In stealth mode since its inception in late 2005, the company now has demonstrated technology that is linearly scalable to several hundred desktops, making it possible to complete OPC or verification tasks within a few hours. Gauda technology runs on standard desktop computers equipped with graphics cards usually sold by companies such as NVIDIA and ATI.

“With the growth of GPU computational capability every year, our technology not only fits today’s needs, but also has the potential to address future computational requirements,” said Dr. Ahmet Karakas, Gauda’s founder, president and CEO.

“Gauda technology is seamlessly portable to current and future GPU platforms. This and many other features of our technology make it a perfect candidate to enable DFM efforts, since our solution is available with minimal or no additional hardware cost.”

Gauda raised seed funding from a world-renowned, high profile group of investors in mid-2006, and is actively developing its first product. The company was founded by Dr. Ahmet Karakas and Ilhami Torunoglu, a veteran of the EDA industry who also has extensive chip design experience, and is staffed by developers with advanced degrees from Caltech and Stanford University.

“In order to reach the speeds we’ve achieved, we ended up developing our own parallel algorithms from scratch. Our solution is not limited to GPUs; we currently use CPU+GPU optimally as a resource in a typical desktop computer, but the software has the potential to expand to other parallel compute engines,” said Ilhami Torunoglu, Gauda’s CTO and co-founder.

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