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New Non-Uniform Segmentation Technique for Software Function Evaluation

Abstract : Embedded applications use more and more sophisticated computatious. These computations can integrate composition of elementary functions and can easily be approximated by polynomials. Indeed, polynomial approximation methods allow to find a trade-off between accuracy and computation time. Software implementation of polynomial approximation in fixed-point processors is considered in this paper. To obtain a moderate approximation error, segmentation of the interval I on which the function is computed is necessary. This paper proposes a new method to compute the values of a function on I using non-uniform segmentation and polynomial approximation. Non-uniform segmentation allows one to minimize the number of segments created and is modeled by a tree-structure. The specifications of the segmentation set the balance between memory space requirement and computation time. Besides, compared to table-based methods or the CORDIC algorithm, our approach significantly reduces, the memory size and the function evaluation time respectively.
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Contributor : Laurent Jonchère <>
Submitted on : Tuesday, February 28, 2017 - 4:33:38 PM
Last modification on : Wednesday, October 14, 2020 - 3:41:21 AM


  • HAL Id : hal-01479171, version 1


Justine Bonnot, Erwan Nogues, Daniel Menard. New Non-Uniform Segmentation Technique for Software Function Evaluation. 27th IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP), Jul 2016, London, United Kingdom. pp.131--138. ⟨hal-01479171⟩



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