alpaka VS arbor

Compare alpaka vs arbor and see what are their differences.

arbor

The Arbor multi-compartment neural network simulation library. (by arbor-sim)
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alpaka arbor
1 2
325 101
2.5% 0.0%
9.2 7.8
3 days ago 13 days ago
C++ C++
Mozilla Public License 2.0 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.

alpaka

Posts with mentions or reviews of alpaka. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-01.
  • Cross Platform GPU-Capable Framework?
    6 projects | /r/gpgpu | 1 Aug 2021
    Note that Kokkos uses CUDA, OpenMP and also SYCL in order to have a wide range of targets. I'd also suggest taking a look at Alpaka https://github.com/alpaka-group/alpaka which is similar in some ways.

arbor

Posts with mentions or reviews of arbor. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-17.

What are some alternatives?

When comparing alpaka and arbor you can also consider the following projects:

clspv - Clspv is a compiler for OpenCL C to Vulkan compute shaders

ginkgo - Numerical linear algebra software package

GLSL - GLSL Shading Language Issue Tracker

HPCInfo - Information about many aspects of high-performance computing. Wiki content moved to ~/docs.

kompute - General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.

AdaptiveCpp - Implementation of SYCL and C++ standard parallelism for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!

OpenCLOn12 - The OpenCL-on-D3D12 mapping layer

ArrayFire - ArrayFire: a general purpose GPU library.

clvk - Implementation of OpenCL 3.0 on Vulkan

stdgpu - stdgpu: Efficient STL-like Data Structures on the GPU

ParallelReductionsBenchmark - Thrust, CUB, TBB, AVX2, CUDA, OpenCL, OpenMP, SyCL - all it takes to sum a lot of numbers fast!

mixbench - A GPU benchmark tool for evaluating GPUs and CPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL, OpenMP)