journal article·2023-03Open access

Power, Performance, Area, and Cost Analysis of Face-to-Face-Bonded 3-D ICs

Anthony Agnesina, Moritz Brunion, Jinwoo Kim, Alberto Garcia-Ortiz, Dragomir Milojevic, Francky Catthoor, Gioele Mirabelli, Manu Komalan, Sung Kyu Lim

Abstract

This article presents a power, performance, area, and cost (PPAC) analysis for large-scale 3-D processor designs based on face-to-face wafer-to-wafer (W2W) and collective die-to-wafer (Co-D2W) bonding technologies. From evaluating our cost model on a comprehensive portfolio of technology nodes, we investigate a typically disregarded opportunity in 3-D through diverse computer-age statistical methods: area savings due to buffer savings and better routability, offering unforeseen, and considerable cost savings. We explore the viability of this factor with the feedback of a state-of-the-art 3-D memory-on-logic implementation flow. We show how this affects the PPAC of full-chip GDS implementations of a large-scale manycore processor design. Experiments show that our memory-on-logic 3-D implementation offers 7% silicon area savings, resulting in a 53.5% footprint reduction. We also obtained a 40% power-performance-cost improvement compared with the 2-D counterparts.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: 3D IC and TSV technologies · VLSI and FPGA Design Techniques · VLSI and Analog Circuit Testing

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA

Institute of Electrodynamics and Microelectronics, University of Bremen, Bremen, Germany

IMEC, Leuven, Belgium

References (30)

Show source-provided references
1. 10.1109/ISLPED52811.2021.950247510.1109/ISLPED52811.2021.9502475 ↗
2. 10.1109/ESTC.2014.696273010.1109/ESTC.2014.6962730 ↗
3. Scalable, sub 2 μm pitch, Cu/SiCN to Cu/SiCN hybrid wafer-to-wafer bonding technology
4. 10.23919/IWLPC.2018.857329610.23919/IWLPC.2018.8573296 ↗
5. 10.4071/2010DPC-wa1410.4071/2010DPC-wa14 ↗
6. 10.1145/2966986.296704410.1145/2966986.2967044 ↗
7. 10.1109/ASPDAC.2009.479648610.1109/ASPDAC.2009.4796486 ↗
8. 10.1109/ICCAD.2010.565375310.1109/ICCAD.2010.5653753 ↗
9. 10.1117/12.204631010.1117/12.2046310 ↗
10. 10.1117/12.208608510.1117/12.2086085 ↗
11. Standard-cell design architecture options below 5 nm node: The ultimate scaling of FinFET and nanosheet
12. Van Rossum · 2009
13. 2023
14. 10.1109/TSM.2004.83665610.1109/TSM.2004.836656 ↗
15. 10.1109/101.1723710.1109/101.17237 ↗
16. 10.1109/5.70552510.1109/5.705525 ↗
17. Exploring multi-dimensional spaces: A comparison of Latin hypercube and quasi Monte Carlo sampling techniques
18. Quasi-Monte Carlo sampling
19. 10.4000/annuaire-cdf.1544110.4000/annuaire-cdf.15441 ↗
20. 10.1080/00401706.1991.1048480410.1080/00401706.1991.10484804 ↗
21. 10.1214/00905360400000104810.1214/009053604000001048 ↗
22. Owen · 2013
23. Interpretable random forests via rule extraction
24. 10.1023/A:101093340432410.1023/A:1010933404324 ↗
25. 10.23919/DATE54114.2022.977472610.23919/DATE54114.2022.9774726 ↗
26. 10.1145/3531437.353970210.1145/3531437.3539702 ↗
28. OpenPiton+ Ariane: The first open-source, SMP Linux-booting RISC-V system scaling from one to many cores
29. 10.23919/VLSICircuits52068.2021.949242110.23919/VLSICircuits52068.2021.9492421 ↗
30. 10.23919/DATE48585.2020.911629710.23919/DATE48585.2020.9116297 ↗