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Data stream processing via code annotations

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Abstract

Time-to-solution is an important metric when parallelizing existing code. The REPARA approach provides a systematic way to instantiate stream and data parallel patterns by annotating the sequential source code with \({\mathtt {C}}\)++\({\mathtt {11}}\) attributes. Annotations are automatically transformed in a target parallel code that uses existing libraries for parallel programming (e.g., FastFlow). In this paper, we apply this approach for the parallelization of a data stream processing application. The description shows the effectiveness of the approach in easily and quickly prototyping several parallel variants of the sequential code by obtaining good overall performance in terms of both throughput and latency.

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Notes

  1. At the time of writing, this phase is hand-made and not fully automatized.

  2. REPARA imposes restrictions on the source code when targeting specific hardware.

  3. http://apps.jcns.fz-juelich.de/lmfit.

  4. The trades and quotes NASDAQ tracefile of 30 Oct 2014, downloadable at http://www.nyxdata.com.

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Acknowledgments

This work was partially supported by the EU FP7 project REPARA (ICT-609666).

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Authors and Affiliations

  1. Department of Computer Science, University of Pisa, Pisa, Italy

    Marco Danelutto, Tiziano De Matteis, Gabriele Mencagli & Massimo Torquati

Authors
  1. Marco Danelutto
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  2. Tiziano De Matteis
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  3. Gabriele Mencagli
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  4. Massimo Torquati
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Corresponding author

Correspondence to Massimo Torquati.

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Danelutto, M., De Matteis, T., Mencagli, G. et al. Data stream processing via code annotations. J Supercomput 74, 5659–5673 (2018). https://doi.org/10.1007/s11227-016-1793-9

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