A 28nm 128-kb Exponent- and Mantissa-Computation-InMemory Dual-macro for Floating-point and INT CNNs
Abstract: Floating point computation-in-memory (FP-CIM) has garnered significant attention in enhancing the energy efficiency of cloud and edge Al devices [1–3]. Recent advancements in large language ...
Abstract: Low bitwidth integer arithmetic has been widely adopted in hardware implementations of deep neural network inference applications. However, despite the promised energy-efficiency ...
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