cuElim/include/gf256/gf256_mat.cuh

#ifndef MATGF256_CUH
#define MATGF256_CUH

#include "gf256_header.cuh"

#include <random>

class MatGF256
{
public:
    enum MatType
    {
        root,
        view
    };
    // 只能构造root矩阵
    MatGF256(size_t nrows, size_t ncols) : nrows(nrows), ncols(ncols), type(root)
    {
        width = (ncols - 1) / gf256_num + 1;
        rowstride = ((width - 1) / 4 + 1) * 4; // 以32字节（4*64bit）为单位对齐
        CUDA_CHECK(cudaMallocManaged((void **)&data, nrows * rowstride * sizeof(base_t)));
        CUDA_CHECK(cudaMemset(data, 0, nrows * rowstride * sizeof(base_t)));
    }
    // 只能拷贝构造root矩阵
    MatGF256(const MatGF256 &m) : MatGF256(m.nrows, m.ncols)
    {
        CUDA_CHECK(cudaMemcpy2D(data, rowstride * sizeof(base_t), m.data, m.rowstride * sizeof(base_t), m.width * sizeof(base_t), nrows, cudaMemcpyDefault));
    }
    MatGF256(MatGF256 &&m) noexcept : nrows(m.nrows), ncols(m.ncols), width(m.width), rowstride(m.rowstride), type(m.type), data(m.data)
    {
        m.nrows = 0;
        m.ncols = 0;
        m.width = 0;
        m.rowstride = 0;
        m.type = view;
        m.data = nullptr;
    }
    MatGF256 &operator=(const MatGF256 &m)
    {
        if (this == &m)
        {
            return *this;
        }
        assert(nrows == m.nrows && ncols == m.ncols);
        CUDA_CHECK(cudaMemcpy2D(data, rowstride * sizeof(base_t), m.data, m.rowstride * sizeof(base_t), m.width * sizeof(base_t), nrows, cudaMemcpyDefault));
        return *this;
    }
    MatGF256 &operator=(MatGF256 &&m) noexcept
    {
        if (this == &m)
        {
            return *this;
        }
        if (type == root)
        {
            CUDA_CHECK(cudaFree(data));
        }
        nrows = m.nrows;
        ncols = m.ncols;
        width = m.width;
        rowstride = m.rowstride;
        type = m.type;
        data = m.data;
        m.nrows = 0;
        m.ncols = 0;
        m.width = 0;
        m.rowstride = 0;
        m.type = view;
        m.data = nullptr;
        return *this;
    }

    ~MatGF256()
    {
        if (type == root)
        {
            CUDA_CHECK(cudaFree(data));
        }
    }

    inline base_t *at_base(size_t r, size_t w) const
    {
        return data + r * rowstride + w;
    }

    // 只能以base_t为单位进行操作
    MatGF256 createView(size_t begin_ri, size_t begin_wi, size_t end_rj, size_t end_wj) const
    {
        assert(begin_ri < end_rj && end_rj <= nrows && begin_wi < end_wj && end_wj <= width);
        MatGF256 view;
        view.nrows = end_rj - begin_ri;
        view.ncols = (end_wj == width ? ncols : end_wj * gf256_num) - begin_wi * gf256_num;
        view.width = end_wj - begin_wi;
        view.rowstride = rowstride;
        view.data = at_base(begin_ri, begin_wi);
        return view;
    }

    void randomize(base_t seed)
    {
        assert(type == root);
        static default_random_engine e(seed);
        static uniform_int_distribution<base_t> d;
        base_t lastmask = base_fullmask >> (width * base_len - ncols * gf256_len);
        for (size_t r = 0; r < nrows; r++)
        {
            for (size_t w = 0; w < width; w++)
            {
                *at_base(r, w) = d(e);
            }
            *at_base(r, width - 1) &= lastmask;
        }
    }

    bool operator==(const MatGF256 &m) const
    {
        if (nrows != m.nrows || ncols != m.ncols)
        {
            return false;
        }
        for (size_t r = 0; r < nrows; r++)
        {
            for (size_t w = 0; w < width; w++)
            {
                if (*at_base(r, w) != *m.at_base(r, w))
                {
                    return false;
                }
            }
        }
        return true;
    }

    bool operator==(const base_t base) const
    {
        for (size_t r = 0; r < nrows; r++)
        {
            for (size_t w = 0; w < width; w++)
            {
                if (*at_base(r, w) != base)
                {
                    return false;
                }
            }
        }
        return true;
    }
    void operator^=(const MatGF256 &m)
    {
        assert(nrows == m.nrows && ncols == m.ncols);
        for (size_t r = 0; r < nrows; r++)
        {
            for (size_t w = 0; w < width; w++)
            {
                *at_base(r, w) ^= *m.at_base(r, w);
            }
        }
    }
    MatGF256 operator^(const MatGF256 &m) const
    {
        MatGF256 temp(*this);
        temp ^= m;
        return temp;
    }

    friend ostream &operator<<(ostream &out, const MatGF256 &m);
    void gpu_addmul(const MatGF256 &a, const MatGF256 &b, const GF256 &gf);
    friend MatGF256 gpu_mul(const MatGF256 &a, const MatGF256 &b, const GF256 &gf);

    // size_t nrows, ncols;
    // size_t width, rowstride;

private:
    MatGF256() : nrows(0), ncols(0), width(0), rowstride(0), type(view), data(nullptr) {}
    size_t nrows, ncols;
    size_t width, rowstride;
    MatType type;
    base_t *data;
};

ostream &operator<<(ostream &out, const MatGF256 &m)
{
    for (size_t r = 0; r < m.nrows; r++)
    {
        for (size_t w = 0; w < m.width; w++)
        {
            printf("%016lX ", rev8(*m.at_base(r, w)));
        }
        printf("\n");
    }
    return out;
}

#endif