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Brightening the Optical Flow through Posit Arithmetic

机译:通过微量算术使光流明亮

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As new technologies are invented, their commercial viability needs to be carefully examined along with their technical merits and demerits. The ${posit}^{TM}$ data format, proposed as a drop-in replacement for IEEE $754 ^{TM}$ float format, is one such invention that requires extensive theoretical and experimental study to identify products that can benefit from the advantages of posits for specific market segments. In this paper, we present an extensive empirical study of posit-based arithmetic vis-à-vis IEEE 754 compliant arithmetic for the optical flow estimation method called Lucas-Kanade (LuKa). First, we use SoftPosit and SoftFloat format emulators to perform an empirical error analysis of the LuKa method. Our study shows that the average error in LuKa with SoftPosit is an order of magnitude lower than LuKa with SoftFloat. We then present the integration of the hardware implementation of a posit adder and multiplier in a RISC-V open-source platform. We make several recommendations, along with the analysis of LuKa in the RISC-V context, for future generation platforms incorporating posit arithmetic units.
机译:随着新技术的发明,需要仔细检查其商业可行性以及其技术优点和缺点。 $ {diot} ^ {tm} $数据格式提出作为IEEE $ 754 ^ {$ float格式的替代品,是一种提出的发明,需要广泛的理论和实验研究,以识别可以从中受益的产品针对特定市场细分的位置的优势。在本文中,我们展示了对诸如名为Lucas-Kanade(Luka)的光流估计方法的低基础算术Vis-is-Vis IEEE 754的实证研究。首先,我们使用SoftPosit和SoftFloat格式仿真器来执行Luka方法的实证误差分析。我们的研究表明,Luka的平均误差具有SoftPosit的级数低于Luka的数量级。然后,我们在RISC-V开源平台中展示了一个分发加法器和乘法器的硬件实现的集成。我们提出了若干建议,以及RISC-V背景下的Luka的分析,对于包含分发单元的未来一代平台。

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