research-article

Providing Parallel Debugging for DASH Distributed Data Structures with GDB

Authors:

Denis Hnich,

Andreas Knpfer,

Jos GraciaAuthors Info & Claims

Procedia Computer Science, Volume 51, Issue C

Pages 1383 - 1392

https://doi.org/10.1016/j.procs.2015.05.345

Published: 01 September 2015 Publication History

Abstract

The C++ DASH template library provides distributed data container for Partitioned Global Address Space (PGAS)-like programming. Because DASH is new and under development no debugger is capable to handle the parallel processes or access/modify container elements in a convenient way. This paper describes how the DASH library has to be extended to interrupt the start-up process to connect a debugger with all started processes and to enable the debugger for accessing and modifying DASH container elements. Furthermore, an GDB extension to output well formatted DASH container information is presented.

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Amaral VNorberto BGoulão MAldinucci MBenkner SBracciali ACarreira PCelms ECorreia LGrelck CKaratza HKessler CKilpatrick PMartiniano HMavridis IPllana SRespício ASimão JVeiga LVisa A(2020)Programming languages for data-Intensive HPC applicationsParallel Computing10.1016/j.parco.2019.10258491:COnline publication date: 1-Mar-2020
https://dl.acm.org/doi/10.1016/j.parco.2019.102584

Providing Parallel Debugging for DASH Distributed Data Structures with GDB
1. Software and its engineering
  1. Software creation and management
    1. Software verification and validation
      1. Software defect analysis
  2. Software notations and tools
    1. General programming languages

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Published In

Procedia Computer Science Volume 51, Issue C

September 2015

2996 pages

ISSN:1877-0509

EISSN:1877-0509

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Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 September 2015

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Amaral VNorberto BGoulão MAldinucci MBenkner SBracciali ACarreira PCelms ECorreia LGrelck CKaratza HKessler CKilpatrick PMartiniano HMavridis IPllana SRespício ASimão JVeiga LVisa A(2020)Programming languages for data-Intensive HPC applicationsParallel Computing10.1016/j.parco.2019.10258491:COnline publication date: 1-Mar-2020
https://dl.acm.org/doi/10.1016/j.parco.2019.102584

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Cited By

Recommendations

An SDN Architecture for Privacy-Friendly Network-Assisted DASH

More Debugging in Parallel

Relative Debugging for Data-Parallel Programs: A ZPL Case Study

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