CuTeLib VS stlbm

Compare CuTeLib vs stlbm and see what are their differences.

CuTeLib

CUDA Template Library provides simple, typesafe, performant constructs for C++ CUDA projects (by anders-wind)
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CuTeLib stlbm
1 1
0 -
- -
7.8 -
over 2 years ago -
C++
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.

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.

stlbm

Posts with mentions or reviews of stlbm. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-19.

What are some alternatives?

When comparing CuTeLib and stlbm you can also consider the following projects:

oneMKL - oneAPI Math Kernel Library (oneMKL) Interfaces

gtensor - GTensor is a multi-dimensional array C++14 header-only library for hybrid GPU development.

taco - The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs

mtensor - a c++/cuda template library for tensor lazy evaluation

blitz - Blitz++ Multi-Dimensional Array Library for C++

CHAI - Copy-hiding array abstraction to automatically migrate data between memory spaces

CppCoreGuidelines - The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++