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  2. Floating point operations per second - Wikipedia

    en.wikipedia.org/wiki/Floating_point_operations...

    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]

  3. Computer performance by orders of magnitude - Wikipedia

    en.wikipedia.org/wiki/Computer_performance_by...

    1.88×10 18: U.S. Summit achieves a peak throughput of this many operations per second, whilst analysing genomic data using a mixture of numerical precisions. [ 16 ] 2.43×10 18 : Folding@home distributed computing system during COVID-19 pandemic response [ 17 ]

  4. Petascale computing - Wikipedia

    en.wikipedia.org/wiki/Petascale_computing

    Petascale computing refers to computing systems capable of performing at least 1 quadrillion (10^15) floating-point operations per second (FLOPS).These systems are often called petaflops systems and represent a significant leap from traditional supercomputers in terms of raw performance, enabling them to handle vast datasets and complex computations.

  5. Floating-point arithmetic - Wikipedia

    en.wikipedia.org/wiki/Floating-point_arithmetic

    The lack of standardization at the mainframe level was an ongoing problem by the early 1970s for those writing and maintaining higher-level source code; these manufacturer floating-point standards differed in the word sizes, the representations, and the rounding behavior and general accuracy of operations. Floating-point compatibility across ...

  6. Zettascale computing - Wikipedia

    en.wikipedia.org/wiki/Zettascale_computing

    Zettascale computing refers to computing systems capable of calculating at least "10 21 IEEE 754 Double Precision (64-bit) operations (multiplications and/or additions) per second (zetta FLOPS)". [1] It is a measure of supercomputer performance, and as of July 2022 [update] is a hypothetical performance barrier. [ 2 ]

  7. Floating-point unit - Wikipedia

    en.wikipedia.org/wiki/Floating-point_unit

    A floating-point unit (FPU), numeric processing unit (NPU), [1] colloquially math coprocessor, is a part of a computer system specially designed to carry out operations on floating-point numbers. [2] Typical operations are addition , subtraction , multiplication , division , and square root .

  8. Whetstone (benchmark) - Wikipedia

    en.wikipedia.org/wiki/Whetstone_(benchmark)

    In 1978, the program was updated to log running time of each of the tests, allowing MFLOPS (Millions of Floating Point Operations Per Second) to be included in reports, along with an estimation of Integer MIPS (Millions of Instructions Per Second). In 1987, MFLOPS calculations were included in the log for the three appropriate tests and MOPS ...

  9. Instructions per cycle - Wikipedia

    en.wikipedia.org/wiki/Instructions_per_cycle

    The number of instructions per second and floating point operations per second for a processor can be derived by multiplying the number of instructions per cycle with the clock rate (cycles per second given in Hertz) of the processor in question. The number of instructions per second is an approximate indicator of the likely performance of the ...