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Floating point operations per second (FLOPS, flops or flop/s) is a measure of computer performance in computing, useful in fields of scientific computations that require floating-point calculations. [1] For such cases, it is a more accurate measure than measuring instructions per second. [citation needed]
In computing, floating-point arithmetic (FP) is arithmetic on subsets of real numbers formed by a significand (a signed sequence of a fixed number of digits in some base) multiplied by an integer power of that base. Numbers of this form are called floating-point numbers. [1]: 3 [2]: 10
The performance of a computer is a complex issue that depends on many interconnected variables. The performance measured by the LINPACK benchmark consists of the number of 64-bit floating-point operations, generally additions and multiplications, a computer can perform per second, also known as FLOPS. However, a computer's performance when ...
A graphical demo running as a benchmark of the OGRE engine. In computing, a benchmark is the act of running a computer program, a set of programs, or other operations, in order to assess the relative performance of an object, normally by running a number of standard tests and trials against it.
SPEC CPU2017 is a suite of benchmark applications designed to test the CPU performance. The suite is composed of two sets of tests. The first being CINT (aka SPECint) which is for evaluating the CPU performance in integer operations. The second set is CFP (aka SPECfp) which is for evaluating the CPU floating-point operations performance.
The work denotes the number of operations performed by a given kernel or application. [1] This metric may refer to any type of operation, from number of array points updated, to number of integer operations, to number of floating point operations (FLOPs), [2] and the choice of one or another is driven by convenience.
The benchmark employs 8 test procedures, with three executing standard floating point calculations, two with such as COS or EXP functions, one each for integer arithmetic, branching or memory assignments. Output from the original comprised parameters used for each test, numeric results produced and the overall KWIPS performance rating.
1×10 21: Accurate global weather estimation on the scale of approximately 2 weeks. [19] Assuming Moore's law remains applicable, such systems may be feasible around 2035. [20] A zettascale computer system could generate more single floating point data in one second than was stored by any digital means on Earth in the first quarter of 2011.