System-level performance optimization and benchmarking for on-chip graphene interconnects

Author(s):  
Chenyun Pan ◽  
Azad Naeemi
SPIN ◽  
2020 ◽  
Vol 10 (04) ◽  
pp. 2050027
Author(s):  
Inderjit Singh ◽  
Balwinder Raj ◽  
Mamta Khosla ◽  
Brajesh Kumar Kaushik

The continuous downscaling in CMOS devices has increased leakage power and limited the performance to a few GHz. The research goal has diverted from operating at high frequencies to deliver higher performance in essence with lower power. CMOS based on-chip memories consumes significant fraction of power in modern processors. This paper aims to explore the suitability of beyond CMOS, emerging magnetic memories for the use in memory hierarchy, attributing to their remarkable features like nonvolatility, high-density, ultra-low leakage and scalability. NVSim, a circuit-level tool, is used to explore different design layouts and memory organizations and then estimate the energy, area and latency performance numbers. A detailed system-level performance analysis of STT-MRAM and SOT-MRAM technologies and comparison with 22[Formula: see text]nm SRAM technology are presented. Analysis infers that in comparison to the existing 22[Formula: see text]nm SRAM technology, SOT-MRAM is more efficient in area for memory size [Formula: see text][Formula: see text]KB, speed and energy consumption for cache size [Formula: see text][Formula: see text]KB. A typical 256[Formula: see text]KB SOT-MRAM cache design is 27.74% area efficient, 2.97 times faster and consumes 76.05% lesser leakage than SRAM counterpart and these numbers improve for larger cache sizes. The article deduces that SOT-MRAM technology has a promising potential to replace SRAM in lower levels of computer memory hierarchy.


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