SIMD-MIMD cocktail in a hybrid memory glass: Shaken, not stirred

Mikhail Zarubin, Patrick Damme, Alexander Krause, Dirk Habich, Wolfgang Lehner

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

Abstract

Hybrid memory systems consisting of DRAM and NVRAM offer a great opportunity for column-oriented data systems to persistently store and to efficiently process columnar data completely in main memory. While vectorization (SIMD) of query operators is state-of-the-art to increase the single-thread performance, it has to be combined with thread-level parallelism (MIMD) to satisfy growing needs for higher performance and scalability. However, it is not well investigated how such a SIMD-MIMD interplay could be leveraged efficiently in hybrid memory systems. On the one hand, we deliver an extensive experimental evaluation of typical workloads on columnar data in this paper. We reveal that the choice of the most performant SIMD version differs greatly for both memory types. Moreover, we show that the throughput of concurrent queries can be boosted (up to 2x) when combining various SIMD flavors in a multi-threaded execution. On the other hand, to enable that optimization, we propose an adaptive SIMD-MIMD cocktail approach incurring only a negligible runtime overhead.

Originalspracheenglisch
TitelSYSTOR 2021 - Proceedings of the 14th ACM International Conference on Systems and Storage
Herausgeber (Verlag)Association of Computing Machinery
ISBN (elektronisch)9781450383981
DOIs
PublikationsstatusVeröffentlicht - 14 Juni 2021
Veranstaltung14th ACM International Conference on Systems and Storage, SYSTOR 2021 - Virtual, Online, Israel
Dauer: 14 Juni 202116 Juni 2021

Publikationsreihe

NameSYSTOR 2021 - Proceedings of the 14th ACM International Conference on Systems and Storage

Konferenz

Konferenz14th ACM International Conference on Systems and Storage, SYSTOR 2021
Land/GebietIsrael
OrtVirtual, Online
Zeitraum14/06/2116/06/21

ASJC Scopus subject areas

  • Elektrotechnik und Elektronik
  • Angewandte Informatik
  • Hardware und Architektur
  • Software

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