Characterizing diverse handheld apps for customized hardware acceleration

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

doi:10.1109/IISWC.2017.8167776

Characterizing diverse handheld apps for customized hardware acceleration

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

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

12 Scopus citations

Abstract

Current handhelds incorporate a variety of acceler-ators/IPs for improving their performance and energy efficiency. While these IPs are extremely useful for accelerating parts of a computation, the CPU still expends a significant amount of time and energy in the overall execution. Coarse grain customized hardware of Android APIs and methods, though widely useful, is also not an option due to the high hardware costs. Instead, we propose a fine-grain sequence of instructions, called a Load-to-Store (LOST) sequence, for hardware customization. A LOST sequence starts with a load and ends with a store, including dependent instructions in between. Unlike prior approaches to customization, a LOST sequence is defined based on a sequence of opcodes rather than a sequence of PC addresses or operands. We identify such commonly occurring LOST sequences within and across several popular apps and propose a design to integrate these customized hardware sequences as macro functional units into the CPU data-path. Detailed evaluation shows that such customized LOST sequences can provide an average of 25% CPU speedup, or 12% speedup for the entire system.

Original language	English (US)
Title of host publication	Proceedings of the 2017 IEEE International Symposium on Workload Characterization, IISWC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	187-196
Number of pages	10
ISBN (Electronic)	9781538612323
DOIs	https://doi.org/10.1109/IISWC.2017.8167776
State	Published - Dec 5 2017
Event	2017 IEEE International Symposium on Workload Characterization, IISWC 2017 - Seattle, United States Duration: Oct 1 2017 → Oct 3 2017

Publication series

Name	Proceedings of the 2017 IEEE International Symposium on Workload Characterization, IISWC 2017
Volume	2017-January

Other

Other	2017 IEEE International Symposium on Workload Characterization, IISWC 2017
Country/Territory	United States
City	Seattle
Period	10/1/17 → 10/3/17

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

Hardware and Architecture
Information Systems and Management

Access to Document

10.1109/IISWC.2017.8167776

Cite this

Rengasamy, P. V., Zhang, H., Nachiappan, N. C., Zhao, S., Sivasubramaniam, A., Kandemir, M. T., & Das, C. R. (2017). Characterizing diverse handheld apps for customized hardware acceleration. In Proceedings of the 2017 IEEE International Symposium on Workload Characterization, IISWC 2017 (pp. 187-196). (Proceedings of the 2017 IEEE International Symposium on Workload Characterization, IISWC 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IISWC.2017.8167776

Rengasamy, Prasanna Venkatesh ; Zhang, Haibo ; Nachiappan, Nachiappan Chidambaram et al. / Characterizing diverse handheld apps for customized hardware acceleration. Proceedings of the 2017 IEEE International Symposium on Workload Characterization, IISWC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 187-196 (Proceedings of the 2017 IEEE International Symposium on Workload Characterization, IISWC 2017).

@inproceedings{72e8318595af4efc86d3138d550363dd,

title = "Characterizing diverse handheld apps for customized hardware acceleration",

abstract = "Current handhelds incorporate a variety of acceler-ators/IPs for improving their performance and energy efficiency. While these IPs are extremely useful for accelerating parts of a computation, the CPU still expends a significant amount of time and energy in the overall execution. Coarse grain customized hardware of Android APIs and methods, though widely useful, is also not an option due to the high hardware costs. Instead, we propose a fine-grain sequence of instructions, called a Load-to-Store (LOST) sequence, for hardware customization. A LOST sequence starts with a load and ends with a store, including dependent instructions in between. Unlike prior approaches to customization, a LOST sequence is defined based on a sequence of opcodes rather than a sequence of PC addresses or operands. We identify such commonly occurring LOST sequences within and across several popular apps and propose a design to integrate these customized hardware sequences as macro functional units into the CPU data-path. Detailed evaluation shows that such customized LOST sequences can provide an average of 25\% CPU speedup, or 12\% speedup for the entire system.",

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

note = "Funding Information: This research is supported in part by NSF grants 1213052, 1302557, 1317560, 1320478, 1409095, 1439021, 1439057, 1626251, 1629129, 1629915, 1714389, 1526750, and Intel. We would also like to thank Jack Sampson for his feedback on this paper.; 2017 IEEE International Symposium on Workload Characterization, IISWC 2017 ; Conference date: 01-10-2017 Through 03-10-2017",

year = "2017",

month = dec,

day = "5",

doi = "10.1109/IISWC.2017.8167776",

language = "English (US)",

series = "Proceedings of the 2017 IEEE International Symposium on Workload Characterization, IISWC 2017",

