Parallelization of Apriori algorithm using Charm++ library

Marek Puścian; Waldemar Grabski

doi:10.1117/12.2205908

11 September 2015 Parallelization of Apriori algorithm using Charm++ library

Marek Puścian, Waldemar Grabski

Proceedings Volume 9662, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2015; 96623S (2015) https://doi.org/10.1117/12.2205908
Event: XXXVI Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (Wilga 2015), 2015, Wilga, Poland

Abstract

This paper deals with the problem of adapting sequential frequent item sets mining algorithm to parallel processing. The original Bodon's Apriori algorithm has been partitioned into loosely coupled tasks and prepared to be executed on several computation nodes using Charm++ library. Variety of optimization methods have been proposed and successfully implemented in parallel environment. The work provides enhancements to achieve good efficiency during parallelization of existing solutions, e.g.: how to organize communication between tasks. The presented approach has been illustrated with many experiments and measurements performed on parallelized algorithm.

Citation Download Citation

Marek Puścian and Waldemar Grabski "Parallelization of Apriori algorithm using Charm++ library", Proc. SPIE 9662, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2015, 96623S (11 September 2015); https://doi.org/10.1117/12.2205908

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available