Hierarchical very-large-scale integration (VLSI) flows are an understudied yet critical approach to achieving design closure at giga-scale complexity and gigahertz frequency targets. This article proposes a novel hierarchical physical design flow enabling the building of high-density and commercial-quality two-Tier face-To-face-bonded hierarchical 3-D ICs. Complemented with an automated floorplanning solution, the flow allows for system-level physical and architectural exploration of 3-D designs. As a result, we significantly reduce the associated manufacturing cost compared to existing 3-D implementation flows and, for the first time, achieve cost competitiveness against the 2-D reference in large modern designs. Experimental results on complex industrial and open manycore processors demonstrate in two advanced nodes that the proposed flow provides major power, performance, and area/cost (PPAC) improvements of 1.2-2.2× compared with 2-D, where all metrics are improved simultaneously, including up to 20% power savings.
Bethur, N.E., Agnesina, A., Brunion, M., Garcia-Ortiz, A., Catthoor, F., Milojevic, D., et al. (2024). Hier-3D: A Methodology for Physical Hierarchy Exploration of 3-D ICs. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 43(7), 1957-1970 [10.1109/TCAD.2023.3342753].
Hier-3D: A Methodology for Physical Hierarchy Exploration of 3-D ICs
Benini L.;
2024
Abstract
Hierarchical very-large-scale integration (VLSI) flows are an understudied yet critical approach to achieving design closure at giga-scale complexity and gigahertz frequency targets. This article proposes a novel hierarchical physical design flow enabling the building of high-density and commercial-quality two-Tier face-To-face-bonded hierarchical 3-D ICs. Complemented with an automated floorplanning solution, the flow allows for system-level physical and architectural exploration of 3-D designs. As a result, we significantly reduce the associated manufacturing cost compared to existing 3-D implementation flows and, for the first time, achieve cost competitiveness against the 2-D reference in large modern designs. Experimental results on complex industrial and open manycore processors demonstrate in two advanced nodes that the proposed flow provides major power, performance, and area/cost (PPAC) improvements of 1.2-2.2× compared with 2-D, where all metrics are improved simultaneously, including up to 20% power savings.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.