A versatile and flexible chiplet-based system design for heterogeneous manycore architectures

Hao Zheng, Ke Wang, Ahmed Louri

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

6 Scopus citations

Abstract

Heterogeneous manycore architectures are deployed to simultaneously run multiple and diverse applications. This requires various computing capabilities (CPUs, GPUs, and accelerators), and an efficient network-on-chip (NoC) architecture to concurrently handle diverse application communication behavior. However, supporting the concurrent communication requirements of diverse applications is challenging due to the dynamic application mapping, the complexity of handling distinct communication patterns and limited on-chip resources. In this paper, we propose Adapt-NoC, a versatile and flexible NoC architecture for chiplet-based manycore architectures, consisting of adaptable routers and links. Adapt-NoC can dynamically allocate disjoint regions of the NoC, called subNoCs, for concurrently-running applications, each of which can be optimized for different communication behavior. The adaptable routers and links are capable of providing various subNoC topologies, satisfying different latency and bandwidth requirements of various traffic patterns (e.g. all-to-all, one-to-many). Full system simulation shows that AdaptNoC can achieve 31% latency reduction, 24% energy saving and 10% execution time reduction on average, when compared to prior designs.

Original languageEnglish (US)
Title of host publication2020 57th ACM/IEEE Design Automation Conference, DAC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781450367257
DOIs
StatePublished - Jul 2020
Externally publishedYes
Event57th ACM/IEEE Design Automation Conference, DAC 2020 - Virtual, San Francisco, United States
Duration: Jul 20 2020Jul 24 2020

Publication series

NameProceedings - Design Automation Conference
Volume2020-July
ISSN (Print)0738-100X

Conference

Conference57th ACM/IEEE Design Automation Conference, DAC 2020
Country/TerritoryUnited States
CityVirtual, San Francisco
Period7/20/207/24/20

ASJC Scopus subject areas

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

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