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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.
Rather than presenting a reverse list of words in endless sequence and strictly alphabetical order, this Reverse English Dictionary considers the structure and formation of words, grouping them together in sections and subdivisions. This way of looking at words from behind and comparing similar word endings reveals new and unaccustomed aspects of the structure of words and their formation, illustrating the enormous variety of the English language.