CHAI
Copy-hiding array abstraction to automatically migrate data between memory spaces (by LLNL)
gtensor
GTensor is a multi-dimensional array C++14 header-only library for hybrid GPU development. (by wdmapp)
| CHAI | gtensor | |
|---|---|---|
| 1 | 1 | |
| 103 | 33 | |
| 1.9% | - | |
| 7.3 | 8.9 | |
| 8 days ago | 4 months ago | |
| C++ | C++ | |
| BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" 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.
CHAI
Posts with mentions or reviews of CHAI.
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
I believe most of these performance portability libraries have associated memory manager projects. For example, RAJA has CHAI. I would use those managed array classes.
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.
What are some alternatives?
When comparing CHAI and gtensor you can also consider the following projects:
CuTeLib - CUDA Template Library provides simple, typesafe, performant constructs for C++ CUDA projects
mixbench - A GPU benchmark tool for evaluating GPUs and CPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL, OpenMP)
RAJA - RAJA Performance Portability Layer (C++)
stlbm
Umpire - An application-focused API for memory management on NUMA & GPU architectures
ArrayFire - ArrayFire: a general purpose GPU library.
occa - Portable and vendor neutral framework for parallel programming on heterogeneous platforms.