Strictfp确保在每个平台上从浮点计算中得到完全相同的结果。如果不使用strictfp, JVM实现可以在可用的地方使用额外的精度。

来自JLS:

Within an FP-strict expression, all intermediate values must be elements of the float value set or the double value set, implying that the results of all FP-strict expressions must be those predicted by IEEE 754 arithmetic on operands represented using single and double formats. Within an expression that is not FP-strict, some leeway is granted for an implementation to use an extended exponent range to represent intermediate results; the net effect, roughly speaking, is that a calculation might produce "the correct answer" in situations where exclusive use of the float value set or double value set might result in overflow or underflow.

换句话说，就是要确保Write-Once-Run-Anywhere实际上意味着write - once - get - equal - wrong - results - everywhere。

使用strictfp，您的结果是可移植的，没有它，它们更可能是准确的。

正如其他答案所提到的，它导致中间浮点结果符合IEEE规范。特别是x86处理器可以存储与IEEE规范不同精度的中间结果。当JIT优化特定的计算时，情况变得更加复杂;指令的顺序可能每次都不同，导致舍入略有不同。

由strictfp引起的开销可能非常依赖于处理器和JIT。 这篇关于SSE2的维基百科文章似乎对这个问题有一些见解。 因此，如果JIT可以生成SSE指令来执行计算，那么strictfp似乎不会有任何开销。

在我当前的项目中，有几个地方我使用了strictfp。有一点，潜在的宇宙射线需要从像素值中去除。如果一些外部研究人员在他们面前有相同的像素值和宇宙射线，他们应该得到与我们的软件相同的结果值。

Strictfp确保在每个平台上从浮点计算中得到完全相同的结果。如果不使用strictfp, JVM实现可以在可用的地方使用额外的精度。

来自JLS:

Within an FP-strict expression, all intermediate values must be elements of the float value set or the double value set, implying that the results of all FP-strict expressions must be those predicted by IEEE 754 arithmetic on operands represented using single and double formats. Within an expression that is not FP-strict, some leeway is granted for an implementation to use an extended exponent range to represent intermediate results; the net effect, roughly speaking, is that a calculation might produce "the correct answer" in situations where exclusive use of the float value set or double value set might result in overflow or underflow.

换句话说，就是要确保Write-Once-Run-Anywhere实际上意味着write - once - get - equal - wrong - results - everywhere。

使用strictfp，您的结果是可移植的，没有它，它们更可能是准确的。

我需要它的一次(也是唯一一次)是与IBM ZSeries进行协调。在会计和大型机之外;不。有一段时间了，但我相当确定大型机没有改变。

实际上，维基百科上有一篇关于strictfp的好文章，其中有一个指向Java规范中浮点类型、格式和值部分的链接。

字里行间的意思是，如果您没有指定strictfp，那么JVM和JIT编译器就有权按它们想要的方式计算您的浮点计算。为了提高速度，它们很可能将计算委托给您的处理器。在使用strictfp时，计算必须符合IEEE 754算术标准，这在实践中可能意味着JVM将执行计算。

那么为什么要使用strictfp呢?我能看到的一个场景是在分布式应用程序(或多人游戏)中，无论底层硬件或CPU是什么，所有浮点计算都需要是确定的。代价是什么?很可能是执行时间。

strictfp is a modifier which restricts floating point calculations as per IEEE 754. This can be used on whole class like "public strictfp class StrictFpModifierExample{}" or on method "public strictfp void example()".If it is used on class than all methods will follow IEEE 754 and if used on method then particular method will follow IEEE 754. Why it is used??::: As different platforms have different floating point hardware which calculates with more precision and greater range of values than the java specification requires which may produce diffrent output on diffrent plateforms.so it confirms the same output irrespective of diffrent plateforms strictfp also ensures to take advantage of the speed and precision of the extended precision floating-point operations. There is no disadvantage with this keyword we can use when we are doing floating point calculations My last point is --What is IEEE754 in short IEEE 754 defines standard method for both floating point calculations and storage of floating point values in either single (32-bit, used in Java floats) or double (64-bit, used in Java doubles) precision.It also defines norms for intermediate calculations and for extended precision formats.