This book describes reliable and efficient design automation techniques for the design and implementation of an approximate computing system. The authors address the important facets of approximate computing hardware design - from formal verification and error guarantees to synthesis and test of approximation systems. They provide algorithms and methodologies based on classical formal verification, synthesis and test techniques for an approximate computing IC design flow. This is one of the first books in Approximate Computing that addresses the design automation aspects, aiming for not only sketching the possibility, but providing a comprehensive overview of different tasks and especially how they can be implemented.
This book describes reliable and efficient design automation techniques for the design and implementation of an approximate computing system. The authors address the important facets of approximate computing hardware design - from formal verification and error guarantees to synthesis and test of approximation systems. They provide algorithms and methodologies based on classical formal verification, synthesis and test techniques for an approximate computing IC design flow. This is one of the first books in Approximate Computing that addresses the design automation aspects, aiming for not only sketching the possibility, but providing a comprehensive overview of different tasks and especially how they can be implemented.
Arun Chandrasekharan
Approximate computing Design automation for approximate computing Formal verification for approximate computing Hardware architecture for approximate computing Test strategies for approximate computing
“This book introduces many good ideas about IC design flow for approximate design. It has a great potential to optimize the traditional electronic design automation (EDA) tools to be approximation-aware software in the future. … This book is suitable for researchers and engineers with experience and background in ASIC and FPGA design flow.” (Xiaokun Yang, Computing Reviews, April 12, 2019)
()