Abstract: Emerging applications, e.g., machine learning, large language models (LLMs), and graphic processing, are rapidly developing and are both compute-intensive and memory-intensive. Computing in ...
Abstract: Stochastic computing (SC) has emerged as a promising technique for reducing hardware costs in various applications, particularly in multiply-accumulate (MAC) intensive tasks such as neural ...
A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...
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