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Quantifying and Exploring the Gap Between FPGAs and ASICs

  • Book
  • © 2010

Overview

Authors:
  1. Ian Kuon

    1. Dept. Electrical & Computer Engineering, University of Toronto, Toronto, Canada

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  2. Jonathan Rose

    1. Dept. Electrical & Computer Engineering, University of Toronto, Toronto, Canada

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    You can also search for this author in PubMed   Google Scholar

  • Provides readers with a better appreciation of the gap between FPGAs and ASICs and a deeper understanding of FPGA architecture
  • Corrects common misconceptions about the magnitude of the gap between FPGAs and ASICs and the benefits of FPGA features such as multipliers and memories
  • Conveys the broad range of trade-offs that are possible in the design of FPGAs. In particular, the significant impact of transistor sizing on a FPGA’s efficiency and performance will be highlighted
  • Addresses that lack of information regarding the ASIC or FPGA design choice

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Table of contents (7 chapters)

  1. Front Matter

    Pages 1-12
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  2. Introduction

    • Ian Kuon, Jonathan Rose
    Pages 1-4

  3. Background

    • Ian Kuon, Jonathan Rose
    Pages 5-26

  4. Measuring the Gap

    • Ian Kuon, Jonathan Rose
    Pages 27-62

  5. Automated Transistor Sizing for FPGAs

    • Ian Kuon, Jonathan Rose
    Pages 63-90

  6. Navigating the Gap Using Architecture and Process Technology Scaling

    • Ian Kuon, Jonathan Rose
    Pages 91-102

  7. Navigating the Gap using Transistor Sizing

    • Ian Kuon, Jonathan Rose
    Pages 103-125

  8. Conclusions and FutureWork

    • Ian Kuon, Jonathan Rose
    Pages 127-131

  9. Back Matter

    Pages 133-180
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Keywords

About this book

Field-programmable gate arrays (FPGAs), which are pre-fabricated, programmable digital integrated circuits (ICs), provide easy access to state-of-the-art integrated circuit process technology, and in doing so, democratize this technology of our time. This book is about comparing the qualities of FPGA – their speed performance, area and power consumption, against custom-fabricated ICs, and exploring ways of mitigating their de ciencies. This work began as a question that many have asked, and few had the resources to answer – how much worse is an FPGA compared to a custom-designed chip? As we dealt with that question, we found that it was far more dif cult to answer than we anticipated, but that the results were rich basic insights on fundamental understandings of FPGA architecture. It also encouraged us to nd ways to leverage those insights to seek ways to make FPGA technology better, which is what the second half of the book is about. While the question “How much worse is an FPGA than an ASIC?” has been a constant sub-theme of all research on FPGAs, it was posed most directly, some time around May 2004, by Professor Abbas El Gamal from Stanford University to us – he was working on a 3D FPGA, and was wondering if any real measurements had been made in this kind of comparison. Shortly thereafter we took it up and tried to answer in a serious way.

Authors and Affiliations

  • Dept. Electrical & Computer Engineering, University of Toronto, Toronto, Canada

    Ian Kuon, Jonathan Rose

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