注意浮点乘法没有这样的问题。
Note that floating-point multiplication doesn't have these issues.
该浮点乘法可以实现任意位的乘法运算。
spu_mul处理浮点乘法(单精度和多精度)。
Spu_mul handles floating point multiplication (single and double precision).
整个双精度浮点乘法器的设计分为10级流水线。
运用流水线技术对单精度浮点乘法和加法运算单元进行了优化设计。
For optimizing floating-point units, a design based on pipeline techniques is described in this paper.
提出了一种基于IEEE754标准的双精度浮点乘法器的流水线设计方法。
A new design method of pipelined multiplier for double precision floating point data based on IEEE754 standard was proposed.
此压缩器已作为一个压缩模块，用在32位浮点乘法器的软核设计中，得到了很好的结果。
The compressor has been used in the IP software core design of 32bits floating multiplier as a module, and acquire a good result.
任何浮点操作，例如加法和乘法，都可以通过几个步骤来实现。
Any floating-point operation like addition or multiplication is achieved in a few discrete steps.
单纯的浮点加法和乘法已经远远不能满足数字计算的需求。
The computational demand goes beyond fast floating-point addition and multiplication.
是一个十进制数，所有的结果都充分考虑整数乘法，浮点数学吗？
Is Multiplying a decimal number where all results are full integers, considered Floating Point Math?
传统的浮点乘加部件采用“乘法-加法-规格化-舍入”的结构。
The structure of traditional FMAF is "multiply - add - normalize - round".
传统的浮点乘加部件采用“乘法-加法-规格化-舍入”的结构。
The structure of traditional FMAF is "multiply - add - normalize - round".
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