Synopsis
Unlocking faster code with proven data-flow techniques for program optimization.
This work presents general-purpose algorithms that power the SETL optimizer, helping compilers analyze and transform code for better performance.
The authors detail interval analysis and forward/backward data-flow methods designed to improve optimization across languages. The approach works with an intermediate program representation, including interprocedural and intraprocedural analyses, and supports code motion to remove redundant computations. While rooted in SETL, the techniques aim to be broadly applicable to many programming environments.
- How interval analysis identifies and collapses control-flow structures to streamline analysis
- Forward and backward data-flow strategies for bitvector-style properties like availability and liveness
- Interprocedural methods that respect call semantics and enable optimizations across procedures
- Code motion techniques that move computations to earlier points without changing semantics
Ideal for readers of formal optimization methods and compiler design who seek practical, scalable analysis techniques.
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A Design for Optimizations of the Bitvectoring Class (Classic Reprint)
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Paperback. Condition: New. Print on Demand. This book explores the analysis of data flow in computer programs, an important technique that aims to optimize program performance. It presents several algorithms designed for different types of data flow problems, including those that involve iteration and recursion. These algorithms are based on the author's research and represent significant improvements over traditional methods. They leverage new techniques, such as interval analysis, to enhance their efficiency. The book also examines the practical aspects of implementing these algorithms in a programming language, such as SETL. The author provides a detailed description of how to apply these algorithms to specific data flow problems in the SETL optimizer, including examples of the generated code. Significant attention is given to interprocedural analysis, which is necessary for optimizing programs that consist of multiple procedures that call each other. The book includes a discussion of the theoretical foundations of interprocedural analysis and presents efficient algorithms that can handle complex call patterns. Overall, this book provides a thorough and accessible guide to data flow analysis techniques, addressing both the theoretical underpinnings and their practical implementation. It is a valuable resource for researchers and practitioners seeking to improve the performance of computer programs. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Seller Inventory # 9781332871186_0
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A Design for Optimizations of the Bitvectoring Class (Classic Reprint)
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