CUVI Lib – CUDA for Vision and Imaging Library

Image Processing algorithms are used in a variety of different domains, from surveillance to medicine to industry. CUVI adds acceleration to these algorithms and provides you with an easy and cost-effective way to speed up your image processing applications. CUVI is in Beta stage and you can try it out for free (for non-commercial use).

The beauty of CUVI is in the time and (minimal) effort it takes to achieve acceleration on time-critical applications. We encourage you to test it out yourself to experience the value it adds in terms of speed. Our GPU experts are always an email away from assisting you to set up and use CUVI. We have put man-months in documenting every aspect of CUVI to make it easy to use for the novice of users and this is where our real strength lies. Product Page

This is a speed comparison between CUVILib and OpenCV. We have chosen KLT because it is one of the most advanced and compute extensive algorithms of computer vision. Our implementation on GPUs is magnitudes faster than that of OpenCV.

Bulk Encryption on GPUs

TunaCode offers accelerated Data Encryption Engine, GPUCrypt, supporting Advanced Encryption Standard (AES 256-bit). Our GPU based solution gives a performance gain of up to 17 times when compared with popular CPU based Encryption Engines.

AES is one of the most secured data Encryption standards and is approved by NSA for securing your Top Secret Information. GPUCrypt has been designed to integrate flawlessly into your framework with plug-and-play ease, without implicit knowledge of Graphics hardware. We support a wide variety of compute capable Graphics hardware including CUDA capable Nvidia Tesla & Nvidia Geforce series as well as AMD Radeon HD 4000 series and above. This makes it well suited for end consumers, data centers and back-end servers to continually encrypt and protect their private data.

Please contact us for a free evaluation of your current framework that can take benefit from GPUCrypt Engine. We offer off-the-shelf binaries with developer documentation supporting Windows, Linux and Mac OS X based platforms as well as custom integration services.