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◆ IEEE Transactions on Computers2026-02-11· Cache

Optimization and Benchmarking of Monolithically Stackable Gain Cell Memory for Last-Level Cache

Faaiq Waqar, Jungyoun Kwak, Junmo Lee, Omkar Phadke, Minji Shon, Mohammadhosein Gholamrezaei, Kevin Skadron, Shimeng Yu

原始摘要(英文原文)· Original abstract
The Last Level Cache (LLC) is the processor’s critical bridge between on-chip and off-chip memory levels - optimized for high density, high bandwidth, and low operation energy. To date, high-density (HD) SRAM has been the conventional device of choice; however, with the slowing of transistor scaling, as reflected in the industry’s almost identical HD SRAM cell size from 5 nm to 3 nm, alternative solutions such as 3D stacking with advanced packaging (i.e., hybrid bonding) are pursued (as demonstrated in AMD’s V-cache). Escalating data demands necessitate ultra-large on-chip caches to decrease costly off-chip memory movement, pushing the exploration of device technology towards monolithic 3D (M3D) integration, where transistors can be stacked in the back-end-of-line (BEOL) at the interconnect level. M3D integration requires fabrication techniques compatible with a low thermal budget (seconds) when used in a gain-cell configuration. This paper examines device, circuit, and system-level tradeoffs made when optimizing BEOL-compatible AOS-based 2-transistor gain cells (2T-GC) for LLC. A cache early-exploration tool, NS-Cache, is developed to model caches in advanced 7 & 3 nm nodes and is integrated with the Gem5 simulator to systematically benchmark the impact of the newfound density/performance when compared to HD-SRAM, MRAM, and 1T1C eDRAM alternatives for LLC.
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