Umpire VS CHAI

Compare Umpire vs CHAI and see what are their differences.

Umpire

An application-focused API for memory management on NUMA & GPU architectures (by LLNL)

CHAI

Copy-hiding array abstraction to automatically migrate data between memory spaces (by LLNL)
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Umpire CHAI
1 1
301 103
1.3% 1.9%
7.2 7.3
7 days ago 2 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.

Umpire

Posts with mentions or reviews of Umpire. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

When comparing Umpire and CHAI you can also consider the following projects:

mfem - Lightweight, general, scalable C++ library for finite element methods

CuTeLib - CUDA Template Library provides simple, typesafe, performant constructs for C++ CUDA projects

alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:

RAJA - RAJA Performance Portability Layer (C++)

tuninglib - A C++ Class and Template Library for Performance Critical Applications

ArrayFire - ArrayFire: a general purpose GPU library.

Boost.Compute - A C++ GPU Computing Library for OpenCL