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

doi:10.1145/3195970.3196052

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 proceeding › Conference contribution

7 Scopus citations

Abstract

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 language	English (US)
Title of host publication	Proceedings of the 55th Annual Design Automation Conference, DAC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781450357005
DOIs	https://doi.org/10.1145/3195970.3196052
State	Published - Jun 24 2018
Event	55th Annual Design Automation Conference, DAC 2018 - San Francisco, United States Duration: Jun 24 2018 → Jun 29 2018

Publication series

Name	Proceedings - Design Automation Conference
Volume	Part F137710
ISSN (Print)	0738-100X

Other

Other	55th Annual Design Automation Conference, DAC 2018
Country/Territory	United States
City	San Francisco
Period	6/24/18 → 6/29/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

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

Access to Document

10.1145/3195970.3196052

Cite this

Zhang, H., Rengasamy, P. V., Nachiappan, N. C., Zhao, S., Sivasubramaniam, A., Kandemir, M. T., & Das, C. R. (2018). FLOSS: FLOw sensitive scheduling on mobile platforms. In Proceedings of the 55th Annual Design Automation Conference, DAC 2018 Article a173 (Proceedings - Design Automation Conference; Vol. Part F137710). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1145/3195970.3196052

@inproceedings{9e4f080d55de4da09994afab47d195f2,

title = "FLOSS: FLOw sensitive scheduling on mobile platforms",

abstract = "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.",

author = "Haibo Zhang and Rengasamy, \{Prasanna Venkatesh\} and Nachiappan, \{Nachiappan Chidambaram\} and Shulin Zhao and Anand Sivasubramaniam and Kandemir, \{Mahmut T.\} and Das, \{Chita R.\}",

note = "Publisher Copyright: {\textcopyright} 2018 Association for Computing Machinery.; 55th Annual Design Automation Conference, DAC 2018 ; Conference date: 24-06-2018 Through 29-06-2018",

year = "2018",

month = jun,

day = "24",

doi = "10.1145/3195970.3196052",

language = "English (US)",

isbn = "9781450357005",

series = "Proceedings - Design Automation Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings of the 55th Annual Design Automation Conference, DAC 2018",

address = "United States",

}

Zhang, H, Rengasamy, PV, Nachiappan, NC, Zhao, S, Sivasubramaniam, A , Kandemir, MT & Das, CR 2018, FLOSS: FLOw sensitive scheduling on mobile platforms. in Proceedings of the 55th Annual Design Automation Conference, DAC 2018., a173, Proceedings - Design Automation Conference, vol. Part F137710, Institute of Electrical and Electronics Engineers Inc., 55th Annual Design Automation Conference, DAC 2018, San Francisco, United States, 6/24/18. https://doi.org/10.1145/3195970.3196052

FLOSS: FLOw sensitive scheduling on mobile platforms. / Zhang, Haibo; Rengasamy, Prasanna Venkatesh; Nachiappan, Nachiappan Chidambaram et al.
Proceedings of the 55th Annual Design Automation Conference, DAC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. a173 (Proceedings - Design Automation Conference; Vol. Part F137710).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - FLOSS

T2 - 55th Annual Design Automation Conference, DAC 2018

AU - Zhang, Haibo

AU - Rengasamy, Prasanna Venkatesh

AU - Nachiappan, Nachiappan Chidambaram

AU - Zhao, Shulin

AU - Sivasubramaniam, Anand

AU - Kandemir, Mahmut T.

AU - Das, Chita R.

PY - 2018/6/24

Y1 - 2018/6/24

N2 - 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.

AB - 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.

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U2 - 10.1145/3195970.3196052

DO - 10.1145/3195970.3196052

M3 - Conference contribution

AN - SCOPUS:85049585856

SN - 9781450357005

T3 - Proceedings - Design Automation Conference

BT - Proceedings of the 55th Annual Design Automation Conference, DAC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 24 June 2018 through 29 June 2018

ER -

FLOSS: FLOw sensitive scheduling on mobile platforms

Abstract

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UN SDGs

All Science Journal Classification (ASJC) codes

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