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cs.ET2025
A Low-Cost Reliable Racetrack Cache Based on Data Compression
Elham Cheshmikhani, Fateme Shokouhinia, Hamed Farbeh
SRAM-based cache memory faces several scalability limitations in deep nanoscale technologies, e.g., high leakage current, low cell stability, and low density. Emerging Non-Volatile…
cs.ET2024
Online Soft Error Tolerance in ReRAM Crossbars for Deep Learning Accelerators
Benyamin Khezeli, Hamid Reza Zarandi, Elham Cheshmikhani
Resistive Random-Access Memory (ReRAM) crossbar arrays are promising candidates for in-situ matrix-vector multiplication (MVM), a frequent operation in Deep Learning algorithms. De…