Method and device for processing floating point numbers

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; under the condition that the X and the Y are not zero, performing exponent matching on the X and the Y; calculating the exponent of a final result; respectively segmenting the mantissas of the X and the Y whose exponents are matched, and respectively calculating results of each segment data of the mantissa of the X and each segment data of the mantissa of the Y; according to calculation result, generating a final mantissa; according to the final mantissa and the exponent obtained by calculation, generating a calculation result; and performing normalizing processing on the calculation result, to obtain a final 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 (Graphics Processing Unit, graphics processing unit), also known as graphics processing unit, display core, visual processor, display chip, is a kind of graphics processing unit specially used in personal computers, workstations, game consoles and some mobile devices (such as tablet computers, smart phones) etc.) Microprocessors that work on image operations. [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 unit...

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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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