Sentences with phrase «floating point operations»

It achieved speeds of over 100 million flops (floating point operations per second).

That's 93 quadrillion floating point operations per second (or 93 million billion).

And China recently announced plans to upgrade the Tianhe - 2 machine to about 100 petaflops (quadrillions of floating point operations per second).

Pleiades, built by SGI, contains an astounding 210,336 cores, 32,768 GPU cores, and 719 TB of memory, with a LINPACK rating of 3.38 petaflops (3.38 quadrillion floating point operations per second).

Its processing power will then more than double from 1.4 to 3 Petaflops, that is 3 quadrillion floating point operations per second.

Superconducting electronics could be a boon to efforts to build the world's first petaflop computer — capable of one thousand trillion floating point operations per second — says superconductivity expert John Rowell of Northwestern University in Evanston, Illinois.

The Cray - 2 upheld the formidable tradition, cranking out a world - record 488 million floating point operations per second.

The «floating point operation» or «flop» is an incredibly bad unit to use to compare the power efficiency of the...

Each node is capable of 128 gigaflops (128 billion floating point operations per second).

Petascale machines operate in petaflops, or one million billion (1015) floating point operations per second.

Exascale supercomputers will perform exaflops, or a billion billion (1018) floating point operations per second.

The speed of the Cherry Creek supercomputer is incomprehensible to most of us, but UNLV supercomputer administrators are geeked about its «massively parallel processing» and FLOPS speed rating of 200 trillion floating point operations per second.

His logic goes something like this: the OMAP 4470 can do 12 billion floating point operations per second while Nvidia's Tegra 3 can do only 8 billion.

The 8.9 - inch Kindle Fire HD is powered by a dual - core 1.5 GHz TI OMAP4 4470 processor, with an on - board SGX544 graphics engine that's capable of over 12 billion floating point operations per second — or 50 percent more than Nvidia's Tegra 3 processor.

The 8.9» Kindle Fire HD is powered by the latest generation OMAP4 4470 processor and Imagination SGX544 graphics engine capable of over 12 billion floating point operations per second, and both Kindle Fire HD 7» and 8.9» come with higher memory bandwidth than Tegra 3.

It looks like China is not completely happy leading the top 500 supercomputer list with their Tianhe - 1A supercomputer capable of 2.5 petaflops (2.5 thousand trillion floating point operations per second) but also wants to cut their dependency of foreign technology altogether, in this case foreign made processors.

Of course, that's not as powerful as an Nvidia GeForce GTX 1080 or 1080 Ti, for instance, and PC gamers might scoff at this feat, but processing 6 trillion floating point operations per second is an impressive achievement for a gaming console.

The upcoming console from Microsoft has been confirmed to feature 6 teraflops (trillion floating point operations per second) of graphical computing performance as well as an eight - core AMD APU making it perfectly compatible to successfully support gaming in the highest resolution specification possible.

The Xbox One X contains six trillion floating point operations per second with 326GB / s and 12 GB GDDR5 RAM, giving it the most graphical horsepower in rendering native 4K HD graphics at 60 frames per second.

FLOPS means Floating - Point Operations per Second, and peta is 1016 (or a thousand) million floating point operations per second.

«In 2018 the cost of FLOPS» — floating point operations per second — «will be among the least expensive aspects of a machine, and the cost of moving data across the chip will be the most expensive.

Cheyenne is capable of 5.34 quadrillion calculations per second (5.34 petaflops, or floating point operations per second).

Its second - generation TPU technology can handle 180 trillion floating point operations per second; 64 TPU boards in one super computer can handle 11.5 petaflops.

Thanks to Google - designed machine - learning chips that process more than 180 trillion floating point operations per second, Google Lens can give a description of a building in a photo, identify the artist of a painting, or even enter a Wi - Fi password automatically from a photo of the underside of a Wi - Fi router.

Amazon claims it has three times the processing power of Apple TV, Chromecast or Roku 3, and says it can process 57 billion floating point operations per second.