We're pleased to announce the arrival of ArrayFire for NVIDIA Tegra K1!

This version of ArrayFire comes with all the capabilities and features of our standard version of ArrayFire. It includes all ArrayFire CUDA functionality—with the exception of linear algebra support—as well as fully operational graphics support. ArrayFire for Tegra currently works with Tegra K1 processors running <a href="https://developer.nvidia.com/linux-tegra">Linux for Tegra</a>.

We invite and encourage you to test it out on your boards and give us feedback; any bug fixes or performance improvements will be promptly resolved, as this is a separate branch of ArrayFire.

If you'd like to deploy ArrayFire in production environments not running Linux, feel free to <a href="http://sandbox.arrayfire.com/company/#contact">contact us</a> for further support. We are open to partnering with any users wishing to deploy ArrayFire in production environments not running Linux.

But wait—there's more!

We'll be releasing the OpenCL version of ArrayFire for Tegra K1 as soon as the OpenCL support is available from NVIDIA.

A couple weeks ago, we released a blog post on <a title="Image Processing Benchmarks on Tegra" href="http://sandbox.arrayfire.com/arrayfire-on-nvidia-tegra-tk1/" target="_blank">Image processing on Tegra K1</a>—check it out for initial performance numbers.

<strong><a title="Download" href="http://sandbox.arrayfire.com/download/" target="_blank">Download ArrayFire for NVIDIA Tegra K1</a></strong>