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Ankur Singh

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#machine learning Preprint Sep 2026

Compute-in-Memory Attention: A Time-Domain Analog Softmax Circuit with RC-Tunable Temperature

Softmax is a key operation in Transformer attention, but its exponentiation and normalization add significant overhead in compute-in-memory (CIM) accelerators, especially when analog attention scores must first be converted to the digital domain. This work presents a tunable-temperature analog softmax circuit in Global...

Ankur Singh, Ashish Gautam, Shruti R. Kulkarni et al. · 0 citations

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