Cross-Layer Approximation and In-Network Acceleration: Enabling the Next Generation of Sustainable and High-Performance Reconfigurable Systems
暫譯: 跨層近似與網路內加速：啟用下一代可持續與高效能可重構系統

Ebrahimi, Zahra, Kumar, Akash

Cross-Layer Approximation and In-Network Acceleration: Enabling the Next Generation of Sustainable and High-Performance Reconfigurable Systems
  • 出版商: Springer
  • 出版日期: 2026-07-07
  • 售價: $4,920
  • 貴賓價: 9.5 折 $4,674
  • 語言: 英文
  • 頁數: 218
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3032217113
  • ISBN-13: 9783032217110
  • 相關分類: Edge computing、FPGA

    • 海外代購書籍(需單獨結帳)

商品描述

This book presents a novel Cross-Layer Approximation and Distribution architecture and methodology that advances the design of high-performance, high-throughput, energy-efficient, and sustainable reconfigurable computing systems. By leveraging the error tolerance inherent in modern AI and signal processing workloads, it enables performance and energy gains across hardware and software layers. The authors introduce innovative approximate multipliers, dividers, and coarse-grained processing elements for FPGA and CGRA platforms, coupled with an error-resiliency analysis and a heuristic-driven optimization framework that dynamically balance performance and accuracy. Extending beyond conventional architectures, the methodology described also integrates novel In-Network Computing (INC) techniques to bring computation closer to data sources within 5G/6G infrastructures. The result is a cohesive, scalable approach that redefines how energy-efficient and adaptive computing can be achieved across the edge-to-cloud continuum.

  • Describes a unified perspective on how approximation techniques can be applied across multiple abstraction levels;
  • Discusses how FPGAs, CGRAs and In-Network Computing can enable scalable, distributed, and low-latency computation;
  • Introduces architectural designs such as approximate multipliers, dividers, and hybrid SIMD/MIMD processing elements.

商品描述(中文翻譯)

這本書提出了一種新穎的跨層近似與分配架構及方法論，推進了高效能、高吞吐量、節能且可持續的可重構計算系統的設計。透過利用現代人工智慧和信號處理工作負載中固有的容錯性，它實現了硬體和軟體層面上的性能和能量增益。作者介紹了創新的近似乘法器、除法器以及適用於FPGA和CGRA平台的粗粒度處理元件，並結合了錯誤韌性分析和基於啟發式的優化框架，動態平衡性能與準確性。這種方法論超越了傳統架構，還整合了新穎的網路內計算（In-Network Computing, INC）技術，將計算更接近於5G/6G基礎設施中的數據來源。其結果是一種連貫且可擴展的方法，重新定義了如何在邊緣到雲端的連續體中實現節能和自適應計算。

- 描述了如何在多個抽象層次上應用近似技術的統一視角；
- 討論了FPGA、CGRA和網路內計算如何實現可擴展、分散且低延遲的計算；
- 介紹了近似乘法器、除法器以及混合SIMD/MIMD處理元件等架構設計。

作者簡介

Zahra Ebrahimi received her B.Sc. and M.Sc. degrees in Computer Engineering from Sharif University of Technology (SUT), Iran, where she also worked as a Research Assistant at the Data Storage, Networks, and Processing Laboratory. She earned her Ph.D. in Computer Science from the Center for Advancing Electronics Dresden (cfaed), Technische Universität Dresden, Germany, in 2025. During her Ph.D., she was awarded two entrepreneurial research fellowships from German ministries for the X-DNet (Software Campus Program, collaborated with Huawei) and GREEN-DNN (Mission KI startup acceleration) projects. Zahra is currently a Postdoctoral Research Associate at Ruhr-Universität Bochum. Her research focuses on cross-layer approximation, reconfigurable accelerator design, and energy-efficient, high-performance architectures for the edge-to-cloud continuum.

Akash Kumar (SM'13) received the joint Ph.D. degree in electrical engineering and embedded systems from the Eindhoven University of Technology, Eindhoven, The Netherlands, and the National University of Singapore (NUS), Singapore, in 2009. From 2009 to 2015, he was with NUS. From October 2015 until March 2024, he was a Professor with Technische Universität Dresden, Dresden, Germany, where he was directing the Chair for Processor Design. Since April 2024, he is directing the chair of Embedded Systems at Ruhr University Bochum, Germany. His research interests include the design and analysis of low-power embedded multiprocessor systems, and designing secure systems with emerging nano-technologies.

作者簡介(中文翻譯)

Zahra Ebrahimi 於伊朗的沙里夫科技大學 (Sharif University of Technology, SUT) 獲得計算機工程的學士及碩士學位，並在數據存儲、網絡和處理實驗室擔任研究助理。她於2025年在德國德累斯頓工業大學 (Technische Universität Dresden) 的德累斯頓電子技術推進中心 (Center for Advancing Electronics Dresden, cfaed) 獲得計算機科學的博士學位。在攻讀博士學位期間，她因參與 X-DNet（軟體校園計畫，與華為合作）和 GREEN-DNN（任務 KI 創業加速）項目而獲得德國部門的兩項創業研究獎學金。Zahra 目前是魯爾大學波鴻 (Ruhr-Universität Bochum) 的博士後研究助理。她的研究重點是跨層近似、可重構加速器設計，以及針對邊緣到雲端連續體的能效高效能架構。

Akash Kumar (SM'13) 於2009年獲得荷蘭埃因霍溫科技大學 (Eindhoven University of Technology) 和新加坡國立大學 (National University of Singapore, NUS) 聯合授予的電機工程及嵌入式系統的博士學位。從2009年到2015年，他在新加坡國立大學工作。自2015年10月到2024年3月，他擔任德國德累斯頓工業大學的教授，並負責處理器設計的講座。自2024年4月起，他擔任德國魯爾大學波鴻的嵌入式系統講座主任。他的研究興趣包括低功耗嵌入式多處理器系統的設計與分析，以及利用新興納米技術設計安全系統。

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