Proceedings of the 2016 International Conference on Mechatronics, Control and Automation Engineering

3D-Partition: A Design Space Exploration Tool for Three-Dimensional Network-on-Chip

Authors
Ji Wu
Corresponding Author
Ji Wu
Available Online July 2016.
DOI
10.2991/mcae-16.2016.28How to use a DOI?
Keywords
3D NoC; design space exploration; many-core processor design.
Abstract

In this paper, we introduce a compositive model of fabrication cost, network throughput and power consumption, to explore different 3D design options of 3D NoCs. The model allows partition of IPs across different dies in 3D stack. Based on the model an estimation tool, 3D-Partition, is created and validated by comparing its results with those obtained from NIRGAM. Effects of various 3D NoC architectures under different 3D IC partition strategies on cost, throughput and power consumption are explored to demonstrate the utility of the tool. It provides economic and performance reference to designing 3D ICs for volume production in the future.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Mechatronics, Control and Automation Engineering
Series
Advances in Engineering Research
Publication Date
July 2016
ISBN
10.2991/mcae-16.2016.28
ISSN
2352-5401
DOI
10.2991/mcae-16.2016.28How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ji Wu
PY  - 2016/07
DA  - 2016/07
TI  - 3D-Partition: A Design Space Exploration Tool for Three-Dimensional Network-on-Chip
BT  - Proceedings of the 2016 International Conference on Mechatronics, Control and Automation Engineering
PB  - Atlantis Press
SP  - 115
EP  - 118
SN  - 2352-5401
UR  - https://doi.org/10.2991/mcae-16.2016.28
DO  - 10.2991/mcae-16.2016.28
ID  - Wu2016/07
ER  -