Umpire VS RAJA

Compare Umpire vs RAJA and see what are their differences.

Umpire

An application-focused API for memory management on NUMA & GPU architectures (by LLNL)
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Umpire RAJA
1 2
340 502
3.5% 1.2%
7.5 9.8
5 days ago about 15 hours 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.

RAJA

Posts with mentions or reviews of RAJA. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-24.

What are some alternatives?

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

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

kokkos - Kokkos C++ Performance Portability Programming Ecosystem: The Programming Model - Parallel Execution and Memory Abstraction

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

cuda-samples - Samples for CUDA Developers which demonstrates features in CUDA Toolkit

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

alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:

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

Vc - SIMD Vector Classes for C++

ArrayFire - ArrayFire: a general purpose GPU library.

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