Particle swarm stepwise algorithm (PaSS) on multicore hybrid CPU-GPU clusters

Mu Yang, Ray-Bing Chen, I. Hsin Chung, Weichung Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Variable (feature) selection is a key component in artificial intelligence. One way to perform variable selection is to solve the information-criterion-based optimization problems. These optimization problems arise from data mining, genomes analysis, machine learning, numerical simulations, and others. Particle Swarm Stepwise Algorithm (PaSS) is a stochastic search algorithm proposed to solve the information-criterion-based variable selection optimization problems. It has been shown recently that the PaSS outperforms several existed methods. However, to solve the target optimization problems remains a challenge due to the large search spaces. We tackle this issue by proposing a parallel version of the PaSS on clusters equipped with CPU and GPU to shorten the computational time without compromise in solution accuracy. We have successfully achieved near-linear scalability on CPU with single to 64 threads and gained further 7X faster timing performance by using GPU.

Original languageEnglish
Title of host publicationProceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages265-272
Number of pages8
ISBN (Electronic)9781509043149
DOIs
Publication statusPublished - 2017 Mar 10
Event16th IEEE International Conference on Computer and Information Technology, CIT 2016 - Nadi, Fiji
Duration: 2016 Dec 72016 Dec 10

Publication series

NameProceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016

Other

Other16th IEEE International Conference on Computer and Information Technology, CIT 2016
CountryFiji
CityNadi
Period16-12-0716-12-10

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications
  • Computer Networks and Communications
  • Information Systems
  • Safety, Risk, Reliability and Quality

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