We are excited to announce ArrayFire v3.5.1, our open-source library of parallel computing functions supporting CUDA, OpenCL, and CPU devices. This release focuses on fixing bugs and improving performance. Here are some of the improvements available to you with this latest release:

<strong>CUDA grid limitations</strong>

We've squashed a long standing bug in the CUDA backend responsible for breaking whenever the second, third, or fourth dimensions were large enough to exceed limits imposed by the CUDA runtime.

<strong>Overflow-free <code>mean()</code></strong>

The previous implementation of <code>af::mean()</code> suffered from overflows when the summation of the values lied outside the range of the backing data type. New kernels for each of our backends have been written to prevent this issue.

<strong>Workaround for Apple OpenCL bug</strong>

We have also written a workaround for a bug present in Apple's OpenCL driver. The bug occurs when passing ~static const~ C arrays in to <code>clEnqueueWriteBuffer()</code>. We have patched up <code>af::canny()</code> and are working on releasing another patch which fixes several of our examples that are similarly affected.

These are just a few of the improvements in ArrayFire v3.5.1, so be sure to visit the release notes for more information.


[custom_headline type="left" level="h4" looks_like="h4"]Future Releases[/custom_headline]

As always we are working on improving the performance of all of our functions. This has been another exciting update to ArrayFire and we have great plans for the next release. Stay tuned!

** Download

ArrayFire v3.5.1 can be downloaded from these locations:

- Binaries
- Source code

** Community

ArrayFire is continually improving through the addition of new functions and features. We welcome your feedback:

- General discussion forums on the ArrayFire Google Group
- Live discussion chat on the ArrayFire Gitter
- Issue reports on the ArrayFire GitHub

As you find success with ArrayFire, we invite you to contribute a post to this blog to share with the broader community. Email sales@arrayfire.com to contribute to this blog.

** Dedicated Support and Coding Services

ArrayFire offers dedicated support packages for ArrayFire users.

ArrayFire serves many clients through consulting and coding services, algorithm development, porting code, and training courses for developers. Contact us at sales@arrayfire.com or schedule a free technical consultation to learn more about our consulting and coding services.