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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]
HPE Frontier at the Oak Ridge Leadership Computing Facility is the world's first exascale supercomputer. Exascale computing refers to computing systems capable of calculating at least 10 18 IEEE 754 Double Precision (64-bit) operations (multiplications and/or additions) per second (exa FLOPS)"; [1] it is a measure of supercomputer performance.
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.
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 ]
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]
The arithmetic intensity, also referred to as operational intensity, [3] [7] is the ratio of the work to the memory traffic : [1] = and denotes the number of operations per byte of memory traffic. When the work W {\displaystyle W} is expressed as FLOPs , the resulting arithmetic intensity I {\displaystyle I} will be the ratio of floating point ...
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Adjusted Peak Performance (APP) is a metric introduced by the U.S. Department of Commerce's Bureau of Industry and Security (BIS) to more accurately predict the suitability of a computing system to complex computational problems, specifically those used in simulating nuclear weapons.