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https://doi.org/10.1109/memcod...
Article . 2011 . Peer-reviewed
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Parallel assertions for debugging parallel programs

Authors: Daniel Schwartz-Narbonne; Feng Liu; Tarun Pondicherry; David I. August; Sharad Malik;

Parallel assertions for debugging parallel programs

Abstract

A parallel program must execute correctly even in the presence of unpredictable thread interleavings. This interleaving makes it hard to write correct parallel programs, and also makes it hard to find bugs in incorrect parallel programs. A range of tools have been developed to help debug parallel programs, ranging from atomicity-violation and data-race detectors to model-checkers and theorem provers. One technique that has been successful for debugging sequential programs, but less effective for parallel programs, is running the program using assertion predicates provided by the developer. These assertions allow programmers to specify and check their assumptions. In a multi-threaded program, the programmer's assumptions include both the current state, and any actions (e.g. access to shared memory) that other, parallel executing threads might take. We introduce parallel assertions which allow programmers to express these assumptions for parallel programs using simple and intuitive syntax and semantics. We present a proof-of-concept implementation, and demonstrate its value by testing a number of benchmark programs using parallel assertions.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average