Parallel ILP System for Super Linear Speed Up

نویسندگان

  • Hiroyuki Nishiyama
  • Hayato Ohwada
چکیده

In our study, we improve our Parallel Inductive Logic Programming (ILP) System to enable super linear speedup. This improvement redesigns several features of our ILP learning system and our parallel mechanism. The redesigned ILP learning system searches and gathers all rules that have the same evaluation in the learning. The redesigned parallel mechanism adds a communication protocol for sharing the evaluation of found rules. We can thus realize super linear speedup.

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تاریخ انتشار 2017