Method and device for processing floating-point number

Abstract

Embodiments of the invention disclose a method and a device for processing floating-point numbers. The method comprises: obtaining a first target floating-point number X and a second target floating-point number Y; obtaining an operation rule of the X and the Y; determining whether the X and the Y are not zero; if the X and the Y are not zero, and exponents of the X and the Y are not equal, matching exponents of the X and the Y; respectively segmenting the mantissas of the X and the Y whose exponents are matched, converting each segment of data to a floating-point number with single precision; respectively calculating results of mantissa corresponding segment data, according to result of each segment of data obtained by calculation, generating final mantissas; and generating a calculation result; and performing normalizing processing on the calculation result. Using the method, the mantissa of a floating-point number with high precision is segmented, and each segment of mantissa is converted to the floating-point number with single precision to calculate, so that lower-end CPU products which do not have double-precision floating-point number computing power have high-precision floating-point number computing power, and computing power of the lower-end CPU products on the high-precision floating-point number is improved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a floating-point number processing method and device. Background technique [0002] GPU (GraphicsProcessingUnit, graphics processing unit), also known as graphics processor, display core, visual processor, display chip, is a special graphics processing unit in personal computers, workstations, game consoles and some mobile devices (such as tablets, smartphones, etc.) Microprocessor for image computing work. [0003] At present, the floating-point number calculation performance of the GPU is much higher than that of the CPU, so the GPU is also mainly used for floating-point number calculations. [0004] However, due to cost and market segmentation considerations, GPU manufacturers will retain double-precision floating-point hardware computing units on high-end GPU products, and reduce double-precision floating-point hardware computing units on mid- and low-end GPU products. Lo...

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Problems solved by technology

[0004] However, due to cost and market segmentation considerations, GPU manufacturers will retain double-precision floating-point hardware computing units on high-end GPU products, and reduce double-precision floating-point hardware computing units on mid- and low-end GPU products. Low-end and mid-end GPU products have poor double-precision floating-point calculation capabilities, or even do not have double-precision floating-point calculation capabilities.

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