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.
处理器将数据流解释为要执行的指令，它拥有一个或多个处理单元，用于执行整数和浮点运算以及更高级的计算。
A processor interprets a stream of data as instructions to execute; it has one or more processing units that perform integer and floating-point arithmetic as well as more advanced computations.
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。
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.
整个系统由10台运行着Linux系统750的IBM服务器电源驱动，使用15万亿字节（约13970G）的内存，2880座处理器内核，可以在80万亿次浮点运算。
The system is powered by 10 racks of IBM POWER 750 servers running Linux, and uses 15 terabytes of RAM, 2, 880 processor cores and can operate at 80 teraflops.
整个系统由10台运行着Linux系统750的IBM服务器电源驱动，使用15万亿字节(约13970g)的内存，2880座处理器内核，可以在80万亿次浮点运算。
The system is powered by 10 racks of IBM power 750 servers running Linux, and USES 15 terabytes of RAM, 2,880 processor cores and can operate at 80 teraflops.
浮点加法器是协处理器的核心运算部件，是实现浮点指令各种运算的基础，其设计优化是提高浮点运算速度和精度的关键途径。
High-Speed Floating-point Adder is a critical part in the coprocessor, which is attached to the computing basis of floating-point instructions.
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.
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.
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