Titlebook: Approximate Arithmetic Circuit Architectures for FPGA-based Systems; Salim Ullah,Akash Kumar Book 2023 The Editor(s) (if applicable) and T

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Preliminaries, LUT structure, the various multiplication algorithms, statistical error metrics, and efficient design space exploration techniques. These preliminaries are provided for a better understanding of the various architectures and frameworks presented in the other chapters of this book.

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Conclusions and Future Work,ng paradigm for error-resilient applications. The various contributions of the book are open-source and available at . to facilitate reproducible results and help the research community in further exploration of approximate hardware accelerators.

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ion-specific approximate circuits.Introduces technique for c.This book presents various novel architectures for FPGA-optimized accurate and approximate operators, their detailed accuracy and performance analysis, various techniques to model the behavior of approximate operators, and thorough applica

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Das moderne Industrieunternehmenations. Towards this end, this chapter presents various designs of FPGA-optimized approximate unsigned/signed approximate multipliers. Compared to the state-of-the-art approximate multipliers, the proposed designs provide a better accuracy-performance trade-off.

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Book 2023s operation. The book starts by elaborating on the various sources of error resilience and opportunities available for approximations on various layers of the computation stack. It then provides a detailed description of the state-of-the-art approximate computing-related works and highlights their limitations..

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Accurate Multipliers,of resource-optimized and high-performance accurate unsigned/signed and constant multipliers for FPGA-based systems. Compared to the multiplier IPs provided by the FPGA synthesis tool, our designs offer better resource utilization, lower critical path delay, and better energy efficiency.