Skip to main navigation Skip to search Skip to main content

Response Time Analysis and Optimization of DAG Tasks Exploiting Mutually Exclusive Execution

  • Haochun Liang
  • , Xu Jiang*
  • , Nan Guan
  • , Qingqiang He
  • , Wang Yi
  • *Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

There is an increasing move towards implementing embedded real-time systems upon multiprocessors with parallel applications, which are usually modeled as Directed Acyclic Graphs (DAGs). Plentiful work has been presented to optimize the bound of Worst-Case Response Time (WCRT) since the cornerstone work proposed by Graham in 1969. However, all these works are developed on the basis of Graham's bound and failed to tackle the root of pessimism in it. In this work, we present a novel method to optimize the WCRT bound of a DAG task by designing mutually exclusive groups so that a sequential execution is enforced for some nodes, under which the problem of bounding WCRT becomes a problem of identifying a mutually exclusive path and thus does not suffer the pessimism in Graham's bound. Experiments are conducted to evaluate the performance of our method against other WCRT optimization approaches in the state-of-the-art. © 2023 IEEE.
Original languageEnglish
Title of host publication2023 60th ACM/IEEE Design Automation Conference (DAC)
PublisherIEEE
Number of pages6
ISBN (Electronic)9798350323481
ISBN (Print)9798350323498
DOIs
Publication statusPublished - 2023
Event60th ACM/IEEE Design Automation Conference (DAC 2023) - San Francisco, United States
Duration: 9 Jul 202313 Jul 2023
https://www.dac.com/About/Conference-Archive/60th-DAC-2023

Publication series

NameProceedings - Design Automation Conference
Volume2023-July
ISSN (Print)0738-100X

Conference

Conference60th ACM/IEEE Design Automation Conference (DAC 2023)
Abbreviated title60th DAC
PlaceUnited States
CitySan Francisco
Period9/07/2313/07/23
Internet address

RGC Funding Information

  • RGC-funded

Fingerprint

Dive into the research topics of 'Response Time Analysis and Optimization of DAG Tasks Exploiting Mutually Exclusive Execution'. Together they form a unique fingerprint.

Cite this