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Double-precision floating-point format (sometimes called FP64 or float64) is a floating-point number format, usually occupying 64 bits in computer memory; it represents a wide range of numeric values by using a floating radix point.
FLOPS can be recorded in different measures of precision, for example, the TOP500 supercomputer list ranks computers by 64 bit (double-precision floating-point format) operations per second, abbreviated to FP64. [9] Similar measures are available for 32-bit (FP32) and 16-bit (FP16) operations.
Thus the FP16 (or 16-bit integer) FLOPS is twice the FP32 (or 32-bit integer) FLOPS. Since the throughput of FP64 instructions are 2 cycles, the FP64 FLOPS is a quarter (eighth in Apollo Lake) of the FP32 FLOPS. Each Subslice contains 8 EUs (two of which are disabled in GT1) and a sampler (4 tex/clk), and has 64 KB shared memory.
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 running actual applications is likely to be far behind the maximal performance it achieves running ...
The Intel 8231 (and revised 8231A) is the Arithmetic Processing Unit (APU). It offered 32-bit "double" precision (a term later and more commonly used to describe 64-bit floating-point numbers, whilst 32-bit is considered "single" precision) floating-point, and 16-bit or 32-bit ("single" or "double" precision) fixed-point calculation of 14 different arithmetic and trigonometric functions to a ...
The 8087 was the first math coprocessor for 16-bit processors designed by Intel. It was built to be paired with the Intel 8088 or 8086 microprocessors. (Intel's earlier 8231 and 8232 floating-point processors, marketed for use with the i8080 CPU, were in fact licensed versions of AMD's Am9511 and Am9512 FPUs from 1977 and 1979.
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.
On x86 and x86-64, the most common C/C++ compilers implement long double as either 80-bit extended precision (e.g. the GNU C Compiler gcc [13] and the Intel C++ Compiler with a /Qlong‑double switch [14]) or simply as being synonymous with double precision (e.g. Microsoft Visual C++ [15]), rather than as quadruple precision.