RAJA VS Umpire

Compare RAJA vs Umpire and see what are their differences.

Umpire

An application-focused API for memory management on NUMA & GPU architectures (by LLNL)
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RAJA Umpire
2 1
437 300
2.1% 3.0%
9.7 7.2
7 days ago 4 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.

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.

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 RAJA and Umpire you can also consider the following projects:

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

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

alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:

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

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

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

Vc - SIMD Vector Classes for C++

ArrayFire - ArrayFire: a general purpose GPU library.

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