Programmable Architectures and Design Methods for Two-Variable Numeric Function Generators
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概要
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This paper proposes programmable architectures and design methods for numeric function generators (NFGs) of two-variable functions. To realize a two-variable function in hardware, we partition a given domain of the function into segments, and approximate the function by a polynomial in each segment. This paper introduces two planar segmentation algorithms that efficiently partition a domain of a two-variable function. This paper also introduces a design method for symmetric two-variable functions (i.e. f(X, Y)=f(Y, X)). This method can reduce the memory size needed for symmetric functions by nearly half with small speed penalty. The proposed architectures allow a systematic design of various two-variable functions. We compare our approach with one based on a one-variable NFG. FPGA implementation results show that, for a complicated function, our NFG achieves 57% of memory size and 60% of delay time of a circuit designed based on a one-variable NFG.
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著者
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Sasao Tsutomu
Kyushu Inst. Of Technol. Iizuka‐shi Jpn
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T. Butler
Naval Postgraduate School
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Nagayama Shinobu
Hiroshima City University
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- Programmable Architectures and Design Methods for Two-Variable Numeric Function Generators
- Programmable Architectures and Design Methods for Two-Variable Numeric Function Generators
- Programmable Architectures and Design Methods for Two-Variable Numeric Function Generators