Parallel Inductive Logic Programming System for Superlinear Speedup

被引：1
|
作者：
Nishiyama, Hiroyuki [1 ]
Ohwada, Hayato [1 ]
机构：
[1] Tokyo Univ Sci, Fac Sci & Technol, 2641 Yamazaki, Noda, Chiba 2788510, Japan
来源：
INDUCTIVE LOGIC PROGRAMMING (ILP 2017) | 2018年 / 10759卷
关键词：
ILP;
D O I：
10.1007/978-3-319-78090-0_8
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this study, we improve our parallel inductive logic programming (ILP) system to enable superlinear speedup. This improvement redesigns several features of our ILP learning system and parallel mechanism. The redesigned ILP learning system searches and gathers all rules that have the same evaluation. The redesigned parallel mechanism adds a communication protocol for sharing the evaluation of the identified rules, thereby realizing superlinear speedup.
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页码：112 / 123
页数：12
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