Sentence examples for Floating point operations per second from inspiring English sources
An exascale computer is one that can perform a quintillion floating point operations per second, thought to be same power as a human brain.
It can do this work at a speed of about half a teraflop, or half a trillion floating point operations, per second.
That though requires graphics processors that can handle huge numbers of floating point operations per second (flops) – but, as Waldern says, that's available.
By the year 2010, weather prediction will be a whole lot more accurate than it is today, thanks to the teraflop -- or one trillion floating point operations per second.
Specs: AMD Jaguarr' eight-core CPU 1.84 teraflops (trillion floating point operations per second), AMD next-generation Radeon-based GPU; 8GB of GDDR5 RAM The lowdown: A reduced-size PS4 that replaces the basic model, offering the same specifications in a 40% smaller case.
"Machines that run exaflops [1018 floating point operations per second] are on the horizon," Palmer says.
The main goal, Robinson says, is to develop a new computer that will use parallel processors to achieve a speed of 100 trillion floating point operations per second--a 50-fold increase in speed over the system Celera uses today.
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 PS4 Pro offers a considerably more powerful version of the basic PS4 architecture, and a higher spec than the Xbox One S. The central processing unit has had a 30% speed boost from 1.6GHz to 2.1GHz, while the graphics processing unit has leapt from 1.84 TFLOPs (trillion floating-point operations per second) in the original machine to 4.2 TFLOPs, a substantial lift in performance.
The K computer was the first 10 petaflop supercomputer (1015 floating-point operations per second; Yokokawa et al. 2011).
This massively parallel system exploits system-on-a-chip technology to deliver a target peak of 360 teraFLOPS (trillion floating-point operations per second).
