trillion floating point operations per second


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Related to trillion floating point operations per second: gigaflop, Petaflop
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Noun1.trillion floating point operations per second - (computer science) a unit for measuring the speed of a computer system
computer science, computing - the branch of engineering science that studies (with the aid of computers) computable processes and structures
unit, unit of measurement - any division of quantity accepted as a standard of measurement or exchange; "the dollar is the United States unit of currency"; "a unit of wheat is a bushel"; "change per unit volume"
megaflop, MFLOP, million floating point operations per second - (computer science) a unit for measuring the speed of a computer system
References in periodicals archive ?
The petaflop (PFLOP) machine has been built to process speeds of a thousand trillion floating point operations per second.
It also contains 454 blade servers with 3,632 cores for product processing and distribution across all environments, delivering approximately 40 trillion floating point operations per second of processing power.
We can do this because we have automated the manual processes normally associated with mold design and toolpath generation through the use of proprietary software running on a compute cluster at over 2 trillion floating point operations per second.
1) Teraflop:One trillion floating point operations per second.
9 trillion floating point operations per second (TFLOPS), making it the most powerful system in the East German Federal States.
One TFLOPS is one trillion floating point operations per second, which is equivalent, in theory, to the processing performance delivered by a total of 512 supercomputers linked with each other, according to NEC.
The system also contains 454 blade servers with 3,632 cores for product processing and distribution across all environments, delivering approximately 40 trillion floating point operations per second of processing power.
The larger significance of these rankings is that we have demonstrated that a single university lab can achieve terascale performance," added Matsuoka, referring to systems capable of performing a teraflop, or one trillion floating point operations per second.