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What is Matrix Arrayfire 2017 about?

This document provides an introduction to using the ArrayFire library for matrix computations on GPUs with Python and C/C++. It highlights the ease of use of ArrayFire compared to other platforms like CUDA and OpenCL, and presents various functionalities including defining arrays, matrix operations, and plotting. The document also includes updated code examples compatible with ArrayFire 3.5 and discusses performance considerations for different hardware configurations.

Author

achrzesz3

Language

EN