We introduce a structure-aware parallel technique for contextbounded analysis of concurrent programs. The key intuition consists in decomposing the set of concurrent traces into symbolic subsets that are separately explored by multiple instances of the same decision procedure running in parallel. The decision procedures work on different partitions of the search space without cooperating, whence distribution follows effortlessly. Our experiments on a selection of complex multi-threaded programs show significant analysis speedups and scalability, and greater performance gains than with general-purpose parallel solvers

Parallel and distributed bounded model checking of multi-threaded programs

Inverso O;Trubiani C
2020

Abstract

We introduce a structure-aware parallel technique for contextbounded analysis of concurrent programs. The key intuition consists in decomposing the set of concurrent traces into symbolic subsets that are separately explored by multiple instances of the same decision procedure running in parallel. The decision procedures work on different partitions of the search space without cooperating, whence distribution follows effortlessly. Our experiments on a selection of complex multi-threaded programs show significant analysis speedups and scalability, and greater performance gains than with general-purpose parallel solvers
978-1-4503-6818-6
File in questo prodotto:
File Dimensione Formato  
2020_ProcPPoPP20_Inverso.pdf

non disponibili

Tipologia: Versione Editoriale (PDF)
Licenza: Non pubblico
Dimensione 1.39 MB
Formato Adobe PDF
1.39 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.12571/7176
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 21
  • ???jsp.display-item.citation.isi??? ND
social impact