CAD Tools for Hardware Implementation of Embedded Fuzzy Systems on FPGAs

Brox, Maria; Sánchez-Solano, Santiago; Toro, E. del; Brox, Piedad; Moreno-Velo, F.J.

doi:10.1109/tii.2012.2228871

Cited by 28 publications

(13 citation statements)

References 30 publications

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“…However, some tools have reached a certain maturity and thus dedicate less attention to validation when the tool used offers higher guarantees. This includes papers such as [13] User study 1%…”

Section: Application Scalementioning

confidence: 99%

Systematic mapping study of template-based code generation

Syriani

Luhunu

Sahraoui

2018

Computer Languages, Systems & Structures

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Template-based code generation (TBCG) is a synthesis technique that produces code from high-level specifications, called templates. TBCG is a popular technique in model-driven engineering (MDE) given that they both emphasize abstraction and automation. Given the diversity of tools and approaches, it is necessary to classify existing TBCG techniques to better guide developers in their choices. The goal of this article is to better understand the characteristics of TBCG techniques and associated tools, identify research trends, and assess the importance of the role of MDE in this code synthesis approach. We conducted a systematic mapping study of the literature to paint an interesting picture about the trends and uses of TBCG. Our study shows that the community has been diversely using TBCG over the past 15 years. TBCG has greatly benefited from MDE. It has favored a template style that is output-based and high level modeling languages as input. TBCG is mainly used to generate source code and has been applied in a variety of domains. Furthermore, both MDE and non-MDE tools are becoming effective development resources in industry.

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Section: Application Scalementioning

confidence: 99%

Systematic mapping study of template-based code generation

Syriani

Luhunu

Sahraoui

2018

Computer Languages, Systems & Structures

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“…Actually, the use of CAD tools supporting complex hardware design systems is not new in hardware/software codesign [15,16] and software applications. It supports the design and configuration of custom hardware implementations [17][18][19].…”

Section: Scumo Software Design Toolmentioning

confidence: 99%

AnScalable Matrix Computing Unit Architecture for FPGA, and SCUMO User Design Interface

et al. 2019

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High dimensional matrix algebra is essential in numerous signal processing and machine learning algorithms. This work describes a scalable square matrix-computing unit designed on the basis of circulant matrices. It optimizes data flow for the computation of any sequence of matrix operations removing the need for data movement for intermediate results, together with the individual matrix operations' performance in direct or transposed form (the transpose matrix operation only requires a data addressing modification). The allowed matrix operations are: matrix-by-matrix addition, subtraction, dot product and multiplication, matrix-by-vector multiplication, and matrix by scalar multiplication. The proposed architecture is fully scalable with the maximum matrix dimension limited by the available resources. In addition, a design environment is also developed, permitting assistance, through a friendly interface, from the customization of the hardware computing unit to the generation of the final synthesizable IP core. For N × N matrices, the architecture requires N ALU-RAM blocks and performs O(N 2 ), requiring N 2 + 7 and N + 7 clock cycles for matrix-matrix and matrix-vector operations, respectively. For the tested Virtex7 FPGA device, the computation for 500 × 500 matrices allows a maximum clock frequency of 346 MHz, achieving an overall performance of 173 GOPS. This architecture shows higher performance than other state-of-the-art matrix computing units.

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“…13.2, thus making this architecture highly configurable Brox et al 2013). 13.2, thus making this architecture highly configurable Brox et al 2013).…”

Section: Active-rule Based Architecture For Fuzzy Systemsmentioning

confidence: 99%

Fuzzy Modeling and Control: Theory and Applications

Mata¹,

Marichal²,

Jimnez³

2014

Atlantis Computational Intelligence Systems

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Aims and scope of the seriesThe series 'Atlantis Computational Intelligence Systems' aims at covering state-of-the-art research and development in all fields where computational intelligence is investigated and applied. The series seeks to publish monographs and edited volumes on foundations and new developments in the field of computational intelligence, including fundamental and applied research as well as work describing new, emerging technologies originating from computational intelligence research. Applied CI research may range from CI applications in the industry to research projects in the life sciences, including research in biology, physics, chemistry and the neurosciences.All books in this series are co-published with Springer.For more information on this series and our other book series, please visit our website at: www.atlantis-press.com/publications/books. This book is published under the Creative Commons Attribution-Non-commercial license, meaning that copying, distribution, transmitting and adapting the book is permitted, provided that this is done for non-commercial purposes and that the book is attributed. This book, or any parts thereof, may not be reproduced for commercial purposes in any form or by any means, electronic or mechanical, including photocopying, recording or any information storage and retrieval system known or to be invented, without prior permission from the Publisher.Printed on acid-free paper ForewordAlmost half a century has passed since the publication of the seminal paper by Prof. Lotfi A. Zadeh. Fifty years that have witnessed an impressive growth of fuzzy systems from both the theoretical and applied points of view. Impressive growth and at the same time following an unforeseen way, since as Prof. Zadeh has said many times, his expectations when writing his first paper on fuzzy sets in 1965 were that fuzzy sets would find its main applications in the realm of humanistic systems (economics, linguistics, psychology, etc.). Now the reality is that most of the success of fuzzy systems research (at least in its initial decades) was related to its application to mechanistic instead of humanistic systems. This book concentrates on modeling and control of mechanistic systems, as can be seen when reading the Table of Contents, first considering important theoretical aspects and then showing its application to quite interesting real-world problems.Any book on fuzzy modeling and control is somehow a tribute to those who paved the way for the topic. In this case, we need to consider three key persons and three related milestones in the history of fuzzy sets. First, the already mentioned Prof. Zadeh and his 1973 paper ''Outline of a New Approach to the Analysis of Complex Systems and Decision Processes,'' IEEE Transactions on Systems, Man, and Cybernetics 3: 28-44 (1973), the paper where concepts as linguistic variable and fuzzy if-then rules took form, and at the same time, the paper that triggered the second hint in the road to build up the theory of fuzzy modeling and control. Ab...

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CAD Tools for Hardware Implementation of Embedded Fuzzy Systems on FPGAs

Cited by 28 publications

References 30 publications

Systematic mapping study of template-based code generation

Systematic mapping study of template-based code generation

AnScalable Matrix Computing Unit Architecture for FPGA, and SCUMO User Design Interface

Fuzzy Modeling and Control: Theory and Applications

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