.png){kind=icon}
.png){kind=icon}
Return
Efficient fuzzy compiler for SIMD architectures
.png){kind=icon}
OA
AI
DOI：10.1016/j.asoc.2004.03.007.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This paper presents a real-time full-programmable fuzzy compiler based on piecewise linear interpolation techniques designed to be executed in single instruction multiple data (SIMD) architectures. A full-programmable fuzzy processor is defined as a system where the set of rules, the membership functions, the t-norm, the t-conorm, the aggregation operator, the propagation operator, and the defuzzyfication algorithm can be defined by any valid algorithm. The SIMD platforms selected are the Intel Pentium III ( using the SSE set of instructions) and the Texas Instruments TI DSP C6x family. The final speed obtained in both implementations is highly satisfactory and better than the speed provided by standard specific hardware. (C) 2004 Elsevier B.V. All rights reserved.
Keywords:
fuzzy compiler
single instruction multiple data
linear interpolation techniques
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
6.6
Papers:
1.4W
Citations:
4.8W
Organization
No organization information available