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International Workshop on OpenMP

IWOMP 2007: A Practical Programming Model for the Multi-Core Era pp 125–128Cite as

An Investigation on Testing of Parallelized Code with OpenMP

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4935))

Abstract

Testing is a crucial element of software development. As OpenMP becomes more widely used, a relevant question for developers is: How will programs, that have been parallelized with OpenMP, be tested for correctness? OpenMP programs are concurrent programs and as such all the risks of concurrent programming are present as well. This paper presents some observations about testing parallelized loops using OpenMP.

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References

  1. Chandra, R., et al.: Parallel Programming in OpenMP. Morgan Kaufmann, San Francisco (2001)

    Google Scholar 

  2. Tomasulo, R.: An Efficient Algorithm for Exploiting Multiple Arithmetic Units. IBM Journal of Research and Development 11(1), 25 (1967)

    Article  MATH  Google Scholar 

  3. Padua, D.A., Wolfe, M.: Advance Compiler Optimization for Supercomputers. Communications of the ACM 29(12), 1184–1201 (1986)

    Article  Google Scholar 

  4. Jorgensen, P.: Software Testing - A Craftsman’s Approach, 2nd edn. CRC, Boca Raton (2002)

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  5. Huang, J.: A New Verification Rule and Its Application. IEEE Transactions on Software Engineering 6(5), 480–484 (1980)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Systems, Grand Valley State University, Allendale, MI 49401-9403,  

    Robert Barnhart, Christian Trefftz, Paul Jorgensen & Yonglei Tao

Authors
  1. Robert Barnhart
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  2. Christian Trefftz
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  3. Paul Jorgensen
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  4. Yonglei Tao
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Editor information

Barbara Chapman Weiming Zheng Guang R. Gao Mitsuhisa Sato Eduard Ayguadé Dongsheng Wang

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© 2008 Springer-Verlag Berlin Heidelberg

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Barnhart, R., Trefftz, C., Jorgensen, P., Tao, Y. (2008). An Investigation on Testing of Parallelized Code with OpenMP. In: Chapman, B., Zheng, W., Gao, G.R., Sato, M., Ayguadé, E., Wang, D. (eds) A Practical Programming Model for the Multi-Core Era. IWOMP 2007. Lecture Notes in Computer Science, vol 4935. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69303-1_11

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  • DOI: https://doi.org/10.1007/978-3-540-69303-1_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69302-4

  • Online ISBN: 978-3-540-69303-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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