Cuda Driver API and CUSolver internal error

Accelerated Computing GPU-Accelerated Libraries
1

Hello everyone! Is it possible to use cuda driver api and cusolver?

In my project ( Rust lang) I use Cuda driver api through FFI and need to compute eigenvalues . I thought that CUSovler could help me, but it seems to me that it is impossible to use with driver API. How can I pass gpu arrays to cusolverDnSsyevd?

Currently I am getting INTERNAL_ERROR.

Thanks.

2

Here I created same code but on C++ and get same iternal error of cusolver on call cusolverDnDsyevd. How to pass data from cuda driver to cusolver?
Cuda version - 10.1

  cusolverDnHandle_t cusolverH = NULL;
    CUstream stream = NULL;
    CUcontext ctx = NULL;
    CUdevice device = NULL;
    cuInit(0);
    cuDeviceGet(&device, 0);
    cuCtxCreate_v2(&ctx,0,device);
    cuStreamCreate(&stream, 0);

    const int m = 3;
    const int lda = m;
    /*
     *       | 3.5 0.5 0.0 |
     *   A = | 0.5 3.5 0.0 |
     *       | 0.0 0.0 2.0 |
     *
     */
    const std::vector<double> A = { 3.5, 0.5, 0.0, 0.5, 3.5, 0.0, 0.0, 0.0, 2.0 };
    const std::vector<double> lambda = { 2.0, 3.0, 4.0 };

    std::vector<double> V(lda * m, 0); // eigenvectors
    std::vector<double> W(m, 0);       // eigenvalues

    CUdeviceptr d_A;
    CUdeviceptr d_W;
    CUdeviceptr d_info;

    int info = 0;

    int lwork = 0;            /* size of workspace */
    CUdeviceptr d_work; /* device workspace*/

    std::printf("A = (matlab base-1)\n");
    //print_matrix(m, m, A.data(), lda);
    std::printf("=====\n");

    /* step 1: create cusolver handle, bind a stream */
    CUSOLVER_CHECK(
        cusolverDnCreate(&cusolverH)
    );

    (cudaStreamCreateWithFlags(&stream, cudaStreamNonBlocking));
    CUSOLVER_CHECK(
        cusolverDnSetStream(cusolverH, stream)
    );

    CU_CHECK(cuMemAlloc_v2(&d_A, sizeof(double) * A.size()));
    CU_CHECK(cuMemAlloc_v2(&d_W, sizeof(double) * W.size()));
    CU_CHECK(cuMemAlloc_v2(&d_info, sizeof(int)));

    CU_CHECK(
        cuMemcpyHtoDAsync_v2(d_A, static_cast<const void *>(A.data()), sizeof(double) * A.size(),
             stream));

    // step 3: query working space of syevd
    cusolverEigMode_t jobz = CUSOLVER_EIG_MODE_VECTOR; // compute eigenvalues and eigenvectors.
    cublasFillMode_t uplo = CUBLAS_FILL_MODE_LOWER;

    CUSOLVER_CHECK(
    cusolverDnDsyevd_bufferSize(cusolverH, jobz, uplo, m, reinterpret_cast<double*>(d_A), 
        lda, reinterpret_cast<double *>(d_W), &lwork)
    );
    printf("workspace size %d", lwork);
    CU_CHECK(cuMemAlloc_v2(&d_work, sizeof(double) * lwork));

    // step 4: compute spectrum
    CUSOLVER_CHECK(
        cusolverDnDsyevd(cusolverH, jobz, uplo, m, reinterpret_cast<double *>(&d_A), lda, 
            reinterpret_cast<double*>(&d_W), reinterpret_cast<double*>(&d_work),
            lwork, reinterpret_cast<int*>(&d_info))
    );

    CU_CHECK(
        cuMemcpyDtoHAsync_v2(reinterpret_cast<void *>(V.data()), d_A, sizeof(double) * V.size(), stream)
    );
    CU_CHECK(
        cuMemcpyDtoHAsync_v2(reinterpret_cast<void*>(W.data()), d_W, sizeof(double) * W.size(), stream)
    ); 
    CU_CHECK(
        cuMemcpyDtoHAsync_v2(reinterpret_cast<void*>(&info), d_info, sizeof(int), stream)
    );

    (cuStreamSynchronize(stream));

    std::printf("after syevd: info = %d\n", info);
    if (0 > info) {
        std::printf("%d-th parameter is wrong \n", -info);
        exit(1);
    }

    std::printf("eigenvalue = (matlab base-1), ascending order\n");
    int idx = 1;
    for (auto const& i : W) {
        std::printf("W[%i] = %E\n", idx, i);
        idx++;
    }

    std::printf("V = (matlab base-1)\n");
    //print_matrix(m, m, V.data(), lda);
    std::printf("=====\n");

    // step 4: check eigenvalues
    double lambda_sup = 0;
    for (int i = 0; i < m; i++) {
        double error = fabs(lambda[i] - W[i]);
        lambda_sup = (lambda_sup > error) ? lambda_sup : error;
    }
    std::printf("|lambda - W| = %E\n", lambda_sup);

    /* free resources */
    (cuMemFree_v2(d_A));
    (cuMemFree_v2(d_W));
    (cuMemFree_v2(d_info));
    (cuMemFree_v2(d_work));

    //CUSOLVER_CHECK(
    cusolverDnDestroy(cusolverH);
    //);

    (cuStreamDestroy_v2(stream));

    (cuCtxDestroy_v2(ctx));

    //return EXIT_SUC0CESS;
3

I’ve solved it. CUdeviceptr is pointer itself , so what I need is to remove adress operator in syevd call.

        cusolverDnDsyevd(cusolverH, jobz, uplo, m, reinterpret_cast<double *>(d_A), lda, 
            reinterpret_cast<double*>(d_W), reinterpret_cast<double*>(d_work),
            lwork, reinterpret_cast<int*>(d_info))
4

This topic was automatically closed 14 days after the last reply. New replies are no longer allowed.