Compute-in-memory: State space models; ultra-thin AlScN memory; brain-inspired edge AI.
AI workloads are driving their adoption in data centers. On the other hand, photonic interconnects require a variety of ...
Abstract: Deep Neural Networks (DNNs) require highly efficient matrix multiplication engines for complex computations. This paper presents a Systolic Array (SA) architecture incorporating novel exact ...
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