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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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發(fā)表于 2025-3-21 18:20:32 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Approximate Arithmetic Circuit Architectures for FPGA-based Systems
影響因子2023Salim Ullah,Akash Kumar
視頻videohttp://file.papertrans.cn/161/160359/160359.mp4
發(fā)行地址Provides architectures of approximate arithmetic circuits optimized for FPGA-based systems.Describes a methodology for implementing application-specific approximate circuits.Introduces technique for c
圖書封面Titlebook: Approximate Arithmetic Circuit Architectures for FPGA-based Systems;  Salim Ullah,Akash Kumar Book 2023 The Editor(s) (if applicable) and T
影響因子.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 application-level analysis to evaluate the impact of approximations on the final output quality and performance metrics. As multiplication is one of the most commonly used and computationally expensive operations in various error-resilient applications such as digital signal and image processing and machine learning algorithms, this book particularly focuses on this 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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沙發(fā)
發(fā)表于 2025-3-21 22:21:53 | 只看該作者
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.
板凳
發(fā)表于 2025-3-22 02:35:58 | 只看該作者
地板
發(fā)表于 2025-3-22 08:35:24 | 只看該作者
Approximate Multipliers,-off between the multiplier’s overall resource utilization, critical path delay, and energy consumption. However, as discussed in Chap. ., the accuracy of the arithmetic operations can be traded off to implement resource-efficient and high-performance hardware accelerators for error-resilient applic
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發(fā)表于 2025-3-22 10:32:01 | 只看該作者
Designing Application-Specific Approximate Operators,-constrained embedded systems. However, most of the available approximate operators have an application-agnostic design methodology, and the efficacy of these operators can only be evaluated by employing them in the applications. Further, the various available libraries of approximate operators do n
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發(fā)表于 2025-3-22 13:53:21 | 只看該作者
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發(fā)表于 2025-3-22 19:10:56 | 只看該作者
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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發(fā)表于 2025-3-22 22:25:35 | 只看該作者
Erfolgs- und Kapitalbeteiligungplications. This chapter presents a summary of related state-of-the-art works focusing on the various layers of the computation stack. However, most of these works have focused on Application-specific Integrated Circuit (ASIC)-optimized accurate and approximate circuits. To this end, this chapter mo
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發(fā)表于 2025-3-23 03:40:29 | 只看該作者
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.
10#
發(fā)表于 2025-3-23 08:53:47 | 只看該作者
Das moderne Industrieunternehmen vendors provide high-performance multipliers in the form of Digital Signal Processing (DSP) blocks. These multipliers are not only limited in number and have fixed locations on FPGAs but can also create additional routing delays and may prove inefficient for smaller bit-width multiplications. There
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