Engineering a Compiler

Cooper, Keith D.; Torczon, Linda

ISBN 10: 0128154128 / ISBN 13: 9780128154120

Edité par Morgan Kaufmann, 2022

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Unread book in perfect condition. N° de réf. du vendeur 44481733

Détails bibliographiques

Titre : Engineering a Compiler

Éditeur : Morgan Kaufmann

Date d'édition : 2022

Reliure : Couverture souple

Etat : As New

Edition : 3ème Édition

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Synopsis :

*Textbook and Academic Authors Association (TAA) Textbook Excellence Award Winner, 2024*

Engineering a Compiler, Third Edition covers the latest developments in compiler technology, with new chapters focusing on semantic elaboration (the problems that arise in generating code from the ad-hoc syntax-directed translation schemes in a generated parser), on runtime support for naming and addressability, and on code shape for expressions, assignments and control-structures. Leading educators and researchers, Keith Cooper and Linda Torczon, have revised this popular text with a fresh approach to learning important techniques for constructing a modern compiler, combining basic principles with pragmatic insights from their own experience building state-of-the-art compilers.

À propos des auteurs:

Dr. Cooper Ph.D., Professor, Dept. of Computer Science at Rice University, is the leader of the Massively Scalar Compiler Project at Rice, which investigates issues relating to optimization and code generation for modern machines. He is also a member of the Center for High Performance Software Research, the Computer and Information Technology Institute, and the Center for Multimedia Communication -- all at Rice. He teaches courses in Compiler Construction at the undergraduate and graduate level.

Linda Torczon is a principal investigator on the Massively Scalar Compiler Project at Rice University, and the Grid Application Development Software Project sponsored by the next Generation Software program of the National Science Foundation. She also serves as the executive director of HiPerSoft and of the Los Alamos Computer Science Institute. Her research interests include code generation, interprocedural dataflow analysis and optimization, and programming environments.