Floating point processing apparatus and method
CN120929045BActive Publication Date: 2026-06-09MOORE THREADS TECHNOLOGY (SHANGHAI) CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- MOORE THREADS TECHNOLOGY (SHANGHAI) CO LTD
- Filing Date
- 2025-10-14
- Publication Date
- 2026-06-09
AI Technical Summary
Technical Problem
In existing technologies, floating-point multiplication and addition operations require format conversion first, which reduces the calculation speed.
Method used
The exponent adjustment module performs addition operations on the exponents of floating-point numbers and unifies the data format. It then combines this with the floating-point calculation module to perform multiplication and addition operations, thus omitting the format conversion step.
Benefits of technology
It improves computing speed, reduces hardware costs, and is easier to operate with faster computing speed.
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Smart Images
Figure CN120929045B_ABST
Abstract
This disclosure provides a floating-point number processing apparatus and method. The floating-point number processing apparatus includes an exponent adjustment module and a floating-point number calculation module. The exponent adjustment module is used to perform an addition operation on the exponents of a first floating-point number and a second floating-point number to obtain a first additive exponent, and to unify the data format of the first additive exponent and the exponent of a third floating-point number. The floating-point number calculation module is used to determine a target floating-point number after performing a multiplication-addition operation on the first floating-point number, the second floating-point number, and the third floating-point number based on the unified first additive exponent and the unified third floating-point exponent. In this way, exponent addition and data format unification can be achieved in one step, eliminating the need for an additional format converter, reducing hardware costs while improving calculation speed.
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