Parallel online exact sum for Java8

Naoshi Sakamoto
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Abstract

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.
Java8的并行在线精确求和
Java8引入了流的概念,这是一种新的数据结构,支持多核处理器。当对浮点数流调用sum方法时,通过应用MapReduce以高速计算求和,MapReduce将计算分配给核心。但是,由于浮点计算会产生误差,因此对该方法进行简单的调整并不能唯一地确定结果。然后,在本研究中,我们开发了一个可以应用于MapReduce流的求和程序。该方法可以在保持正确舍入的情况下进行高速计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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