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Analog In-Memory Computing Attention Mechanism for Fast and Energy-Efficient Large Language Models
Transformer neural networks, driven by self-attention mechanisms, are core components of
foundational and Large Language Models. In generative transformers, self-attention uses …
foundational and Large Language Models. In generative transformers, self-attention uses …
Differential Phase Change Memory (PCM) Cell for Drift-Compensated In-Memory Computing
Phase change memory (PCM) is a scalable, reliable, and robust technology for embedded
and stand-alone memory device. PCM has also been extensively demonstrated for analog …
and stand-alone memory device. PCM has also been extensively demonstrated for analog …