Anzeige
Erschienen in:
2013 | OriginalPaper | Buchkapitel
Concise Analysis Using Implication Algebras for Task-Local Memory Optimisation
verfasst von : Leo White, Alan Mycroft
Erschienen in: Static Analysis
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
OpenMP is a pragma-based extension to C to support parallelism. The OpenMP standard recently added support for task-based parallelism but in a richer way than languages such as Cilk. Naïve implementations give each task its own stack for task-local memory, which is very inefficient.
We detail a program analysis for OpenMP to enable tasks to share stacks without synchronisation—either unconditionally or dependent on some cheap run-time condition which is very likely to hold in busy systems.
The analysis is based on a novel implication-algebra generalisation of logic programming which allows concise but easily readable encodings of the various constraints. The formalism enables us to show that the analysis has a unique solution and polynomial-time complexity.
We conclude with performance figures.