HPX Smart Executors

@article{Khatami2017HPXSE,
  title={HPX Smart Executors},
  author={Zahra Khatami and Lukas Troska and Hartmut Kaiser and J. Ramanujam and Adrian Serio},
  journal={ArXiv},
  year={2017},
  volume={abs/1711.01519}
}
The performance of many parallel applications depends on loop-level parallelism. However, manually parallelizing all loops may result in degrading parallel performance, as some of them cannot scale desirably to a large number of threads. In addition, the overheads of manually tuning loop parameters might prevent an application from reaching its maximum parallel performance. We illustrate how machine learning techniques can be applied to address these challenges. In this research, we develop a… CONTINUE READING
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