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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Hjort Blindell, Gabriel (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 02656nam a22004935i 4500
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024 7 |a 10.1007/978-3-319-34019-7  |2 doi 
040 |d GrThAP 
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100 1 |a Hjort Blindell, Gabriel.  |e author. 
245 1 0 |a Instruction Selection  |h [electronic resource] :  |b Principles, Methods, and Applications /  |c by Gabriel Hjort Blindell. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2016. 
300 |a XVIII, 177 p. 44 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
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 Computer science. 
650 0 |a Software engineering. 
650 0 |a Data structures (Computer science). 
650 0 |a Algorithms. 
650 0 |a Artificial intelligence. 
650 1 4 |a Computer Science. 
650 2 4 |a Software Engineering/Programming and Operating Systems. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Algorithm Analysis and Problem Complexity. 
650 2 4 |a Data Structures, Cryptology and Information Theory. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319340173 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-34019-7  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645)