Operator and Workflow Optimization for High-Performance Analytics

Hans Vandierendonck, Karen L. Murphy, Mahwish Arif, Jiawen Sun, Dimitrios S. Nikolopoulos

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


We make a case for studying the impact of intra-node parallelism on the performance of data analytics. We identify four performance optimizations that are enabled by an increasing number of processing cores on a chip. We discuss the performance impact of these opimizations on two analytics operators and we identify how these optimizations affect each another.
Original languageEnglish
Title of host publicationProceedings of the Workshops of the EDBT/ICDT 2016 Joint Conference (EDBT/ICDT 2016)
Place of PublicationBordeaux, France
PublisherCEUR Workshop Proceedings (CEUR-WS.org)
Number of pages4
Publication statusPublished - 17 Feb 2016
EventEDBT/ICDT 2016 Joint Conference - Bordeaux, France
Duration: 15 Mar 201618 Mar 2016


ConferenceEDBT/ICDT 2016 Joint Conference
Abbreviated titleEDBT/ICDT 2016
Internet address


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