内核不能轻松执行浮点运算。
浮点运算永远不会引发异常。
真正的程序员鄙视浮点运算。
浮点运算很少是精确的。
在很多高精度计算场合需要采用浮点运算。
Floating-point (FP) arithmetic is usually used in many high accuracy calculation fields.
指示对象是否包含不精确计算，如浮点运算。
Indicates whether the object contains an imprecise computation, such as floating point operations.
浮点运算是高性能计算研究中的一个重要领域。
The floating point arithmetic is very important for high performance arithmetic.
本文主要研究超高精度浮点运算中的关键技术。
In this paper we mainly study for the key technology of super precision floating point arithmetic.
浮点运算是高性能计算研究中的一个重要领域。
Floating point arithmetic is one of the most important one in high performance arithmetic.
混合固定效应敏感依靠规模变量，浮点运算的问题。
MIXED fixed effects sensitive to magnitude of dependent variable, floating point problems.
浮点数加法运算是浮点运算中使用频率最高的运算。
The Floating-point addition is the highest frequent operator.
为了确保运算过程有足够的精度，必须采用浮点运算。
In order to ensure the precision of operation, floating point number calculate scheme is obligatory.
最好将浮点运算保留用作计算本来就不精确的数值，譬如测量。
It is best to reserve the use of floating point arithmetic for calculations that involve fundamentally inexact values, such as measurements.
该记录仪充分发挥了DSP具有浮点运算和处理速度快的优势。
The Electrocardiogram takes fully the advantage of DSP that has the float point computation ability and a rapid process speed.
因此，浮点运算可能导致舍入误差，产生的结果接近—但不等于—您可能希望的结果。
As a result, floating point operations may result in rounding errors, yielding a result that is close to — but not equal to — the result you might expect.
虽然几乎每种处理器和编程语言都支持浮点运算，但大多数程序员很少注意它。
While nearly every processor and programming language supports floating point arithmetic, most programmers pay little attention to it.
原因是这些快速算法虽减少了计算复杂性，但在计算过程中仍需要大量浮点运算。
The reason beyond this is that those fast algorithms do reduce the complexity of computing but still one needs to use floating-point arithmetic operations in the computation process.
它速度快、硬件兼容性良好、可调，且不需要较高的精确浮点数或是浮点运算技巧。
Moreover, high precise floating number and skill of floating point calculation are not needed.
更新于(2005)-IBM的深蓝电脑据说每秒能处理227上兆次的浮点运算。
UPDATE (2005) - IBM's Blue Gene computer can reportedly process 227 trillion flops per second.
几何对象的不精确以及计算机浮点运算生成的误差积累，势必会影响几何算法的可靠性。
The reliability of geometric algorithm is reduced by two reasons which are presenting inaccuration and computer′s floating operation.
最后应用浮点运算模块设计浮点FFT处理器，在FPGA中实现高精度的FFT处理。
At last the FP operation modules are used to design FP FFT processor, achieve high precision of FFT processing on FPGA.
在本文中，对“代码识别器”要重点了解它做了许多浮点运算循环并花费了很长的运行时间。
The important thing to know about "code_recognizer" for this article is that it does a lot of looping floating point math, and it takes a long time to run.
采用MPU进行浮点运算时的舍入误差现象的分析，提出了一种减小舍入误差的树型分析法。
The author analyses the rounded errors in floating operation with MPU, put forward a tree analytical method for subtracting rounded errors.
该设备的处理速度可以达到80~100亿次浮点运算/秒，相当于一台标准PC处理能力的4~8倍。
The device can process between 8 and 10 gigaflops, or about eight to four times the processing power of a standard PC. One gigaflop equals 1 billion floating operations per second.
在具有高速浮点运算能力的DSP芯片上进行高效率编程，生成转子匝间短路在线监测系统。
The integrated efficient diagnosis program at high-speed floating point DSP chip is made to produce a set of on-line inter-turn short circuit monitor system.
该文基于语音识别在缺乏浮点运算能力的嵌入式系统上的实现，给出了一种快速高斯计算的新方法。
This paper proposes a new approach for fast gaussian computing based on the embedded speech-recognition implementation lacking of float-point computation ability.
该文基于语音识别在缺乏浮点运算能力的嵌入式系统上的实现，给出了一种快速高斯计算的新方法。
This paper proposes a new approach for fast gaussian computing based on the embedded speech-recognition implementation lacking of float-point computation ability.
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