SSA-based Compiler Design (Springer)
Monday, 13 February 2023

This book provides readers with a single-source reference to static-single assignment (SSA)-based compiler design. It is the first (and up to now only) book that covers in a deep and comprehensive way how an optimizing compiler can be designed using the SSA form. Edited by Fabrice Rastello and Florent Bouchez Tichadou the book has 24 chapters written by 31 authors and has been 12 years in the making.

<ASIN:303080514X>

After chapters introducing vanilla SSA and its main properties, the book describes several compiler analyses and optimizations and illustrates how compiler design can be made simpler and more efficient, thanks to the SSA form. Coverage also includes advanced topics, such as code generation, aliasing, predication and more.

Editors: Fabrice Rastello and Florent Bouchez Tichadou
Publisher: Springer
Date: December 2022
Pages: 399
ISBN: 978-3030805142
Print: 303080514X
Audience: Developers interested in creating compilers
Level: Advanced
Category: Software Architecture

ssacomp 

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner
 


Beginning Programming All-in-One For Dummies

Author: Wallace Wang
Publisher: For Dummies
Pages: 800
ISBN: 978-1119884408
Print: 1119884403
Kindle: B0B1BLY87B
Audience: Novice programmers
Rating: 3
Reviewer: Kay Ewbank

This is a collection of seven shorter books introducing key aspects of programming, but it fails through trying to cover too [ ... ]



Deep Learning (No Starch Press)

Author: Andrew Glassner
Publisher: No Starch Press
Date: July 2021
Pages: 750
ISBN: 978-1718500723
Print: 1718500726
Kindle: ‎ B085BVWXNS
Audience: Developers interested in deep learning
Rating: Mike James
Reviewer: 5
A book on deep learning wtihout an equation in sight?


More Reviews