Thanks for visiting Scientific Computing World.

You're trying to access an editorial feature that is only available to logged in, registered users of Scientific Computing World. Registering is completely free, so why not sign up with us?

By registering, as well as being able to browse all content on the site without further interruption, you'll also have the option to receive our magazine (multiple times a year) and our email newsletters.

Tesla 20 series

Share this on social media:

Nvidia has unveiled its Tesla 20-series of parallel processors for the HPC market, based on its new generation Cuda processor architecture, codenamed Fermi.

Designed from the ground-up for parallel computing, the Nvidia Tesla 20-series GPUs slash the cost of computing by delivering the same performance of a traditional CPU-based cluster at one-tenth the cost and one-twentieth the power.

The Tesla 20-series introduces features that enable many new applications to perform dramatically faster using GPU computing. These include ray tracing, 3D cloud computing, video encoding, database search, data analytics, computer-aided engineering and virus scanning.

At their core, Tesla GPUs are based on the massively parallel Cuda computing architecture that offers developers a parallel computing model that is easier to understand and program.

Company: