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A sort-in-memory hardware system eliminates need for comparators in nonlinear sorting tasks
A research team led by Prof. Yang Yuchao from the School of Electronic and Computer Engineering at Peking University Shenzhen Graduate School has achieved a global breakthrough by developing the first ...
A technical paper titled “Analog Foundation Models” was published by IBM Research– Zurich, ETH Zurich, IBM Research-Almaden, and IBM TJ Watson Research Center. Find the technical paper here. published ...
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Smart chip could slash computing energy use by up to 5,000×
Researchers in Italy have recently developed a new smart chip that could greatly reduce ...
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 ...
A new technical paper titled “Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems” was published by researchers at National ...
No signs of slowing down.
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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