CUDALibrarySamples | CUDA Library Samples | GPU library

by NVIDIA C++ Version: Current License: Non-SPDX

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kandi X-RAY | CUDALibrarySamples Summary

CUDALibrarySamples is a C++ library typically used in Hardware, GPU, Pytorch applications. CUDALibrarySamples has no bugs, it has no vulnerabilities and it has low support. However CUDALibrarySamples has a Non-SPDX License. You can download it from GitHub.

The CUDA Library Samples are released by NVIDIA Corporation as Open Source software under the 3-clause "New" BSD license.

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CUDALibrarySamples has a low active ecosystem.

It has 174 star(s) with 42 fork(s). There are 12 watchers for this library.

It had no major release in the last 6 months.

There are 10 open issues and 21 have been closed. On average issues are closed in 11 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of CUDALibrarySamples is current.

Quality

CUDALibrarySamples has 0 bugs and 0 code smells.

Security

CUDALibrarySamples has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

CUDALibrarySamples code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

CUDALibrarySamples has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

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CUDALibrarySamples releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

It has 670 lines of code, 15 functions and 13 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

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Community Discussions

Trending Discussions on CUDALibrarySamples

Eigen decomposition of Hermitian Matrix using CuSolver does not match the result with matlab

internal error when trying to perform matrix transpose using cusparseCsr2cscEx2() function of cuSPARSE

QUESTION

Eigen decomposition of Hermitian Matrix using CuSolver does not match the result with matlab

Asked 2022-Mar-04 at 16:07

I am following the example of eigen decomposition from here, https://github.com/NVIDIA/CUDALibrarySamples/blob/master/cuSOLVER/syevd/cusolver_syevd_example.cu

I need to do it for Hermatian complex matrix. The problem is the eigen vector is not matching at all with the result with Matlab result.

Does anyone have any idea about it why this mismatch is happening?

I have also tried cusolverdn svd method to get eigen values and vector that is giving another result.

My code is here for convenience,

...

ANSWER

Answered 2022-Mar-04 at 16:07

Please follow the post for the clear answer, https://forums.developer.nvidia.com/t/eigen-decomposition-of-hermitian-matrix-using-cusolver-does-not-match-the-result-with-matlab/204157

The theory tells, A*V-lamda*V=0 should satisfy, however it might not be perfect zero. My thinking was it will very very close to zero or e-14 somethng like this. If the equation gives a value close to zero then it is acceptable.

There are different algorithms for solving eigen decomposition, like Jacobi algorithm, Cholesky factorization... The program I provided in my post uses the function cusolverDnCheevd which is based on LAPACK. LAPACK doc tells that it uses divide and conquer algorithm to solve Hermitian matrix. Here is the link, http://www.netlib.org/lapack/explore-html/d9/de3/group__complex_h_eeigen_ga6084b0819f9642f0db26257e8a3ebd42.html#ga6084b0819f9642f0db26257e8a3ebd42

Source https://stackoverflow.com/questions/71174682

QUESTION

internal error when trying to perform matrix transpose using cusparseCsr2cscEx2() function of cuSPARSE

Asked 2020-Dec-10 at 08:12

I am need to perform transpose of a matrix(CSR) using cuSPARSE, but get “internal error”. I write my code referring to How to transpose a sparse matrix in cuSparse? and https://docs.nvidia.com/cuda/cusparse/index.html#csr2cscEx2. To make it more clearly, I am trying to perform transpose by convert the matrix from format csr to format csc.

I am running on Nvidia GeForce GTX 1080, with driver cuda_11.1.0. I am using Windows 10.

The following is my codes. You can download the folder from https://github.com/NVIDIA/CUDALibrarySamples/tree/master/cuSPARSE/sparse2dense, and replace the sparse2dense_example.c with my codes. Then configure and make using CMake, in this way maybe you can reproduce my problems.

...

ANSWER

Answered 2020-Dec-09 at 15:32

The error is due to the fact that you are passing pointers to host data, to a routine that intends to work on device data:

Source https://stackoverflow.com/questions/65219648

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