This paper discusses low-error, high-speed evaluation of two elementary functions: square-root (which is required in IEEE-754 standard on computer arithmetic) and exponential (which is common in scientific calculations). The basis of the proposed implementations is piecewise-linear interpolation but with the constants chosen in a way that minimizes relative error. We show that by placing certain constraints on the errors at three points within each interpolation interval, relative errors are greatly reduced. The implementation-targets are large FPGAs that have in-built multipliers, adders, and distributed memory. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Bajger, M., & Omondi, A. R. (2006). Implementations of square-root and exponential functions for large FPGAs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4186 LNCS, pp. 6–23). Springer Verlag. https://doi.org/10.1007/11859802_3
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