SPMV

 by   spikegpu C++ Version: Current License: No License

kandi X-RAY | SPMV Summary

kandi X-RAY | SPMV Summary

SPMV is a C++ library. SPMV has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

SPMV
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    Quality
      Security
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            kandi-support Support

              SPMV has a low active ecosystem.
              It has 2 star(s) with 0 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              SPMV has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of SPMV is current.

            kandi-Quality Quality

              SPMV has 0 bugs and 0 code smells.

            kandi-Security Security

              SPMV has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              SPMV code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              SPMV does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

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

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            SPMV Key Features

            No Key Features are available at this moment for SPMV.

            SPMV Examples and Code Snippets

            No Code Snippets are available at this moment for SPMV.

            Community Discussions

            QUESTION

            Is it possible to use HYB or ELL sparse matrix multiplication(SPMV) in CUSPARSE 11?
            Asked 2021-Jun-26 at 03:40

            I am updating my CUDA code with sparse matrix multiplication(SPMV). I found the HYB or ELL format sparse matrix related functions in cuSparse 11 are removed. But for my practical problem, HYB format SPMV runs better than CSR format. Is there any method to reuse HYB format in cuSparse 11? Like including some other library? Or I must write these kernel code myself?

            I know this is not a specific code issue. But I really need some advice.

            ...

            ANSWER

            Answered 2021-Jun-26 at 03:40

            Is it possible to use HYB or ELL sparse matrix multiplication(SPMV) in CUSPARSE 11?

            No it is not possible. Those formats were deprecated in CUDA 10.x and are no longer supported.

            Reformat your matrix storage to use a supported format. If you believe there is a performance issue, file a bug with a demonstrator.

            Source https://stackoverflow.com/questions/68125001

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install SPMV

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/spikegpu/SPMV.git

          • CLI

            gh repo clone spikegpu/SPMV

          • sshUrl

            git@github.com:spikegpu/SPMV.git

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