Integer operation means that the result is an integer, and the decimal part of the calculation result will be ignored. ? Although integer operation can only be operated in a relatively small numerical range, this representation is accurate. Most machines are 32-bit, that is, if all 32 bits are used to represent integers, it is 0 to 2 32-1for unsigned integers and-2 31for signed integers.

Floating-point operation means that the result is a floating-point number, and the decimal part of the calculation result will be retained. Although floating-point operation can run in a large numerical range, its representation is only approximate. Because computers can only store integers and real numbers are divisors, floating-point operations are slow and have errors.

CPU central processing unit adopts integer operation. In scientific calculation, the CPU can speed up the operation and improve the efficiency of system execution through integer operation.

In most cases, floating-point operation is used by CPU to assist the processor to complete the processing work that the central processor can't perform or is inefficient and ineffective.

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Because floating-point operation is suitable for any operation between two numbers, it requires a lot of resources. On the processor without FPU, all these operations are completed by software through the C compiler library, which is invisible to programmers. But the performance is very low. On the processor with FPU, for most instructions, all operations are completed by hardware in one cycle.

C compiler does not use its own floating-point library, but directly generates FPU native instructions. When executing mathematical algorithms on processors with FPU, programmers do not have to choose between performance and development time. With FPU, you can use any generated code directly and reliably through advanced tools such as matlab or scilab, while ensuring performance.