Visual exploration of data with multithread MIC computer architectures

Piotr Pawliczek, Witold Dzwinel, David A. Yuen

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

2 Scopus citations

Abstract

Knowledge mining from immense datasets requires fast, reliable and affordable tools for their visual and interactive exploration. Multidimensional scaling (MDS) is a good candidate for embedding of high-dimensional data into visually perceived 2-D and 3-D spaces. We focus here on the way to increase the computational performance of MDS in the context of interactive, hierarchical, visualization of big data. To this end we propose a parallel implementation of MDS on the modern Intel Many Integrated Core Architecture (MIC). We compare the timings obtained for MIC architecture to GPU and standard multi-core CPU implementations of MDS. We conclude that despite 30-40% lower computational performance comparing to GPU/CUDA tuned MDS codes, the MIC solution is still competitive due to dramatically shorter code production and tuning time. The integration of MIC with CPU will make this architecture very competitive with more volatile on technological changes GPU solutions.

Original languageEnglish (US)
Title of host publicationArtificial Intelligence and Soft Computing - 14th International Conference, ICAISC 2015, Proceedings
EditorsRyszard Tadeusiewicz, Lotfi A. Zadeh, Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Jacek M. Zurada
PublisherSpringer Verlag
Pages25-35
Number of pages11
ISBN (Electronic)9783319193687
DOIs
StatePublished - 2015
Event14th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2015 - Zakopane, Poland
Duration: Jun 14 2015Jun 18 2015

Publication series

NameLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume9120
ISSN (Print)0302-9743

Other

Other14th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2015
CountryPoland
CityZakopane
Period6/14/156/18/15

Keywords

  • Interactive data visualization
  • Many integrated core architecture (MIC)
  • Method of particles
  • Multidimensional scaling

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