Fast hardware-based algorithms for elementary function computations using rectangular multipliers

Abstract

As the name suggests, elementary functions play a vital role in scientific computations. Yet due to their inherent nature, they are a considerable computing task by themselves. Not surprisingly, since the dawn of computing, the goal of speeding up elementary function computation has been pursued. This paper describes new hardware based algorithms for the computation of the common elementary functions, namely division, logarithm, reciprocal square root, are tangent, sine and cosine. These algorithms exploit microscopic parallelism using specialized hardware with heavy use of truncation based on detailed accuracy analysis. The contribution of this work lies in the fact that these algorithms are very fast and yet are accurate. If we let the time to perform an IEEE Standard 754 double precision floating point multiplication be τ×, our algorithms to achieve roughly 3.68τ×, 4.56τ×, 3.69τ×, 7.06τ× and 6.5τ× for division logarithm, square root, exponential, arc tangent and complex exponential (sine and cosine)respectively.