Abstract: Computing-in-memory (CIM) based on SRAM is a promising approach to achieving energy-efficient multiply-and-accumulate (MAC) operations in artificial intelligence (AI) edge devices; however, ...
Abstract: Transformer model performs outstandingly in various tasks involving artificial intelligence. In this work, we propose a hybrid-RAM Transformer accelerator (HRAMTran) utilizing ...
Data centers face a conundrum: how to power increasingly dense server racks using equipment that relies on century-old technology. Traditional transformers are bulky and hot, but a new generation of ...
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