SCNoCs: An Adaptive Heterogeneous Multi-NoC with Selective Compression and Power Gating

Fan Jiang; Chengeng Li; Lin Chen; Jiaqi Liu; Wei Zhang; Jiang Xu

doi:10.1109/ASP-DAC58780.2024.10473870

SCNoCs: An Adaptive Heterogeneous Multi-NoC with Selective Compression and Power Gating

Fan Jiang
, Chengeng Li
, Lin Chen
, Jiaqi Liu
, Wei Zhang
, Jiang Xu^*

^*Corresponding author for this work

Hong Kong University of Science and Technology

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

1 Citation (Scopus)

Abstract

In-network compression has been proposed recently to support efficient communication. However, we find employing compression blindly cannot always pay off since de/compression leads to extra packet transmission delay. We thereby propose selective compression which compresses data adaptively based on network state and predicted compression ratio. Moreover, we observe that simply applying selective compression in a conventional single network is not energy efficient. Therefore, we propose SCNoCs, a heterogeneous Multi-NoC (Main-Net and HelperNet) architecture with the support of selective compression and power gating. SCNoCs can dynamically adjust the policy of selective compression and the utilization degree of the Helper-Net according to the network state at runtime. Experimental results show that our selective compression outperforms conventional compression by 1.5 × . Besides, our proposed SCNoCs achieves comparable performance while reducing energy consumption by 43.4%, compared with the baseline.

Original language	English
Title of host publication	ASP-DAC 2024 - 29th Asia and South Pacific Design Automation Conference, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	13-18
Number of pages	6
ISBN (Electronic)	9798350393545
DOIs	https://doi.org/10.1109/ASP-DAC58780.2024.10473870
Publication status	Published - 2024
Externally published	Yes
Event	29th Asia and South Pacific Design Automation Conference, ASP-DAC 2024 - Incheon, Korea, Republic of Duration: 22 Jan 2024 → 25 Jan 2024

Publication series

Name	Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC

Conference

Conference	29th Asia and South Pacific Design Automation Conference, ASP-DAC 2024
Country/Territory	Korea, Republic of
City	Incheon
Period	22/01/24 → 25/01/24

UN SDGs

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

SDG 7 Affordable and Clean Energy

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10.1109/ASP-DAC58780.2024.10473870

Cite this

Jiang, F., Li, C., Chen, L., Liu, J., Zhang, W., & Xu, J. (2024). SCNoCs: An Adaptive Heterogeneous Multi-NoC with Selective Compression and Power Gating. In ASP-DAC 2024 - 29th Asia and South Pacific Design Automation Conference, Proceedings (pp. 13-18). (Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASP-DAC58780.2024.10473870

Jiang, Fan ; Li, Chengeng ; Chen, Lin et al. / SCNoCs : An Adaptive Heterogeneous Multi-NoC with Selective Compression and Power Gating. ASP-DAC 2024 - 29th Asia and South Pacific Design Automation Conference, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2024. pp. 13-18 (Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC).

@inproceedings{14178a6d79074c61937f57836b0d3344,

title = "SCNoCs: An Adaptive Heterogeneous Multi-NoC with Selective Compression and Power Gating",

abstract = "In-network compression has been proposed recently to support efficient communication. However, we find employing compression blindly cannot always pay off since de/compression leads to extra packet transmission delay. We thereby propose selective compression which compresses data adaptively based on network state and predicted compression ratio. Moreover, we observe that simply applying selective compression in a conventional single network is not energy efficient. Therefore, we propose SCNoCs, a heterogeneous Multi-NoC (Main-Net and HelperNet) architecture with the support of selective compression and power gating. SCNoCs can dynamically adjust the policy of selective compression and the utilization degree of the Helper-Net according to the network state at runtime. Experimental results show that our selective compression outperforms conventional compression by 1.5 × . Besides, our proposed SCNoCs achieves comparable performance while reducing energy consumption by 43.4\%, compared with the baseline.",

author = "Fan Jiang and Chengeng Li and Lin Chen and Jiaqi Liu and Wei Zhang and Jiang Xu",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 29th Asia and South Pacific Design Automation Conference, ASP-DAC 2024 ; Conference date: 22-01-2024 Through 25-01-2024",

year = "2024",

doi = "10.1109/ASP-DAC58780.2024.10473870",

language = "English",

series = "Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC",

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

pages = "13--18",

booktitle = "ASP-DAC 2024 - 29th Asia and South Pacific Design Automation Conference, Proceedings",

