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Engineering a Compiler
This entirely revised second edition of Engineering a Compiler is full of technical updates and new material covering the latest developments in compiler technology. In this comprehensive text you will learn important techniques for constructing a modern compiler. Leading educators and researchers Keith Cooper and Linda Torczon combine basic principles with pragmatic insights from their experience building state-of-the-art compilers. They will help you fully understand important techniques such as compilation of imperative and object-oriented languages, construction of static single assignment forms, instruction scheduling, and graph-coloring register allocation. - In-depth treatment of algorithms and techniques used in the front end of a modern compiler - Focus on code optimization and code generation, the primary areas of recent research and development - Improvements in presentation including conceptual overviews for each chapter, summaries and review questions for sections, and prominent placement of definitions for new terms - Examples drawn from several different programming languages
Engineering a Compiler
The proliferation of processors, environments, and constraints on systems has cast compiler technology into a wider variety of settings, changing the compiler and compiler writer's role. No longer is execution speed the sole criterion for judging compiled code. Today, code might be judged on how small it is, how much power it consumes, how well it compresses, or how many page faults it generates. In this evolving environment, the task of building a successful compiler relies upon the compiler writer's ability to balance and blend algorithms, engineering insights, and careful planning. Today's compiler writer must choose a path through a design space that is filled with diverse alternatives, ...
Advanced Compiler Design Implementation
Computer professionals who need to understand advanced techniques for designing efficient compilers will need this book. It provides complete coverage of advanced issues in the design of compilers, with a major emphasis on creating highly optimizing scalar compilers. It includes interviews and printed documentation from designers and implementors of real-world compilation systems.
An Introduction to Parallel Programming
An Introduction to Parallel Programming is the first undergraduate text to directly address compiling and running parallel programs on the new multi-core and cluster architecture. It explains how to design, debug, and evaluate the performance of distributed and shared-memory programs. The author Peter Pacheco uses a tutorial approach to show students how to develop effective parallel programs with MPI, Pthreads, and OpenMP, starting with small programming examples and building progressively to more challenging ones. The text is written for students in undergraduate parallel programming or parallel computing courses designed for the computer science major or as a service course to other departments; professionals with no background in parallel computing. - Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples - Focuses on designing, debugging and evaluating the performance of distributed and shared-memory programs - Explains how to develop parallel programs using MPI, Pthreads, and OpenMP programming models
Programming Language Pragmatics
Accompanying CD-ROM contains ... "advanced/optional content, hundreds of working examples, an active search facility, and live links to manuals, tutorials, compilers, and interpreters on the World Wide Web."--Page 4 of cover.
Graph Partitioning and Graph Clustering
Graph partitioning and graph clustering are ubiquitous subtasks in many applications where graphs play an important role. Generally speaking, both techniques aim at the identification of vertex subsets with many internal and few external edges. To name only a few, problems addressed by graph partitioning and graph clustering algorithms are: What are the communities within an (online) social network? How do I speed up a numerical simulation by mapping it efficiently onto a parallel computer? How must components be organized on a computer chip such that they can communicate efficiently with each other? What are the segments of a digital image? Which functions are certain genes (most likely) responsible for? The 10th DIMACS Implementation Challenge Workshop was devoted to determining realistic performance of algorithms where worst case analysis is overly pessimistic and probabilistic models are too unrealistic. Articles in the volume describe and analyze various experimental data with the goal of getting insight into realistic algorithm performance in situations where analysis fails.
Leveraging Applications of Formal Methods
This book constitutes the thoroughly refereed post-proceedings of the First International Symposium on Leveraging Applications of Formal Methods, ISoLA 2004, held in Paphos, Cyprus in October/November 2004. The 12 revised full papers presented were carefully selected from more than 70 submissions. The papers discuss issues related to the adoption and use of rigorous tools and methods for the specification, analysis, verification, certification, construction, test, and maintenance of systems. In particular, by discussing common problems, requirements, algorithms, methodologies, and practices, ISoLA aims at supporting researchers in their quest to improve the utility, reliability, flexibility, and efficiency of tools for building systems, and users in their search for adequate solutions to their problems.
Parallel Programming in OpenMP
Software -- Programming Techniques.
Essentials of Compilation
A hands-on approach to understanding and building compilers. Compilers are notoriously some of the most difficult programs to teach and understand. Most books about compilers dedicate one chapter to each progressive stage, a structure that hides how language features motivate design choices. By contrast, this innovative textbook provides an incremental approach that allows students to write every single line of code themselves. Essentials of Compilation guides the reader in constructing their own compiler for a small but powerful programming language, adding complex language features as the book progresses. Jeremy Siek explains the essential concepts, algorithms, and data structures that und...
