Overview
- Offers a comprehensive overview on designing and implementing FPGA EDA tools
- Bridges the gap between industrial and academic world
- Presents the idea of the game-changing unified open-sourced FPGA EDA framework
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
This book focuses on FPGA EDA tools, the very foundation of FPGA technology. Instead of illustrating how to use them, this book dives into the tools themselves, revealing how these tools are being designed and how they may improve. Unlike other semiconductors, FPGA has a distinctive two-stage EDA system: chip design EDA and application design EDA.State-of-the-art algorithms, data models and design methodologies/standards are the main concerns of this book, and these will be very helpful for FPGA EDA engineers and researchers to obtain a bird’s eye view of this complicated knowledge system. In the chip design EDA part, full-custom and semicustom methodologies bring up ASIC-like EDA tools, and in the application design EDA side, typical topics including high-level synthesis, logic synthesis, physical implementation, bitstream configuration, etc., are well discussed.
Similar content being viewed by others
Table of contents (12 chapters)
-
Front Matter
-
Introduction
-
Front Matter
-
-
FPGA Data Modeling
-
Front Matter
-
-
FPGA Metric Analysis
-
Front Matter
-
-
FPGA Chip Design EDA
-
Front Matter
-
-
FPGA Application Design EDA
-
Front Matter
-
-
Summary and Outlook
-
Front Matter
-
Authors and Affiliations
About the authors
Kaihui Tu, MSc in Communications, University of York, York, UK. PhD in Microelectronics and Solid State Electronics, University of Chinese Academy of Sciences, Beijing, China. Tu has participated in numbers of Chinese national research projects, including China’s first 10K logic cell FPGA project, first embedded FPGA IP project and first TSV-based 3D FPGA project. With over ten years’ working experience in Chinese Academy of Sciences, Tu was responsible for architecting the eFPGA IP EDA tools that had won the “Made in China research IP Prize” at IP SoC China 2019.
Xifan Tang, PhD in Computer Science, graduated from École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. CTO and cofounder of Rapid-Flex. Tang is also the maintainer of OpenFPGA project.
Cunxi Yu, PhD in Computer Engineering, graduated from University of Massachusetts Amherst, Massachusetts, USA. Currently works as Assistant Professor at University of Maryland, College Park. Dr. Yu was Assistant Professor at University of Utah, and held PostDoc positions at Cornell and EPFL.
Yu’s major academic honor includes: ACM/IEEE Design Automation Conference (DAC 2023) Best Paper Award • American Physics Society LPR Poster Honorable Mention (2022) • NSF CAREER Award (2021) • 2017 ASP-DAC Best Paper Nomination • ACM Doctoral Dissertation Award Nomination (by UMass Amherst) • DAC 2017 Security Contest - 1st Place.
Lana Josipovic currently works as Assistant Professor at ETH Zurich. She got her PhD in Computer and Communication Sciences graduated in 2021 from École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. Dr. Josipovic’s major academic honor includes Best Paper Award Nominee at the 30th Intl. Symposium on Field-Programmable Custom Computing Machines (2022), Fritz Kutter Award for best Swiss industry-related PhD thesis in Computer Science, awarded by ETH Zurich (2021) , and Best Paper Award at the 28th Intl. Symposium on Field Programmable Gate Array (2020).
Zhufei Chu currently works as Professor at Ningbo University, China, and held PostDoc position at École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. He is also the maintainer of open source logic synthesis project ALSO.
Xifan Tang, PhD in Computer Science, graduated from École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. CTO and cofounder of Rapid-Flex. Tang is also the maintainer of OpenFPGA project.
Cunxi Yu, PhD in Computer Engineering, graduated from University of Massachusetts Amherst, Massachusetts, USA. Currently works as Assistant Professor at University of Maryland, College Park. Dr. Yu was Assistant Professor at University of Utah, and held PostDoc positions at Cornell and EPFL.
Yu’s major academic honor includes: ACM/IEEE Design Automation Conference (DAC 2023) Best Paper Award • American Physics Society LPR Poster Honorable Mention (2022) • NSF CAREER Award (2021) • 2017 ASP-DAC Best Paper Nomination • ACM Doctoral Dissertation Award Nomination (by UMass Amherst) • DAC 2017 Security Contest - 1st Place.
Lana Josipovic currently works as Assistant Professor at ETH Zurich. She got her PhD in Computer and Communication Sciences graduated in 2021 from École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. Dr. Josipovic’s major academic honor includes Best Paper Award Nominee at the 30th Intl. Symposium on Field-Programmable Custom Computing Machines (2022), Fritz Kutter Award for best Swiss industry-related PhD thesis in Computer Science, awarded by ETH Zurich (2021) , and Best Paper Award at the 28th Intl. Symposium on Field Programmable Gate Array (2020).
Zhufei Chu currently works as Professor at Ningbo University, China, and held PostDoc position at École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. He is also the maintainer of open source logic synthesis project ALSO.
Accessibility Information
PDF accessibility summary
This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.
EPUB accessibility summary
This ebook is designed with accessibility in mind, aiming to meet the ePub Accessibility 1.0 AA and WCAG 2.0 Level AA standards. Its features include described images and other non-text content, screenreader-friendly navigation and accessible math. Math is represented either as MathML, LaTeX or in images. If math is represented as image, Alt Text might not be present. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.
Bibliographic Information
Book Title: FPGA EDA
Book Subtitle: Design Principles and Implementation
Authors: Kaihui Tu, Xifan Tang, Cunxi Yu, Lana Josipović, Zhufei Chu
DOI: https://doi.org/10.1007/978-981-99-7755-0
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024
Softcover ISBN: 978-981-99-7754-3Published: 01 February 2024
eBook ISBN: 978-981-99-7755-0Published: 31 January 2024
Edition Number: 1
Number of Pages: XIII, 227
Number of Illustrations: 11 b/w illustrations, 140 illustrations in colour
Topics: Computer-Aided Engineering (CAD, CAE) and Design, Programming Languages, Compilers, Interpreters, Open Source, Theory of Computation, Register-Transfer-Level Implementation, Register-Transfer-Level Implementation