Monitoring and debugging message passing applications with MPVisualizer

Cláudio, Ana Paula; Cunha, João Duarte; Carmo, Maria Beatriz

doi:10.1109/empdp.2000.823433

Cited by 8 publications

(6 citation statements)

References 12 publications

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“…The subject of debugging message-based systems has been studied extensively over the years. However, the general theme of this research seems to be emulating standard debugging functionalities such as replay debugging [6,7,8,9] and race condition detection [10,11]. Replay debugging is a debugging technique where program's execution is recorded and then played back in controlled conditions.…”

Section: State Of the Artmentioning

confidence: 99%

Non-Intrusive Data Inspection for Message-Based Systems

Czajka

Otwinowski

Kitowski

2021

cai

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Section: State Of the Artmentioning

confidence: 99%

Non-Intrusive Data Inspection for Message-Based Systems

Czajka

Otwinowski

Kitowski

2021

cai

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“…In our study, we noticed that some tools considered as debugging tools, not testing tools, including AutomaDeD [27], ALLINEA DDT [28], TotalView [29], PDT [21] and MPVisualizer [30]. We have noticed that these five debuggers do not help to test or detect errors, but instead are used for finding the causes of the errors.…”

Section: Related Workmentioning

confidence: 99%

ACC_TEST: Hybrid Testing Techniques for MPI-Based Programs

et al. 2020

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Recently, MPI has become widely used in many scientific applications, including different non-computer science fields, for parallelizing their applications. An MPI programming model is used for supporting parallelism in several programming languages, including C, C++, and Fortran. MPI also supports integration with some programming models and has several implementations from different vendors, including open-source and commercial implementations. However, testing parallel programs is a difficult task, especially when using programming models with different behaviours and types of error based on the programming model type. In addition, the increased use of these programming models by non-computer science specialists can cause several errors due to lack of experience in programming, which needs to be considered when using any testing tools. We noticed that dynamic testing techniques have been used for testing the majority of MPI programs. The dynamic testing techniques detect errors by analyzing the source code during runtime, which will cause overheads, and this will affect the program's performance, especially when targeting massive parallel applications generating thousands or millions of threads. In this paper, we enhance ACC_TEST to have the ability to test MPI-based programs and detect runtime errors occurring with different types of MPI communications. We decided to use hybrid-testing techniques by combining both static and dynamic testing techniques to gain the benefit of each and reduce the cost. INDEX TERMS MPI, MPI testing tool, hybrid testing techniques, parallel programming, ACC_TEST.

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“…The first one contains data generated by a debugging tool for message passing distributed applications [7], the second one includes locations and attributes of public buildings in a city, and the last one temperatures measured on an isobaric surface between the parallels 80º and 20º and the meridians -45º and 45º at a given time.…”

Section: Examplesmentioning

confidence: 99%