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Floating-point unit

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

In most modern general purpose computer architectures, one or more FPUs are integrated with the CPU; however many embedded processors, especially older designs, do not have hardware support for floating-point operations.

In the past, some systems have implemented floating point via a coprocessor rather than as an integrated unit; in the microcomputer era, this was generally a single integrated circuit, while in older systems it could be an entire circuit board or a cabinet.

Not all computer architectures have a hardware FPU. In the absence of an FPU, many FPU functions can be emulated, which saves the added hardware cost of an FPU but is significantly slower. Emulation can be implemented on any of several levels: in the CPU as microcode, as an operating system function, or in user space code.

In most modern computer architectures, there is some division of floating-point operations from integer operations. This division varies significantly by architecture; some, like the Intel x86 have dedicated floating-point registers, while some take it as far as independent clocking schemes.

Floating-point operations are often pipelined. In earlier superscalar architectures without general out-of-order execution, floating-point operations were sometimes pipelined separately from integer operations. Since the early and mid-1990s, many microprocessors for desktops and servers have more than one FPU. In personal computers prior to the 486 processor, the FPU was a seperate chip. The 486DX chips had an FPU, while the 486SX chips did not. From the original Pentium and onward, all consumer PC CPU's have contained FPU's.

GIMPS software (Prime95) makes extensive use of the FPU and even the earliest versions of the software required an FPU to be present.

See also

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