HPX allows users to parallel their for-loops. The user can change values of chunk size and prefetching distance with existing execution policies. Some of these policies use machine learning the optimal chunk size and prefetching distance for a given for-loop. However, these machine learning algorithms are classification algorithms so the number of possible outcome is limited. The idea is to use regression algorithms to allow for as many outcomes as needed.

Organization

Student

gabriel laberge

Mentors

  • Patrick Diehl
  • Marcin Copik
  • Zahra Khatami
close

2018