ArrayFire is a general-purpose tensor library that simplifies the process of software development for the parallel architectures found in CPUs, GPUs, and other hardware acceleration devices. The library serves users in every technical computing market. Data structures in ArrayFire are smartly managed to avoid costly memory transfers and to take advantage of each performance feature provided by the underlying hardware. The community of ArrayFire developers invites you to build with us if you're interested and able to write top performing tensor functions. Together we can fulfill The ArrayFire Mission under an excellent Code of Conduct that promotes a respectful and friendly building experience. Rigorous benchmarks and tests ensuring top performance and numerical accuracy. Cross-platform compatibility with support for CUDA, OpenCL, and native CPU on Windows, Mac, and Linux. Built-in visualization functions through Forge.

Features

  • Array handling
  • Computer vision
  • Image processing
  • Linear algebra
  • Machine learning
  • Signal Processing

Project Samples

ArrayFire Screenshot 1

Project Activity

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Categories

System, Libraries, Computer Vision Libraries, Image Processing, Image Processing Libraries

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

C++

Related Categories

C++ System Software, C++ Libraries, C++ Computer Vision Libraries, C++ Image Processing Software, C++ Image Processing Libraries

Registered

2022-04-28
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