论文标题
大约携带估计同时加法的纠正
An Approximate Carry Estimating Simultaneous Adder with Rectification
论文作者
论文摘要
近年来，近似计算发现了算术操作的降低功率，面积和时间要求的重要应用。近年来所做的几项工作进一步沿着这些方向进行了近似计算。在这项工作中，我们提出了一种采用携带预测方法的新近似加法器。这允许并行传播携带，从而更快地计算。除了基本的加法设计之外，我们还提出了一种纠正逻辑，该逻辑将使更高的计算能够更高的精度。实验结果表明，我们的加法器的结果比常规的涟漪加法器快91.2％。在准确性方面，在基本设计中添加整流逻辑会产生比Sara和BCSA（例如Sara和BCSA）更准确的结果。
Approximate computing has in recent times found significant applications towards lowering power, area, and time requirements for arithmetic operations. Several works done in recent years have furthered approximate computing along these directions. In this work, we propose a new approximate adder that employs a carry prediction method. This allows parallel propagation of the carry allowing faster calculations. In addition to the basic adder design, we also propose a rectification logic which would enable higher accuracy for larger computations. Experimental results show that our adder produces results 91.2% faster than the conventional ripple-carry adder. In terms of accuracy, the addition of rectification logic to the basic design produces results that are more accurate than state-of-the-art adders like SARA and BCSA by 74%.
