Instruction Selection: Principles, Methods, and Applications

Author:   Gabriel Hjort Blindell
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2016
ISBN:  

9783319816586


Pages:   177
Publication Date:   30 May 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Instruction Selection: Principles, Methods, and Applications


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Overview

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.

Full Product Details

Author:   Gabriel Hjort Blindell
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2016
Dimensions:   Width: 15.50cm , Height: 1.10cm , Length: 23.50cm
Weight:   3.051kg
ISBN:  

9783319816586


ISBN 10:   3319816586
Pages:   177
Publication Date:   30 May 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Gabriel Hjort Blindell's research focuses on advanced computer architecture, compiler construction, parallel systems, combinatorial optimization, algorithms, data structures, and complexity. Since June 2012 he has participated in a research project on constraint-based compilation, in particular he is investigating how constraint programming can be used to drive and optimize the instruction selection phase.

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