}

Jiang, F, Li, C, Chen, L, Liu, J, Zhang, W & Xu, J 2024, SCNoCs: An Adaptive Heterogeneous Multi-NoC with Selective Compression and Power Gating. in ASP-DAC 2024 - 29th Asia and South Pacific Design Automation Conference, Proceedings. Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC, Institute of Electrical and Electronics Engineers Inc., pp. 13-18, 29th Asia and South Pacific Design Automation Conference, ASP-DAC 2024, Incheon, Korea, Republic of, 22/01/24. https://doi.org/10.1109/ASP-DAC58780.2024.10473870

SCNoCs: An Adaptive Heterogeneous Multi-NoC with Selective Compression and Power Gating. / Jiang, Fan; Li, Chengeng; Chen, Lin et al.
ASP-DAC 2024 - 29th Asia and South Pacific Design Automation Conference, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2024. p. 13-18 (Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - SCNoCs

T2 - 29th Asia and South Pacific Design Automation Conference, ASP-DAC 2024

AU - Jiang, Fan

AU - Li, Chengeng

AU - Chen, Lin

AU - Liu, Jiaqi

AU - Zhang, Wei

AU - Xu, Jiang

PY - 2024

Y1 - 2024

N2 - In-network compression has been proposed recently to support efficient communication. However, we find employing compression blindly cannot always pay off since de/compression leads to extra packet transmission delay. We thereby propose selective compression which compresses data adaptively based on network state and predicted compression ratio. Moreover, we observe that simply applying selective compression in a conventional single network is not energy efficient. Therefore, we propose SCNoCs, a heterogeneous Multi-NoC (Main-Net and HelperNet) architecture with the support of selective compression and power gating. SCNoCs can dynamically adjust the policy of selective compression and the utilization degree of the Helper-Net according to the network state at runtime. Experimental results show that our selective compression outperforms conventional compression by 1.5 × . Besides, our proposed SCNoCs achieves comparable performance while reducing energy consumption by 43.4%, compared with the baseline.

AB - In-network compression has been proposed recently to support efficient communication. However, we find employing compression blindly cannot always pay off since de/compression leads to extra packet transmission delay. We thereby propose selective compression which compresses data adaptively based on network state and predicted compression ratio. Moreover, we observe that simply applying selective compression in a conventional single network is not energy efficient. Therefore, we propose SCNoCs, a heterogeneous Multi-NoC (Main-Net and HelperNet) architecture with the support of selective compression and power gating. SCNoCs can dynamically adjust the policy of selective compression and the utilization degree of the Helper-Net according to the network state at runtime. Experimental results show that our selective compression outperforms conventional compression by 1.5 × . Besides, our proposed SCNoCs achieves comparable performance while reducing energy consumption by 43.4%, compared with the baseline.

UR - https://www.scopus.com/pages/publications/85189304367

U2 - 10.1109/ASP-DAC58780.2024.10473870

DO - 10.1109/ASP-DAC58780.2024.10473870

M3 - Conference Proceeding

AN - SCOPUS:85189304367

T3 - Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC

SP - 13

EP - 18

BT - ASP-DAC 2024 - 29th Asia and South Pacific Design Automation Conference, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 22 January 2024 through 25 January 2024

ER -

Jiang F, Li C, Chen L, Liu J, Zhang W, Xu J. SCNoCs: An Adaptive Heterogeneous Multi-NoC with Selective Compression and Power Gating. In ASP-DAC 2024 - 29th Asia and South Pacific Design Automation Conference, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2024. p. 13-18. (Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC). doi: 10.1109/ASP-DAC58780.2024.10473870

SCNoCs: An Adaptive Heterogeneous Multi-NoC with Selective Compression and Power Gating

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