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

pages = "187--196",

booktitle = "Proceedings of the 2017 IEEE International Symposium on Workload Characterization, IISWC 2017",

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}

Rengasamy, PV, Zhang, H, Nachiappan, NC, Zhao, S, Sivasubramaniam, A , Kandemir, MT & Das, CR 2017, Characterizing diverse handheld apps for customized hardware acceleration. in Proceedings of the 2017 IEEE International Symposium on Workload Characterization, IISWC 2017. Proceedings of the 2017 IEEE International Symposium on Workload Characterization, IISWC 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 187-196, 2017 IEEE International Symposium on Workload Characterization, IISWC 2017, Seattle, United States, 10/1/17. https://doi.org/10.1109/IISWC.2017.8167776

Characterizing diverse handheld apps for customized hardware acceleration. / Rengasamy, Prasanna Venkatesh; Zhang, Haibo; Nachiappan, Nachiappan Chidambaram et al.
Proceedings of the 2017 IEEE International Symposium on Workload Characterization, IISWC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 187-196 (Proceedings of the 2017 IEEE International Symposium on Workload Characterization, IISWC 2017; Vol. 2017-January).

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

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T1 - Characterizing diverse handheld apps for customized hardware acceleration

AU - Rengasamy, Prasanna Venkatesh

AU - Zhang, Haibo

AU - Nachiappan, Nachiappan Chidambaram

AU - Zhao, Shulin

AU - Sivasubramaniam, Anand

AU - Kandemir, Mahmut T.

AU - Das, Chita R.

N1 - Funding Information: This research is supported in part by NSF grants 1213052, 1302557, 1317560, 1320478, 1409095, 1439021, 1439057, 1626251, 1629129, 1629915, 1714389, 1526750, and Intel. We would also like to thank Jack Sampson for his feedback on this paper.

PY - 2017/12/5

Y1 - 2017/12/5

N2 - Current handhelds incorporate a variety of acceler-ators/IPs for improving their performance and energy efficiency. While these IPs are extremely useful for accelerating parts of a computation, the CPU still expends a significant amount of time and energy in the overall execution. Coarse grain customized hardware of Android APIs and methods, though widely useful, is also not an option due to the high hardware costs. Instead, we propose a fine-grain sequence of instructions, called a Load-to-Store (LOST) sequence, for hardware customization. A LOST sequence starts with a load and ends with a store, including dependent instructions in between. Unlike prior approaches to customization, a LOST sequence is defined based on a sequence of opcodes rather than a sequence of PC addresses or operands. We identify such commonly occurring LOST sequences within and across several popular apps and propose a design to integrate these customized hardware sequences as macro functional units into the CPU data-path. Detailed evaluation shows that such customized LOST sequences can provide an average of 25% CPU speedup, or 12% speedup for the entire system.

AB - Current handhelds incorporate a variety of acceler-ators/IPs for improving their performance and energy efficiency. While these IPs are extremely useful for accelerating parts of a computation, the CPU still expends a significant amount of time and energy in the overall execution. Coarse grain customized hardware of Android APIs and methods, though widely useful, is also not an option due to the high hardware costs. Instead, we propose a fine-grain sequence of instructions, called a Load-to-Store (LOST) sequence, for hardware customization. A LOST sequence starts with a load and ends with a store, including dependent instructions in between. Unlike prior approaches to customization, a LOST sequence is defined based on a sequence of opcodes rather than a sequence of PC addresses or operands. We identify such commonly occurring LOST sequences within and across several popular apps and propose a design to integrate these customized hardware sequences as macro functional units into the CPU data-path. Detailed evaluation shows that such customized LOST sequences can provide an average of 25% CPU speedup, or 12% speedup for the entire system.

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DO - 10.1109/IISWC.2017.8167776

M3 - Conference contribution

AN - SCOPUS:85045392279

T3 - Proceedings of the 2017 IEEE International Symposium on Workload Characterization, IISWC 2017

SP - 187

EP - 196

BT - Proceedings of the 2017 IEEE International Symposium on Workload Characterization, IISWC 2017

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ER -

Rengasamy PV, Zhang H, Nachiappan NC, Zhao S, Sivasubramaniam A , Kandemir MT et al. Characterizing diverse handheld apps for customized hardware acceleration. In Proceedings of the 2017 IEEE International Symposium on Workload Characterization, IISWC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 187-196. (Proceedings of the 2017 IEEE International Symposium on Workload Characterization, IISWC 2017). doi: 10.1109/IISWC.2017.8167776

Characterizing diverse handheld apps for customized hardware acceleration

Abstract

Publication series

Other

UN SDGs

All Science Journal Classification (ASJC) codes

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