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  • Javed Awan, Ahsan,1988-KTH,Programvaruteknik och Datorsystem, SCS (author)

Identifying the potential of Near Data Processing for Apache Spark

  • Article/chapterEnglish2017

Publisher, publication year, extent ...

  • 2017-10-02
  • New York, NY, USA :Association for Computing Machinery (ACM),2017
  • electronicrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:kth-211727
  • https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211727URI
  • https://doi.org/10.1145/3132402.3132427DOI

Supplementary language notes

  • Language:English
  • Summary in:English

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Classification

  • Subject category:ref swepub-contenttype
  • Subject category:kon swepub-publicationtype

Notes

  • ISBN for proceedings: 9781450353359QC 20171124QC 20210518
  • While cluster computing frameworks are continuously evolving to provide real-time data analysis capabilities, Apache Spark has managed to be at the forefront of big data analytics for being a unified framework for both, batch and stream data processing. There is also a renewed interest in Near Data Processing (NDP) due to technological advancement in the last decade. However, it is not known if NDP architectures can improve the performance of big data processing frameworks such as Apache Spark. In this paper, we build the case of NDP architecture comprising programmable logic based hybrid 2D integrated processing-in-memory and instorage processing for Apache Spark, by extensive profiling of Apache Spark based workloads on Ivy Bridge Server.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Ohara, MoriyoshiIBM Research Tokyo, Japan (author)
  • Ayguade, EduardBarcelona Super Computing Center, Spain (author)
  • Ishizaki, KazaukiIBM Research Tokyo, Japan (author)
  • Brorsson, Mats,1962-KTH,Programvaruteknik och Datorsystem, SCS(Swepub:kth)u1dkd5v9 (author)
  • Vlassov, Vladimir,1957-KTH,Programvaruteknik och Datorsystem, SCS(Swepub:kth)u19yb2c8 (author)
  • KTHProgramvaruteknik och Datorsystem, SCS (creator_code:org_t)

Related titles

  • In:Proceedings of the International Symposium on Memory Systems, MEMSYS 2017New York, NY, USA : Association for Computing Machinery (ACM), s. 60-67

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Royal Institute of Technology

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