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First published in 1986, it is widely regarded as the classic definitive compiler technology text. [2] It is known as the Dragon Book to generations of computer scientists [3] [4] as its cover depicts a knight and a dragon in battle, a metaphor for conquering complexity. This name can also refer to Aho and Ullman's older Principles of Compiler ...
It is often called the "green dragon book" [1] and its cover depicts a knight and a dragon in battle; the dragon is green, and labeled "Complexity of Compiler Design", while the knight wields a lance and a shield labeled "LALR parser generator" and "Syntax Directed Translation" respectively, and rides a horse labeled "Data Flow Analysis".
It describes the BLISS optimizing compiler for the PDP-11, written at Carnegie Mellon University in the early 1970s. The compiler ran on a PDP-10 and was one of the first to produce well-optimized code for a minicomputer. Because of its elegant design and the quality of the generated code, the compiler and book remain classics in the compiler ...
Compiler design. Regardless of the exact number of phases in the compiler design, the phases can be assigned to one of three stages. The stages include a front end, a middle end, and a back end. The front end scans the input and verifies syntax and semantics according to a specific source language.
Principles of Compiler Design, a book by Alfred V. Aho, and Jeffrey D. Ullman; Compilers: Principles, Techniques, and Tools, a book by Alfred V. Aho, Monica S. Lam, Ravi Sethi, and Jeffrey D. Ullman; The Dragon Book, a 2009 fantasy anthology co-edited by Gardner Dozois
In compiler theory, common subexpression elimination (CSE) is a compiler optimization that searches for instances of identical expressions (i.e., they all evaluate to the same value), and analyzes whether it is worthwhile replacing them with a single variable holding the computed value. [1]
An optimizing compiler is a compiler designed to generate code that is optimized in aspects such as minimizing program execution time, memory usage, storage size, and power consumption. [1] Optimization is generally implemented as a sequence of optimizing transformations , a.k.a. compiler optimizations – algorithms that transform code to ...
A binary optimizer takes the existing output from a compiler and produces a better execution file with the same functionality. An object code optimizer, sometimes also known as a post pass optimizer or, for small sections of code, peephole optimizer, forms part of a software compiler.