Student research poster: A scalable general purpose system for large-scale graph processing

Jiawen Sun, H. Vandierendonck, D. S. Nikolopoulos

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

Abstract

Graph analytics is an important and computationally demanding class of data analytics. It is essential to balance scalability, ease-of-use and high performance in large scale graph analytics. As such, it is necessary to hide the complexity of parallelism, data distribution and memory locality behind an abstract interface [2].
Original languageEnglish
Title of host publication2016 International Conference on Parallel Architecture and Compilation Techniques (PACT)
Place of PublicationHaifa, Israel
PublisherACM
Pages456-456
Number of pages1
ISBN (Electronic)978-1-4503-4121-9
ISBN (Print)978-1-5090-5308-7
DOIs
Publication statusPublished - 1 Sep 2016
Event25th International Conference on Parallel Architectures and Compilation Techniques - Haifa, Israel
Duration: 11 Sep 201615 Sep 2016
http://pact2016.pactconf.org/

Conference

Conference25th International Conference on Parallel Architectures and Compilation Techniques
Abbreviated titlePACT 2016
CountryIsrael
CityHaifa
Period11/09/1615/09/16
Internet address

Keywords

  • data handling
  • graph theory
  • parallel processing
  • performance evaluation
  • storage management
  • large-scale graph processing
  • student research poster
  • data analysis
  • graph analytics
  • parallelism complexity
  • data distribution
  • memory locality
  • Polymers
  • Parallel processing
  • Optimization
  • Scalability
  • Parallel programming
  • Sun
  • Roads

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