CASH-RAM: Enabling In-Memory Computations for Edge Inference Using Charge Accumulation and Sharing in Standard 8T-SRAM Arrays
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DOI: 10.1109/jetcas.2020.3014250
Abstract: Machine Learning (ML) workloads being memory- and compute-intensive, consume large amounts of power running on conventional computing systems, restricting their implementations to large-scale data centers. Transferring large amounts of data from the edge devices to… read more here.
Keywords: standard sram; memory; cash ram; charge ... See more keywords