Latest Advances in Inductive Logic Programming by Stephen H Muggleton & Hiroaki Watanabe
Author:Stephen H Muggleton & Hiroaki Watanabe
Language: eng
Format: epub, azw3, pdf
ISBN: 9781783265107
Publisher: Imperial College Press
Published: 2014-10-30T04:00:00+00:00
PART 3
Implementations
Chapter 15
Customisable Multi-Processor Acceleration of Inductive Logic Programming
Andreas K. Fidjeland, Wayne Luk, and Stephen H. Muggleton
Imperial College London, UK
Parallel approaches to Inductive Logic Programming (ILP) are adopted to address the computational complexity in the learning process. Existing parallel ILP implementations build on conventional general-purpose processors. This chapter describes a different approach, by exploiting user-customisable parallelism available in advanced reconfigurable devices such as Field-Programmable Gate Arrays (FPGAs). Our customisable parallel architecture for ILP has three elements: a customisable logic programming processor, a multi-processor for parallel hypothesis evaluation, and an architecture generation framework for creating such multi-processors. Our approach offers a means of achieving high performance by producing parallel architectures adapted both to the problem domain and to specific problem instances. The coverage test in Progol 4.4 is performed up to 56 times faster using our multi-processor.
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