In its more than 40 years of existence, the Evergreen Point Floating Bridge has been battered by high-speed winds and even withstood a barge crashing into it.
在过去的40多年里，长青点浮桥经受住了狂风的摧残和驳船的撞击。
These workloads heavily use either the floating-point units or the memory bandwidth.
这些工作负荷会占用大量的浮点单元或内存带宽。
Float: a floating point number.
浮点数：一个浮点数。
Calculations that require strict floating-point semantics should be handled on the server side.
需要严格遵守浮点语义学的计算应当在服务器端处理。
It also has the first decimal floating-point unit integrated in silicon.
它还首次在芯片中集成了十进制浮点单元。
There are differences in the definition of floating-point Numbers and long variable types.
浮点型数字和长变量类型的定义是有差异的。
One of the trickiest checks in regression setups is doing floating point comparisons.
回归测试中最棘手的检查之一是浮点比较。
Floating point arithmetic is rarely exact.
浮点运算很少是精确的。
Note that floating-point multiplication doesn't have these issues.
注意浮点乘法没有这样的问题。
An attempt was made to execute a floating point instruction when the floating point available bit in the MSR (machine status register) was disabled.
如果在MSR(机器状态寄存器)中可用的浮点位被禁用，将尝试执行一个浮点指令。
For example, the C programming language has integer and floating-point types.
例如，c编程语言具有整型和浮点类型。
These are based on the IEEE 754 standard, which defines a binary standard for 32-bit floating point and 64-bit double precision floating point binary-decimal Numbers.
它们都依据IEEE 754标准，该标准为32位浮点和64位双精度浮点二进制小数定义了二进制标准。
Why do you need separate macros for floating point comparisons?
为什么需要用单独的宏进行浮点数比较？
It lacked floating point and parallel processing ability.
它缺少浮点和并行处理功能。
Those topics deal with floating point and vector processing and are outside the scope of this article.
这些主题涉及的是浮点和向量处理，已经超出了本文的范围。
If you're reading a floating point number, there are other concerns.
如果您读取的浮点数，还有另外需要关注的问题。
It had separate floating point registers and could scale from the low - to the high-end workstations.
它有单独的浮点寄存器，可以从低端工作站扩展到高端工作站。
A physical processor is organized as different execution units at the hardware level, for example, fixed point and floating point operation units.
在硬件级别中，物理处理器是作为不同的执行单元进行组织的，例如定点和浮点操作单元。
Floating point and decimal Numbers are not nearly as well-behaved as integers, and you cannot assume that floating point calculations that "should" have integer or exact results actually do.
浮点数和小数不象整数一样“循规蹈矩”，不能假定浮点计算一定产生整型或精确的结果，虽然它们的确“应该”那样做。
The fitness formula should return a floating point number between 0 and 1.
适应性公式返回的是介于0和1之间的一个浮点数。
In future articles, I plan to take a closer look at floating point workloads.
在未来的文章中，我计划仔细研究一下浮点工作负载。
If you want to force a floating-point result, be sure that at least one of the operands is a floating-point type.
如果要强制取得浮点结果，则必须确保操作数中至少有一个为浮点类型。
IEEE 754 represents floating point Numbers as base 2 decimal Numbers in scientific notation.
IEEE 754用科学记数法以底数为2的小数来表示浮点数。
Remember, integer arithmetic is much faster than floating-point arithmetic, as it can usually be done directly by the processor, rather than relying on external FPUs or floating point math libraries.
记住，整形数运算要比浮点数运算快得多，因为处理器可以直接进行整型数运算，浮点数运算需要依赖于外部的浮点数处理器或者浮点数数学库。
They support Numbers of different types (integers and floating point), characters, strings, and so on.
它们支持许多不同的类型(整型和浮点型)、字符、字符串等等。
Other ranges can be used, but in my experience floating point numbers work best.
您也可以使用其它的范围的数，但是我的经验告诉我，浮点数是最有效的。
Supported variables include integers, floating point Numbers, strings, arrays, and objects.
支持的变量包括整型、浮点型的数字、字符串、数组和对象。
Likewise, floating-point values are passed through the floating-point registers 1 through 13.
同理，浮点值是通过浮点寄存器1到13传递的。
Floating point Numbers are not exact, and manipulating them will result in rounding errors.
浮点数不是精确值，所以使用它们会导致舍入误差。
The number is in seconds but may be a floating point value.
刷新时间的单位为秒，但可能是浮点值。
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