Intel produces one teraflop computer chip

Intel has developed an accelerator chip capable of running at speeds of one teraflops, equal to one trillion calculations per second.Intel produces one teraflop computer chipThe firm showed off the chip, dubbed Knights Corner, on a test machine at a supercomputing conference in Seattle.

Computer power on this scale is used to solve a range of problems in fields such as weather forecasting, molecular modelling and car crash simulations.

The chip pits Intel against rival add-on processors from Nvidia and AMD.

The Knights Corner chip acts as a co-processor – taking over some of the most complicated tasks from the computer’s central processing unit (CPU).

It packs more than 50 cores – or individual processors – onto a single piece of silicon.

The chip offers “double precision” processing which allows numbers to be stored and calculated with greater accuracy – resulting in faster calculations.

Intel says the accelerator is also the first server processor to support full integration of the PCI Express 3.0 specification. The technology allows data to be transferred at up to 32 gigabytes per second to compatible devices – twice the speed of the previous generation.

“Collecting, analysing and sharing large amounts of information is critical to today’s science activities and requires new levels of processor performance and technologies designed precisely for this purpose,” said Rajeeb Hazra, Intel’s general manager of technical computing.

“Having this performance now in a single chip… is a milestone that will once again be etched into HPC [high performance computing] history,” he added.

While Intel’s co-processor relies on the same instruction set architecture as its popular x86 processors, its rivals are taking a different approach.

They are offering chips known as graphic processing units (GPUs) which are designed to carry out the calculations necessary to draw, colour and shade objects on the screen at high speed.

They specialise in processes that can be broken down into several parts, where the output of one calculation does not affect the input of another. This makes them particularly well suited for other tasks such as speech recognition and image processing.

However, developers need to code their software in order to take best advantage of GPUs.

By contrast, Intel’s accelerator should be able to run existing applications at high speed without the need for further software development.

November 17, 2011  Tags: , , , ,   Posted in: Business Growth, Business Win, Technological Businesses, Uncategorized, Winning Business

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