Author: Salim Ullah
Publisher: Springer Nature
Published: 2023-02-27
Total Pages: 190
ISBN-13: 3031212940
DOWNLOAD EBOOKThis book presents various novel architectures for FPGA-optimized accurate and approximate operators, their detailed accuracy and performance analysis, various techniques to model the behavior of approximate operators, and thorough application-level analysis to evaluate the impact of approximations on the final output quality and performance metrics. As multiplication is one of the most commonly used and computationally expensive operations in various error-resilient applications such as digital signal and image processing and machine learning algorithms, this book particularly focuses on this operation. The book starts by elaborating on the various sources of error resilience and opportunities available for approximations on various layers of the computation stack. It then provides a detailed description of the state-of-the-art approximate computing-related works and highlights their limitations.
Book Synopsis Approximate Arithmetic Circuit Architectures for FPGA-based Systems by : Salim Ullah
Download or read book Approximate Arithmetic Circuit Architectures for FPGA-based Systems written by Salim Ullah and published by Springer Nature. This book was released on 2023-02-27 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents various novel architectures for FPGA-optimized accurate and approximate operators, their detailed accuracy and performance analysis, various techniques to model the behavior of approximate operators, and thorough application-level analysis to evaluate the impact of approximations on the final output quality and performance metrics. As multiplication is one of the most commonly used and computationally expensive operations in various error-resilient applications such as digital signal and image processing and machine learning algorithms, this book particularly focuses on this operation. The book starts by elaborating on the various sources of error resilience and opportunities available for approximations on various layers of the computation stack. It then provides a detailed description of the state-of-the-art approximate computing-related works and highlights their limitations.