CuTeLib
CUDA Template Library provides simple, typesafe, performant constructs for C++ CUDA projects (by anders-wind)
CHAI
Copy-hiding array abstraction to automatically migrate data between memory spaces (by LLNL)
| CuTeLib | CHAI | |
|---|---|---|
| 1 | 1 | |
| 0 | 103 | |
| - | 1.9% | |
| 7.8 | 7.3 | |
| over 2 years ago | 5 days ago | |
| C++ | C++ | |
| MIT 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.
CuTeLib
Posts with mentions or reviews of CuTeLib.
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 am building a similarly library, including copy and streams and so on. Check it out https://github.com/anders-wind/CuTeLib
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.
What are some alternatives?
When comparing CuTeLib and CHAI you can also consider the following projects:
oneMKL - oneAPI Math Kernel Library (oneMKL) Interfaces
RAJA - RAJA Performance Portability Layer (C++)
taco - The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs
Umpire - An application-focused API for memory management on NUMA & GPU architectures
stlbm
ArrayFire - ArrayFire: a general purpose GPU library.
mtensor - a c++/cuda template library for tensor lazy evaluation
blitz - Blitz++ Multi-Dimensional Array Library for C++
gtensor - GTensor is a multi-dimensional array C++14 header-only library for hybrid GPU development.
CppCoreGuidelines - The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++