IVATS: A Leakage Reduction Technique Based on Input Vector Analysis and Transistor Stacking in CMOS Circuits

Deng, Lawrence Y.; Li, Keran; Shan, Weiwei

doi:10.1109/iscas46773.2023.10182138

Cited by 2 publications

(1 citation statement)

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“…While these transistors are much faster than the standard or high threshold (SVT or HVT) devices, they suffer from subthreshold leakage several orders of magnitude higher than that of an SVT device, leading to excessive leakage power. However, in the case of multiple serially connected cutoff transistors, the so-called ''stackeffect'' [88], [89] reduces this leakage to a tolerable level.…”

Section: B Fully-associative Tag Array (Fasta)mentioning

confidence: 99%

FASTA: Revisiting Fully Associative Memories in Computer Microarchitecture

Garzón,

Hanhan,

Lanuzza

et al. 2024

IEEE Access

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Associative access is widely used in fundamental microarchitectural components, such as caches and TLBs. However, associative (or content addressable) memories (CAMs) have been traditionally considered too large, too energy-hungry, and not scalable, and therefore, have limited use in modern computer microarchitecture. This work revisits these presumptions and proposes an energy-efficient fullyassociative tag array (FASTA) architecture, based on a novel complementary CAM (CCAM) bitcell. CCAM offers a full CMOS solution for CAM, removing the need for time-and energy-consuming precharge and combining the speed of NOR CAM and low energy consumption of NAND CAM. While providing better performance and energy consumption, CCAM features a larger area compared to state-of-the-art CAM designs. We further show how FASTA can be used to construct a novel aliasing-free, energy-efficient, Very-Many-Way Associative (VMWA) cache. Circuit-level simulations using 16 nm FinFET technology show that a 128 kB FASTA-based 256-way 8-set associative cache is 28% faster and consumes 88% less energy-per-access than a same sized 8-way (256-set) SRAM based cache, while also providing aliasingfree operation. System-level evaluation performed on the Sniper simulator shows that the VMWA cache exhibits lower Misses Per Kilo Instructions (MPKI) for the majority of benchmarks. Specifically, the 256way associative cache achieves 17.3%, 11.5%, and 1.2% lower average MPKI for L1, L2, and L3 caches, respectively, compared to a 16-way associative cache. The average IPC improvement for L1, L2, and L3 caches are 1.6%, 1.4%, and 0.2%, respectively.

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Section: B Fully-associative Tag Array (Fasta)mentioning

confidence: 99%