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- W2330432918 abstract "A challenging verification and optimization problem in computer arithmetic and embedded systems is error analysis (EA) of fixed-point polynomial data-flow graphs (DFGs). This brief presents an EA framework to compute the error measure maximum mismatch of feedforward fixed-point polynomial DFGs. Our idea to reduce the overestimation keeping efficiency is introducing a unified analytical framework for the two most popular self-validated numerical methods, i.e., interval arithmetic (IA) and affine-arithmetic (AA), so that correlated arguments appear in suitable positions in the DFG. The results show that our methods can enhance error accuracy, in average, more than 24% in comparison with the state-of-the-art techniques while keeping the efficiency of IA and AA." @default.
- W2330432918 created "2016-06-24" @default.
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- W2330432918 date "2016-10-01" @default.
- W2330432918 modified "2023-09-24" @default.
- W2330432918 title "UAFEA: Unified Analytical Framework for IA/AA-Based Error Analysis of Fixed-Point Polynomial Specifications" @default.
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- W2330432918 doi "https://doi.org/10.1109/tcsii.2016.2539078" @default.
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