gtensor
GTensor is a multi-dimensional array C++14 header-only library for hybrid GPU development. (by wdmapp)
occa
Portable and vendor neutral framework for parallel programming on heterogeneous platforms. (by libocca)
| gtensor | occa | |
|---|---|---|
| 1 | 1 | |
| 33 | 379 | |
| - | 0.0% | |
| 8.9 | 7.6 | |
| 5 months ago | 1 day ago | |
| C++ | C++ | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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.
gtensor
Posts with mentions or reviews of gtensor.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-03-19.
-
Guidelines for using raw pointers in modern C++ and GPUs
If you want something like thrust:: device_vector, that also supports intel GPUs via SYCL (AMD has rocThrust but no intel equivalent AFAIK), checkout our project https://github.com/wdmapp/gtensor/. It also has multi-d arrays and lazy evaluation of complex array expressions. and experimental cross vendor gpu BLAS and FFT with a nicer interface.
occa
Posts with mentions or reviews of occa.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing gtensor and occa you can also consider the following projects:
mixbench - A GPU benchmark tool for evaluating GPUs and CPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL, OpenMP)
stlbm
CuTeLib - CUDA Template Library provides simple, typesafe, performant constructs for C++ CUDA projects