Faithful powering computation using table look-up and a fused accumulation tree

A method for the calculation of faithfully rounded single-precision floating-point powering (X^p) is proposed in this paper. This method employs table look-up and a second-degree minimax approximation, which allows the employment of reduced size tables to store the coefficients from the polynomial approximation. A specialized squaring unit and a fused accumulation tree carry out with the computation of the quadratic polynomial. Both unfolded and pipelined architectures are presented, and the results of a pre-layout synthesis performed using CMOS 0.35 μm technology are shown, achieving a 50% area reduction from linear approximation methods, and with improved speed over other second-degree approximation based algorithms. The pipelined architecture has a latency of three cycles and a throughput of one result per cycle