FLOSS: FLOw sensitive scheduling on mobile platforms

Haibo Zhang, Prasanna Venkatesh Rengasamy, Nachiappan Chidambaram Nachiappan, Shulin Zhao, Anand Sivasubramaniam, Mahmut T. Kandemir, Chita R. Das

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

8 Scopus citations


Today's mobile platforms have grown in sophistication to run a wide variety of frame-based applications. To deliver better QoS and energy efficiency, these applications utilize multi-flow execution, which exploits hardware-level parallelism across participating accelerators in the SoC. Our study shows that multi-flow execution increases memory pressure, and motivates us to propose a rate-based memoryscheduling scheme, called FLOSS, that considers a flow, individual frames of a flow, and any sharing of IPs across concurrent flows to schedule memory requests. Experimental results indicate that FLOSS provides 12% QoS improvement over baseline FR-FCFS scheme, and outperforms two QoS-aware schemes in multi-flow execution scenarios.

Original languageEnglish (US)
Title of host publicationProceedings of the 55th Annual Design Automation Conference, DAC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781450357005
StatePublished - Jun 24 2018
Event55th Annual Design Automation Conference, DAC 2018 - San Francisco, United States
Duration: Jun 24 2018Jun 29 2018

Publication series

NameProceedings - Design Automation Conference
VolumePart F137710
ISSN (Print)0738-100X


Other55th Annual Design Automation Conference, DAC 2018
Country/TerritoryUnited States
CitySan Francisco

All Science Journal Classification (ASJC) codes

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


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