Quantifying the Potential Benefits of On-chip Near-Data Computing in Manycore Processors

Jagadish B. Kotra, Diana Guttman, Nachiappan Chidamabaram, Mahmut T. Kandemir, Chita R. Das

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

8 Scopus citations

Abstract

Increasing data set sizes motivate for a shift of focus from computation-centric systems to data-centric systems, where data movement is treated as a first-class optimization metric. An example of this emerging paradigm is in-situ computing in largescale computing systems. Observing that data movement costs are increasing at an exponential rate even at a node level (as a node itself is fast-becoming a large manycore system), this paper provides a limit study of near-data computing within a manycore chip. Specifically, it makes the following two contributions. First, it quantifies the potential performance benefits of three incarnations of the near-data computing paradigm under the assumption of zero on-chip network latency and an infinite number of extra cores for offloading computations close to data they require. Our detailed experimental evaluation indicates that the most successful of these incarnations can boost the performance of the original execution by as much as 75%. The second contribution of this paper is an investigation of more realistic schemes that can approximate the potential savings achieved by perfect near-data computing. Our results demonstrate performance improvements ranging between 44% and 52%, over the original execution. We also discuss the pros and cons of each of these realistic schemes, and point to further research directions.

Original languageEnglish (US)
Title of host publicationProceedings - 25th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages198-209
Number of pages12
ISBN (Electronic)9781538627631
DOIs
StatePublished - Nov 13 2017
Event25th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2017 - Banff, Canada
Duration: Sep 20 2017Sep 22 2017

Publication series

NameProceedings - 25th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2017

Other

Other25th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2017
CountryCanada
CityBanff
Period9/20/179/22/17

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Modeling and Simulation

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