Transistor-free compute-in-memory
Researchers from the University of Pennsylvania, Sandia National Laboratories, and Brookhaven National Laboratory propose a transistor-free compute-in-memory (CIM) architecture to overcome memory bottlenecks and reduce power consumption in AI workloads.
"Even when used in a compute-in-memory architecture, transistors compromise the access time of data," sai...
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