A new technical paper titled “Memory-Centric Computing: Recent Advances in Processing-in-DRAM” was published by researchers at ETH Zurich. “Memory-centric computing aims to enable computation ...
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 ...
Google researchers have revealed that memory and interconnect are the primary bottlenecks for LLM inference, not compute power, as memory bandwidth lags 4.7x behind.
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