CHAI VS Umpire

Compare CHAI vs Umpire and see what are their differences.

CHAI

Copy-hiding array abstraction to automatically migrate data between memory spaces (by LLNL)

Umpire

An application-focused API for memory management on NUMA & GPU architectures (by LLNL)
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CHAI Umpire
1 1
104 302
1.9% 1.7%
7.3 7.2
7 days ago 8 days 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.

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.

Umpire

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

What are some alternatives?

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

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

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

RAJA - RAJA Performance Portability Layer (C++)

alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:

ArrayFire - ArrayFire: a general purpose GPU library.

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

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