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Author

Amit Mittal

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#edge computing Sep 2026

HierCIM: A 16-Kb SRAM-Based Digital CIM Macro With Hierarchical Adder-Tree Accumulation for Edge CNN Inference

The growing demand for efficient deep-learning inference on edge platforms requires hardware that is both energy-efficient and practically implementable. This work presents a 16-Kb all-digital static random-access memory (SRAM)-based compute-in-memory (CIM) macro for low-bit CNN inference, featuring a hierarchical adde...

Vikash Vishwakarma, Gopal R. Raut, Amit Mittal et al. · 0 citations

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