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Parallel online exact sum for Java8

机译:Java8的并行在线精确总和

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Java8 introduced the notion of streams that is a new data structure and supports multi-core processors. When the sum method is called for a stream of floating-point numbers, the summation is calculated at high-speed by applying MapReduce, which distributes computations to cores. However, since floating-point calculation causes an error, simple adaptation of this method can not determine the result uniquely. Then, in this study, we develop a summation program that can be applied to a stream with MapReduce. Our method can calculate at high-speed with keeping correctly rounded.
机译:Java8引入了流的概念,它是一种新的数据结构,并支持多核处理器。当对浮点数流调用sum方法时,通过应用MapReduce可以高速计算总和,MapReduce将计算分配到核心。但是,由于浮点计算会导致错误,因此此方法的简单修改无法唯一地确定结果。然后,在本研究中,我们开发了一个可用于MapReduce的流的求和程序。我们的方法可以在保持正确舍入的情况下高速计算。

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