ArrayFire ArrayFire
Use this command to install ArrayFire:
winget install --id=ArrayFire.ArrayFire -e A fast library for general purpose GPU computation and algorithms.
ArrayFire is a high-performance library designed for general-purpose GPU computation and algorithms. It provides developers with the tools to accelerate mathematical computations, signal processing, image processing, and machine learning tasks by leveraging the power of graphics processing units.
Key Features:
- Cross-platform Compatibility: Supports Windows, Linux, macOS, and Tegra X1 platforms.
- Community-Driven Development: Actively maintained by an open-source community on GitHub.
- Optimized Algorithms: Implements efficient algorithms for linear algebra, image processing, and machine learning.
- Integration with Popular Frameworks: Built on CUDA 12.2 and oneAPI 2023.2, ensuring compatibility with modern GPU architectures.
Audience & Benefit: Ideal for developers, data scientists, researchers, and engineers who require high-performance computational capabilities. ArrayFire enables users to accelerate their applications significantly compared to CPU-based solutions, while maintaining a user-friendly interface that simplifies the integration of GPU acceleration into existing workflows.