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

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arxiv 2503.06304 v2 pith:ZZ76MCIJ submitted 2025-03-08 cs.ET

classification cs.ET
keywords devicecachecellmemorywhenadvancedbeolcaches
verification ladder T0 review T1 audit T2 compute T3 formal
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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 like 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 toward 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 (<400 degC). Among promising BEOL device candidates are amorphous oxide semiconductor (AOS) transistors, particularly desirable for their ultra-low leakage (<fA/um), enabling persistent data retention (>seconds) when used in a gain-cell configuration. This paper examines device, circuit, and system-level tradeoffs when optimizing BEOL-compatible AOS-based 2-transistor gain cell (2T-GC) for LLC. A cache early-exploration tool, NS-Cache, is developed to model caches in advanced 7 and 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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  1. CMOS+X: Stacking Persistent Embedded Memories based on Oxide Transistors upon GPGPU Platforms

    cs.ET 2025-06 conditional novelty 6.0 of 10

    Monolithic 3D-stacked amorphous-oxide-semiconductor memories can replace SRAM in GPU register files and L2 caches, delivering higher density, lower standby power, and up to 5x performance per watt in simulation.

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