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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Optometrist

Werner Dinkelbach,Otto Rosenbergors by utilizing reduced precision data structures and resource-optimized high-performance arithmetic operators. Most of the related state-of-the-art research has mainly focused on utilizing approximate computing principles individually on different layers of the computing stack. However, an error-r

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結(jié)合

https://doi.org/10.1007/978-3-031-21294-9Approximate Computing; Approximate Circuits; Reconfigurable Computing; FPGAs; Design Space Exploration

Entropion

978-3-031-21296-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Salim Ullah,Akash KumarProvides architectures of approximate arithmetic circuits optimized for FPGA-based systems.Describes a methodology for implementing application-specific approximate circuits.Introduces technique for c

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膽小懦夫

Fremdkapitalbeteiligung der Mitarbeiter, 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.

開(kāi)玩笑

Werner Dinkelbach,Otto Rosenbergng 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.