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Implementation of LNS addition and subtraction function with co-transformation in positive and negative region: A comparative analysis

机译:在正负区域实现LNS加减乘积共变换的实现

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The European Logarithmic Microprocessor (ELM) had been an outstanding breakthrough in logarithmic number system (LNS) research history. The processor successfully reaches the par ability of floating-point (FLP) processor with its rapid and accurate design towards FLP. The design was able to improve the LNS addition and subtraction procedure, which are the drawbacks of any implementation of LNS arithmetic. ELM's subtraction operation had adopted a unique approach, which is the first-order co-transformation to overcome the singularity-to-zero issue of the non-linear function in negative region. Therefore, this research had been introduced to extensively compare and analyze the ELM-based addition and subtraction procedures with the same co-transformation technique implemented in positive region. In achieving this, two aspects are considered, which are the accuracy towards FLP and the memory consumption of both procedures in both regions. Conclusively, the exact ELM-based implementation in positive region of both operations could be realized and achieved comparable accuracy and memory area with a slight modification of the operation procedure. The outcome of this analysis could benefit further investigation of optimizing the LNS design for hardware implementation.
机译:欧洲对数微处理器(ELM)在对数系统(LNS)的研究历史上是一个杰出的突破。该处理器以针对FLP的快速,准确的设计成功达到了浮点(FLP)处理器的同等能力。该设计能够改进LNS加法和减法程序,这是任何LNS算法实现的缺点。 ELM的减法运算采用了一种独特的方法,它是一阶共变换,可以克服负区域中非线性函数的奇异到零问题。因此,引入了本研究以使用在阳性区域中实施的相同的共转化技术,广泛地比较和分析基于ELM的加法和减法程序。在实现这一点时,要考虑两个方面,即对FLP的准确性和两个区域中两个过程的内存消耗。结论是,在稍加修改操作步骤的情况下,就可以在两个操作的正区域中实现基于ELM的精确实现,并获得可比较的精度和存储区域。该分析的结果可能有助于进一步研究优化LNS设计以实现硬件。

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