Sinking Point: Dynamic Precision Tracking for Floating-Point

Proceedings of the Conference for Next Generation Arithmetic 2019(2019)

引用 1|浏览23
暂无评分
摘要
We present sinking-point, a floating-point-like number system that tracks precision dynamically though computations. With existing floating-point number systems, such as the venerable IEEE 754 standard, numerical results do not inherently contain any information about their precision or accuracy; to determine if a result is numerically accurate, a separate analysis must be performed. By contrast, sinking-point records the precision of each intermediate value and result computed, so highly imprecise results can be identified immediately. Compared to IEEE 754 floating-point, sinking-point's representation requires only a few additional bits of storage, and computations require only a few additional bitwise operations. Sinking-point is fully generalizable, and can be extended to provide dynamic error tracking for nearly any digital number system, including posits.
更多
查看译文
关键词
Floating point, numerical analysis
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要