RAJA

RAJA Performance Portability Layer (C++) (by LLNL)

RAJA Alternatives

Similar projects and alternatives to RAJA based on common topics and language

  • cuda-samples

    Samples for CUDA Developers which demonstrates features in CUDA Toolkit

  • kokkos

    - RAJA VS kokkos

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

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  • mfem

    - RAJA VS mfem

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

  • 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)

  • Vc

    - RAJA VS Vc

    SIMD Vector Classes for C++

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better RAJA alternative or higher similarity.

RAJA reviews and mentions

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.
  • Cuda application question
    2 projects | /r/CUDA | 24 Apr 2022
    Since the ability to use C++ parallel algorithms on the GPU is a relatively new thing, some applications have used other C++ abstraction libraries instead, such as Kokkos (https://kokkos.org/) and RAJA (https://github.com/LLNL/RAJA). These both have multiple backends that support GPUs and CPUs without needing to change your application code.

Stats

Basic RAJA repo stats
2
432
9.7
3 days ago

LLNL/RAJA is an open source project licensed under BSD 3-clause "New" or "Revised" License which is an OSI approved license.

The primary programming language of RAJA is C++.

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