Instruction Selection Principles, Methods, and Applications /

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 cha...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Hjort Blindell, Gabriel (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Temas:
Software engineering.
Artificial intelligence.
Algorithms.
Data structures (Computer science).
Information theory.
Software Engineering.
Artificial Intelligence.
Data Structures and Information Theory.
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Instruction Selection  |h [electronic resource] :  |b Principles, Methods, and Applications /  |c by Gabriel Hjort Blindell. 
250 |a 1st ed. 2016. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2016. 
300 |a XVIII, 177 p. 44 illus.  |b online resource. 
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505 0 |a Introduction -- Macro Expansion -- Tree Covering -- DAG Covering -- Graph Covering -- Conclusions. 
520 |a 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. 
650 0 |a Software engineering. 
650 0 |a Artificial intelligence. 
650 0 |a Algorithms. 
650 0 |a Data structures (Computer science). 
650 0 |a Information theory. 
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650 2 4 |a Artificial Intelligence. 
650 2 4 |a Algorithms. 
650 2 4 |a Data Structures and Information Theory. 
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