Instruction Selection: Principles, Methods, And Applications


Instruction Selection: Principles, Methods, And Applications
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This book presents a comprehensive, structured, up-to-date survey on instruction selection. The survey is structured according to two dimensions: approaches to instruction selection from the past 45 years are organized and discussed according to their fundamental principles, and according to the characteristics of the supported machine instructions. The fundamental principles are macro expansion, tree covering, DAG covering, and graph covering. The machine instruction characteristics introduced are single-output, multi-output, disjoint-output, inter-block, and interdependent machine instructions. The survey also examines problems that have yet to be addressed by existing approaches. The book is suitable for advanced undergraduate students in computer science, graduate students, practitioners, and researchersAuthors: Hjort Blindell, Gabriel First comprehensive treatment of this topic since the 1980s Guides reader towards the extensive research literature Presents an elegant new taxonomy, and points to open problems This book presents a comprehensive, structured, up-to-date survey on instruction selection. The survey is structured according to two dimensions: approaches to instruction selection from the past 45 years are organized and discussed according to their fundamental principles, and according to the characteristics of the supported machine instructions. The fundamental principles are macro expansion, tree covering, DAG covering, and graph covering. The machine instruction characteristics introduced are single-output, multi-output, disjoint-output, inter-block, and interdependent machine instructions. The survey also examines problems that have yet to be addressed by existing approaches. The book is suitable for advanced undergraduate students in computer science, graduate students, practitioners, and researchers. Number of Illustrations and Tables 44 b/w illustrations Topics Software Engineering / Programming and Operating Systems Artificial Intelligence (incl. Robotics) Algorithm Analysis and Problem Complexity Data Structures, Cryptology and Information Theory

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