cu
package cu provides an idiomatic interface to the CUDA Driver API. (by gorgonia)
kokkos-kernels
Kokkos C++ Performance Portability Programming Ecosystem: Math Kernels - Provides BLAS, Sparse BLAS and Graph Kernels (by kokkos)
| cu | kokkos-kernels | |
|---|---|---|
| 1 | 1 | |
| 442 | 277 | |
| 3.2% | 1.4% | |
| 2.5 | 9.1 | |
| 4 months ago | 1 day ago | |
| Go | C++ | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cu
Posts with mentions or reviews of cu.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-09.
-
Is there an OOP-wrapper library for cublas?
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-kernels
Posts with mentions or reviews of kokkos-kernels.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-09.
-
Is there an OOP-wrapper library for cublas?
It’s a work in progress, but Kokkos and the associated Kokkos Kernels are probably the closest thing to what you’re asking for.
What are some alternatives?
When comparing cu and kokkos-kernels you can also consider the following projects:
mdspan - Reference implementation of mdspan targeting C++23
oneMKL - oneAPI Math Kernel Library (oneMKL) Interfaces
stdBLAS - Reference Implementation for stdBLAS
kokkos - Kokkos C++ Performance Portability Programming Ecosystem: The Programming Model - Parallel Execution and Memory Abstraction
rocBLAS - Next generation BLAS implementation for ROCm platform
go-formatter - A curated list of awesome Go frameworks, libraries and software
kronmult993 - CPU and GPU implementations of kronmult.
go - The Go programming language
gofl - Generic Free List implementation to reuse memory and avoid allocations