Abstract: Large language models (LLMs) have achieved significant breakthroughs on machine learning tasks. Yet the substantial memory footprint of LLMs significantly hinders their wide deployment. In ...
Abstract: Analog compute in memory (CIM) with multilevel cell (MLC) resistive random access memory (ReRAM) promises highly dense and efficient compute support for machine learning and scientific ...
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