<a href="http://blog.accelereyes.com/blog/wp-content/uploads/2011/06/libjacket_logo_small.png"><img class="alignright size-medium wp-image-1350" title="libjacket_logo_small" src="http://blog.accelereyes.com/blog/wp-content/uploads/2011/06/libjacket_logo_small-300x195.png" alt="" width="300" height="195" /></a>LIBJACKET v1.0 is here!

It is the <em>Matrix Companion to CUDA</em>, providing a high-productivity performance layer for GPU computing.

<a href="http://www.accelereyes.com/download_libjacket" target="_blank">Download now</a> to start a free 15-day trial.

It integrates seamlessly with any CUDA code, but can also be used to avoid writing complicated GPU kernels yourself via its matrix interface. Soak up its features, <a href="http://www.accelereyes.com/products/libjacket" target="_blank">here</a>.

We're celebrating this launch by offering two big promotions, one for existing Jacket programmers and one for the broader GPU computing community:
<ol>
	<li>Existing Jacket customers get 50% off libJacket.</li>
	<li>Buy a Tesla, Get a Free libJacket subscription.</li>
</ol>
<a href="http://www.accelereyes.com/products/special_offers">Learn more</a> about these offers.

Here are some other links of interest to this launch:
<ul>
	<li><a href="http://www.accelereyes.com/libjacket_tour">Tour</a></li>
	<li><a href="http://www.accelereyes.com/wiki/libjacket">Documentation</a></li>
	<li><a href="http://www.accelereyes.com/products/benchmarks_libjacket">Function benchmarks</a></li>
	<li><a href="http://www.accelereyes.com/news/libjacket_1.0">Press release</a></li>
</ul>
Over the years, we've been thrilled to see Jacket fill an important role in so many GPU projects in MATLAB®. After 6 months of working with thousands of libJacket beta users, we are pleased to arrive at this point.

We look forward to hearing your libJacket stories (e.g. on the <a href="http://forums.accelereyes.com">forums</a>) as you ramp up with v1.0.