Normal view MARC view ISBD view

Variations on Constants [electronic resource] : Flow Analysis of Sequential and Parallel Programs / by Markus Müller-Olm.

By: Müller-Olm, Markus [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Programming and Software Engineering: 3800Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006Edition: 1st ed. 2006.Description: XIII, 177 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540453864.Subject(s): Computer science | Software engineering | Compilers (Computer programs) | Theory of Computation | Software Engineering | Computer Science Logic and Foundations of Programming | Compilers and InterpretersAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 004.0151 Online resources: Click here to access online
Contents:
1. Introduction -- 2. A Hierarchy of Constants -- 3. Deciding Constants by Effective Weakest Preconditions -- 4. Limits of Parallel Flow Analysis -- 5. Parallel Flow Graphs -- 6. Non-atomic Execution -- 7. Dependence Traces -- 8. Detecting Copy Constants and Eliminating Faint Code -- 9. Complexity in the Non-atomic Scenario -- 10. Conclusion -- A. A Primer on Constraint-Based Program Analysis.
In: Springer Nature eBookSummary: Program analysis is concerned with techniques that automatically determine run-time properties of given programs prior to run-time. It is used for validation in order to ensure that programs serve their intended purpose and in further processing for efficient execution such as in optimizing compilers. Optimal program analysis provides a guarantee about the precision of the computed results. This monograph, a revised version of the author's habilitation thesis, focusses on optimal flow analysis of sequential and parallel programs. It studies algorithmic properties of various versions of the well-known constant-propagation problem. In order to come to grips with the variants considered, it combines techniques from different areas such as linear algebra, computable ring theory, abstract interpretation, program verification, complexity theory, etc. Combination of techniques is the key to further progress in automatic analysis and constant-propagation allows us to illustrate this point in a theoretical study. After a general overview, the monograph consists of three essentially self-contained parts that can be read independently of each other. These parts study: a hierarchy of constants in sequential programs, inherent limits of flow analysis of parallel programs, and how to overcome these limits by abandoning a classic atomic execution assumption.
    average rating: 0.0 (0 votes)
No physical items for this record

1. Introduction -- 2. A Hierarchy of Constants -- 3. Deciding Constants by Effective Weakest Preconditions -- 4. Limits of Parallel Flow Analysis -- 5. Parallel Flow Graphs -- 6. Non-atomic Execution -- 7. Dependence Traces -- 8. Detecting Copy Constants and Eliminating Faint Code -- 9. Complexity in the Non-atomic Scenario -- 10. Conclusion -- A. A Primer on Constraint-Based Program Analysis.

Program analysis is concerned with techniques that automatically determine run-time properties of given programs prior to run-time. It is used for validation in order to ensure that programs serve their intended purpose and in further processing for efficient execution such as in optimizing compilers. Optimal program analysis provides a guarantee about the precision of the computed results. This monograph, a revised version of the author's habilitation thesis, focusses on optimal flow analysis of sequential and parallel programs. It studies algorithmic properties of various versions of the well-known constant-propagation problem. In order to come to grips with the variants considered, it combines techniques from different areas such as linear algebra, computable ring theory, abstract interpretation, program verification, complexity theory, etc. Combination of techniques is the key to further progress in automatic analysis and constant-propagation allows us to illustrate this point in a theoretical study. After a general overview, the monograph consists of three essentially self-contained parts that can be read independently of each other. These parts study: a hierarchy of constants in sequential programs, inherent limits of flow analysis of parallel programs, and how to overcome these limits by abandoning a classic atomic execution assumption.

There are no comments for this item.

Log in to your account to post a comment.