[INVITED] Practical near-data processing to evolve memory and storage devices into mainstream heterogeneous computing systems

Nam Sung Kim, Pankaj Mehra

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

Abstract

The capacity of memory and storage devices is expected to increase drastically with adoption of the forthcoming memory and integration technologies. This is a welcome improvement especially for datacenter servers running modern data-intensive applications. Nonetheless, for such servers to fully benefit from the increasing capacity, the bandwidth of interconnects between processors and these devices must also increase proportionally, which becomes ever costlier under unabating physical constraints. As a promising alternative to tackle this challenge costeffectively, a heterogeneous computing paradigm referred to as near-data processing (NDP) has emerged. However, NDP has not yet been widely adopted by the industry because of significant gaps between existing software stacks and demanded ones for NDP-capable memory and storage devices. Aiming to overcome the gaps, we propose to turn memory and storage devices into familiar heterogeneous distributed computing systems. Then, we demonstrate potentials of such computing systems for existing data-intensive applications with two recently implemented NDPcapable devices. Finally, we conclude with a practical blueprint to exploit the NDP-based computing systems for speeding up solving future computer-aided design and optimization problems.

Original languageEnglish (US)
Title of host publicationProceedings of the 56th Annual Design Automation Conference 2019, DAC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781450367257
DOIs
StatePublished - Jun 2 2019
Externally publishedYes
Event56th Annual Design Automation Conference, DAC 2019 - Las Vegas, United States
Duration: Jun 2 2019Jun 6 2019

Publication series

NameProceedings - Design Automation Conference
ISSN (Print)0738-100X

Conference

Conference56th Annual Design Automation Conference, DAC 2019
CountryUnited States
CityLas Vegas
Period6/2/196/6/19

Keywords

  • Memory
  • Near-data processing
  • Storage

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modeling and Simulation

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    Kim, N. S., & Mehra, P. (2019). [INVITED] Practical near-data processing to evolve memory and storage devices into mainstream heterogeneous computing systems. In Proceedings of the 56th Annual Design Automation Conference 2019, DAC 2019 [a22] (Proceedings - Design Automation Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1145/3316781.3323484