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Power efficient photonic network-on-chip for a scalable GPU

Authors:

Janibul Bashir,

Khushal Sethi,

Smruti R. SarangiAuthors Info & Claims

NOCS '19: Proceedings of the 13th IEEE/ACM International Symposium on Networks-on-Chip

Article No.: 18, Pages 1 - 2

https://doi.org/10.1145/3313231.3352370

Published: 17 October 2019 Publication History

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Abstract

In this paper, we propose an energy efficient and scalable optical interconnect for GPUs. We intelligently divide the components in a GPU into different types of clusters and enable these clusters to communicate optically with each other. In order to reduce the network delay, we use separate networks for coherence and non-coherence traffic. Moreover, to reduce the static power consumption in optical interconnects, we modulate the off-chip light source by proposing a novel GPU specific prediction scheme for on-chip network traffic. Using our design, we were able to increase the performance by 17% and achieve a 65% reduction in ED² as compared to a state-of-the-art optical topology.

References

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J. Bashir, E. Peter, and S. R. Sarangi. 2019. BigBus: A Scalable Optical Interconnect. ACM JETC 15, 8 (2019), 8:1--8:24.

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J. Bashir, E. Peter, and S. R. Sarangi. 2019. A Survey of On-Chip Optical Interconnects. ACM Comput. Surv. 51, 6 (Jan. 2019), 115:1--115:34.

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S. Che, M. Boyer, J. Meng, D. Tarjan, J W Sheaffer, S. Lee, and K. Skadron. 2009. Rodinia: A benchmark suite for heterogeneous computing. In IISWC.

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G. Malhotra, S. Goel, and S. R. Sarangi. 2014. Gputejas: A parallel simulator for gpu architectures. In HiPC.

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A. K. Ziabari, J. L. Abellán, R. Ubal, C. Chen, A. Joshi, and D. Kaeli. 2015. Leveraging silicon-photonic noc for designing scalable gpus. In ICS.

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Cited By

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Bashir JSarangi S(2020)GPUOPTACM Journal on Emerging Technologies in Computing Systems10.1145/341685017:1(1-26)Online publication date: 22-Sep-2020
https://dl.acm.org/doi/10.1145/3416850
Varghese GNurfiana (2020)Computational Intelligence in Photonics Technology and Optical Networks: A Survey and Future Perspectives2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)10.1109/CITISIA50690.2020.9371775(1-10)Online publication date: 25-Nov-2020
https://doi.org/10.1109/CITISIA50690.2020.9371775

Power efficient photonic network-on-chip for a scalable GPU
1. Computer systems organization
  1. Architectures
    1. Parallel architectures

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Information & Contributors

Information

Published In

NOCS '19: Proceedings of the 13th IEEE/ACM International Symposium on Networks-on-Chip

October 2019

161 pages

ISBN:9781450367004

DOI:10.1145/3313231

General Chairs:
Paul Bogdan
University of Southern California
,
Cristina Silvano
Politecnico di Milano

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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IEEE Circuits and Systems Society
IEEE-CEDA

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 October 2019

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Semiconductor Research Corporation

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NOCS '19

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NOCS '19: International Symposium on Networks-on-Chip

October 17 - 18, 2019

New York, New York

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Overall Acceptance Rate 14 of 44 submissions, 32%

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Bashir JSarangi S(2020)GPUOPTACM Journal on Emerging Technologies in Computing Systems10.1145/341685017:1(1-26)Online publication date: 22-Sep-2020
https://dl.acm.org/doi/10.1145/3416850
Varghese GNurfiana (2020)Computational Intelligence in Photonics Technology and Optical Networks: A Survey and Future Perspectives2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)10.1109/CITISIA50690.2020.9371775(1-10)Online publication date: 25-Nov-2020
https://doi.org/10.1109/CITISIA50690.2020.9371775

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Silicon-photonic network architectures for scalable, power-efficient multi-chip systems

Towards High-Performance and Power-Efficient Optical NoCs Using Silicon-in-Silica Photonic Components