19Oct/09Off

Introduction to the CULA Team

by CULA Dev Team

With the release of CULA 1.0, we (the CULA team) thought it would be a great idea to interact more closely with our users. Before today, we've interacted with many of you on our forums and via email, but we'd like to extend our communication in ways for which the forum isn't quite the appropriate outlet. To meet this goal, we've decided to start up our very own blog!

The CULA blog will be the resource for what's going on in CULA and related areas. We want this blog to be a mix of technical information, marketing magic, and other things we (and hopefully you) find cool. We hope that it contains information that can help you in your work, will entertain you, and will keep you coming back!

So let's start basic with some introductions - what is CULA and who developed it? CULA is a dense linear algebra library implemented with CUDA. CULA was started because there was an obvious need for a set of linear algebra functions for the GPU based on a large number of requests in many academic papers as well as on many internet forums, including the official CUDA forums. With the help of NASA and NVIDIA we (EM Photonics) brought CULA to the market. CULA is the result of many years of effort and GPU programming experience. An interesting aside: EM Photonics was one of the first companies to release a fully-capable, free program that demonstrated the power of GPUs for general purpose computing that was based on the old-style of OpenGL GPGPU programming. Since then we’ve happily transitioned our work to the CUDA world.

What makes GPU computing (especially CUDA) so exciting? Whether it be modeling, visualization, image processing, physics, or mathematics, your computation time is significantly faster on the GPU! With the release of CULA, which is modeled after the LAPACK interface, we've brought the power of GPU computing to each of these fields as well as many more beyond this small list. We are extremely proud of CULA and are excited to continue building the next generation of GPU computing.

As we add more posts to this blog, we'd like you to stay up to date. Visit our site often or subscribe to our RSS feed to stay up to date. You'll be hearing from us again soon!

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