Instruction Selection: Principles, Methods, and Applications

Description:

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Authors: 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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eBook Details:
Category: Algorithms
Author: Gabriel Hjort Blindell
Press: Springer
Language: English
ISBN10: 3319340174
ISBN13: 9783319340173
Pages: 171
PubDate: 2016-07-01 00:00:00
UploadDate: 6/7/2016 9:15:17 pm

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