Skip to main content

FPGA-BASED Hardware Accelerators

  • Book
  • © 2019

Overview

  • The book describes design and implementations of FPGA (Field-Programmable Gate Arrays)/PSoC (Programmable Systems-on-Chip) hardware accelerators
  • Focus is on hardware accelerators for data/information processing and combinatorial optimization
  • The presented material will be supported by numerous practical examples with demonstration of the results using recent prototyping systems from Xilinx

Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 566)

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 139.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (6 chapters)

Keywords

About this book

This book suggests and describes a number of fast parallel circuits for data/vector processing using FPGA-based hardware accelerators. Three primary areas are covered: searching, sorting, and counting in combinational and iterative networks. These include the application of traditional structures that rely on comparators/swappers as well as alternative networks with a variety of core elements such as adders, logical gates, and look-up tables. The iterative technique discussed in the book enables the sequential reuse of relatively large combinational blocks that execute many parallel operations with small propagation delays. For each type of network discussed, the main focus is on the step-by-step development of the architectures proposed from initial concepts to synthesizable hardware description language specifications. Each type of network is taken through several stages, including modeling the desired functionality in software, the retrieval and automatic conversion of key functions, leading to specifications for optimized hardware modules. The resulting specifications are then synthesized, implemented, and tested in FPGAs using commercial design environments and prototyping boards. The methods proposed can be used in a range of data processing applications, including traditional sorting, the extraction of maximum and minimum subsets from large data sets, communication-time data processing, finding frequently occurring items in a set, and Hamming weight/distance counters/comparators. The book is intended to be a valuable support material for university and industrial engineering courses that involve FPGA-based circuit and system design.

Authors and Affiliations

  • Department of Electronics Telecommunications and Informatics, University of Aveiro, Aveiro, Portugal

    Iouliia Skliarova, Valery Sklyarov

Bibliographic Information

  • Book Title: FPGA-BASED Hardware Accelerators

  • Authors: Iouliia Skliarova, Valery Sklyarov

  • Series Title: Lecture Notes in Electrical Engineering

  • DOI: https://doi.org/10.1007/978-3-030-20721-2

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Nature Switzerland AG 2019

  • Hardcover ISBN: 978-3-030-20720-5Published: 31 May 2019

  • Softcover ISBN: 978-3-030-20723-6Published: 14 August 2020

  • eBook ISBN: 978-3-030-20721-2Published: 30 May 2019

  • Series ISSN: 1876-1100

  • Series E-ISSN: 1876-1119

  • Edition Number: 1

  • Number of Pages: XVI, 245

  • Topics: Circuits and Systems, Computational Intelligence

Publish with us