Power Management of Monolithic 3D Manycore Chips with Inter-tier Process Variations

Author:

Chatterjee Anwesha1,Musavvir Shouvik1,Kim Ryan Gary1,Doppa Janardhan Rao2,Pande Partha Pratim2

Affiliation:

1. Colorado State University, Fort Collins, Colorado, USA

2. Washington State University, Pullman, Washington, USA

Abstract

Voltage/frequency island (VFI)-based power management is a popular methodology for designing energy-efficient manycore architectures without incurring significant performance overhead. However, monolithic 3D (M3D) integration has emerged as an enabling technology to design high-performance and energy-efficient circuits and systems. The smaller dimension of vertical monolithic inter-tier vias (MIVs) lowers effective wirelength and allows high integration density. However, sequential fabrication of M3D layers introduces inter-tier process variations that affect the performance of transistors and interconnects in different layers. Therefore, VFI-based power management in M3D manycore systems requires the consideration of inter-tier process variation effects. In this work, we present the design of an imitation learning (IL)-enabled VFI-based power-management strategy that considers the inter-tier process-variation effects in M3D manycore chips. We demonstrate that the IL-based power-management strategy can be fine-tuned based on the M3D characteristics. Our policy generates suitable V/F levels based on the computation and communication characteristics of the system for both process-oblivious and process-aware configurations. We show that the proposed process-variation-aware IL-based VFI implementation for M3D manycore chips lowers the overall energy-delay-product (EDP) by up to 16.2% on average compared to an ideal M3D system with no M3D process variations.

Funder

Army Research Office

NSF

Publisher

Association for Computing Machinery (ACM)

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Software

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Dynamic Power Management in Large Manycore Systems: A Learning-to-Search Framework;ACM Transactions on Design Automation of Electronic Systems;2023-09-08

2. Aggressive GPU cache bypassing with monolithic 3D-based NoC;The Journal of Supercomputing;2022-10-21

3. Low-power and variation-aware approximate arithmetic units for Image Processing Applications;AEU - International Journal of Electronics and Communications;2021-08

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