Is there an OOP-wrapper library for cublas?

This page summarizes the projects mentioned and recommended in the original post on /r/CUDA

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  • cu

    package cu provides an idiomatic interface to the CUDA Driver API.

  • I am the author of the Go CUDA libraries (https://github.com/gorgonia/cu)... and you can indeed wrap a CUDA memory and use it in cuBLAS in an object oriented way

  • kokkos

    Kokkos C++ Performance Portability Programming Ecosystem: The Programming Model - Parallel Execution and Memory Abstraction

  • It’s a work in progress, but Kokkos and the associated Kokkos Kernels are probably the closest thing to what you’re asking for.

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  • kokkos-kernels

    Kokkos C++ Performance Portability Programming Ecosystem: Math Kernels - Provides BLAS, Sparse BLAS and Graph Kernels

  • It’s a work in progress, but Kokkos and the associated Kokkos Kernels are probably the closest thing to what you’re asking for.

  • stdBLAS

    Reference Implementation for stdBLAS

  • The second one is stdBLAS by kokkos. It doesn't even use cuBLAS but it's a reference implementation of P1673. This paper describe what could be a blas API in the std. I would recommend trying to do something equivalent on your side.

  • mdspan

    Reference implementation of mdspan targeting C++23

  • The good thing here is that it heavily relies on mdpsan that is a multidimensional view that handle shape and strides. And kokkos provide a C++14 compatible implementation with a complete CUDA support.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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