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HKU chip performs search task 100 million times faster than standard CPU_我的网站

A |     (ECNS) -- Researchers at The University of Hong Kong (HKU) have developed a minimalist analogue content-addressable memory (CAM) chip that performs complex searches directly where data are stored, the university said Tuesday.    When tasked with calculating the analogue Hamming distance for machine learning classification, the new analogue CAM performed the task approximately 108 (100 million) times faster than a standard CPU, scoring exceptionally high accuracy across multiple datasets, according to the university.    The chip is designed to reduce the slow and energy-intensive transfer of data between memory and processors, known as the “von Neumann bottleneck.” Its architecture can compare incoming search data with all stored data simultaneously in a single step.    Led by professor Li Can from the Department of Electrical and Computer Engineering of the Faculty of Engineering and the Centre for Advanced Semiconductors and Integrated Circuits (CASIC), the team built each analogue CAM cell with just two transistors, compared with up to 16 in a conventional digital CAM cell. The design reduces chip area and allows continuous analogue signals to be processed directly.    Li said the team is exploring how the technology could support search mechanisms in large AI models. The findings were published in Nature Nanotechnology.    (By Intern Yang Hongran, Zhang Dongfang)                    。    为贯彻落实中共中央办公厅、国务院办公厅《关于进一步加强非物质文化遗产保护工作的意见》，加强国家级非物质文化遗产代表性项目保护单位动态管理，根据《国家级非物质文化遗产保护与管理暂行办法》等有关规定，文化和旅游部组织开展了国家级非物质文化遗产代表性项目保护单位调整工作。                        　　此次对389个国家级非物质文化遗产代表性项目的保护单位进行调整，另有3个项目因暂无合适保护单位不作认定。现公布国家级非物质文化遗产代表性项目保护单位调整名单。         　　(总台央视记者 曹岩 赵继哲) 【编辑:刘阳禾】。

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Published on:17:33:03