CL_FORMAT_DENSE_VEC_HPP
 
#include <opencl/cl_counter.hpp>
#include <opencl/cl_debug.hpp>
#include <opencl/cl_formats.hpp>
#include <opencl/cl_program_builder.hpp>
#include <opencl/cl_sort_by_key.hpp>
#include <opencl/generated/auto_vector_formats.hpp>
 
namespace spla {
 
    template<typename T>
    void cl_dense_vec_resize(const std::size_t n_rows,
                             CLDenseVec<T>&    storage) {
        const std::size_t buffer_size = n_rows * sizeof(T);
        const auto        flags       = CL_MEM_READ_WRITE | CL_MEM_HOST_NO_ACCESS;
 
        cl::Buffer buffer(get_acc_cl()->get_context(), flags, buffer_size);
        storage.Ax = std::move(buffer);
    }
 
    template<typename T>
    void cl_dense_vec_fill_value(const std::size_t n_rows,
                                 const T           value,
                                 CLDenseVec<T>&    storage) {
        cl_fill_value<T>(get_acc_cl()->get_queue_default(), storage.Ax, n_rows, value);
    }
 
    template<typename T>
    void cl_dense_vec_init(const std::size_t n_rows,
                           const T*          values,
                           CLDenseVec<T>&    storage) {
        assert(values);
 
        const std::size_t buffer_size = n_rows * sizeof(T);
        const auto        flags       = CL_MEM_READ_WRITE | CL_MEM_HOST_NO_ACCESS | CL_MEM_COPY_HOST_PTR;
 
        cl::Buffer buffer(get_acc_cl()->get_context(), flags, buffer_size, (void*) values);
        storage.Ax = std::move(buffer);
    }
 
    template<typename T>
    void cl_dense_vec_read(const std::size_t n_rows,
                           T*                values,
                           CLDenseVec<T>&    storage,
                           cl::CommandQueue& queue,
                           cl_mem_flags      staging_flags = CL_MEM_READ_ONLY | CL_MEM_HOST_READ_ONLY | CL_MEM_ALLOC_HOST_PTR,
                           bool              blocking      = true) {
        const std::size_t buffer_size = n_rows * sizeof(T);
        cl::Buffer        staging(get_acc_cl()->get_context(), staging_flags, buffer_size);
 
        queue.enqueueCopyBuffer(storage.Ax, staging, 0, 0, buffer_size);
        queue.enqueueReadBuffer(staging, blocking, 0, buffer_size, values);
    }
 
    template<typename T>
    void cl_dense_vec_to_coo(const std::size_t    n_rows,
                             const T              fill_value,
                             const CLDenseVec<T>& in,
                             CLCooVec<T>&         out,
                             cl::CommandQueue&    queue) {
 
        CLProgramBuilder builder;
        builder.set_name("vector_format")
                .add_type("TYPE", get_ttype<T>().template as<Type>())
                .set_source(source_vector_formats)
                .acquire();
 
        auto* acc = get_acc_cl();
 
        CLCounterWrapper cl_count;
        cl::Buffer       temp_Ri(acc->get_context(), CL_MEM_WRITE_ONLY | CL_MEM_HOST_NO_ACCESS, n_rows * sizeof(uint));
        cl::Buffer       temp_Rx(acc->get_context(), CL_MEM_WRITE_ONLY | CL_MEM_HOST_NO_ACCESS, n_rows * sizeof(T));
 
        cl_count.set(queue, 0);
 
        uint block_size           = acc->get_default_wgs();
        uint n_groups_to_dispatch = std::max(std::min(uint(n_rows) / block_size, uint(1024)), uint(1));
 
        cl::NDRange global(block_size * n_groups_to_dispatch);
        cl::NDRange local(block_size);
 
        auto kernel = builder.make_kernel("dense_to_sparse");
        kernel.setArg(0, in.Ax);
        kernel.setArg(1, temp_Ri);
        kernel.setArg(2, temp_Rx);
        kernel.setArg(3, cl_count.buffer());
        kernel.setArg(4, uint(n_rows));
        kernel.setArg(5, fill_value);
 
        queue.enqueueNDRangeKernel(kernel, cl::NDRange(), global, local);
        uint count = cl_count.get(queue);
 
        if (count == 0) {
            LOG_MSG(Status::Ok, "nothing to do");
 
            out.values = 0;
            out.Ai     = cl::Buffer();
            out.Ax     = cl::Buffer();
            return;
        }
 
        out.values = count;
        out.Ai     = cl::Buffer(acc->get_context(), CL_MEM_READ_WRITE | CL_MEM_HOST_NO_ACCESS, count * sizeof(uint));
        out.Ax     = cl::Buffer(acc->get_context(), CL_MEM_READ_WRITE | CL_MEM_HOST_NO_ACCESS, count * sizeof(T));
 
        queue.enqueueCopyBuffer(temp_Ri, out.Ai, 0, 0, count * sizeof(uint));
        queue.enqueueCopyBuffer(temp_Rx, out.Ax, 0, 0, count * sizeof(T));
        CL_FINISH(queue);
    }
 
}// namespace spla
 
#endif//SPLA_CL_FORMAT_DENSE_VEC_HPP