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๐Ÿ“š Researchers from Tsinghua University Unveil โ€˜Geminiโ€™: A New AI Approach to Boost Performance and Energy Efficiency in Chiplet-Based Deep Neural Network Accelerators


๐Ÿ’ก Newskategorie: AI Nachrichten
๐Ÿ”— Quelle: marktechpost.com

Researchers from multiple universities have addressed the challenge of designing large-scale DNN chiplet accelerators, focusing on optimizing monetary cost (MC), performance, and energy efficiency. The complexity arises from the interplay of various parameters, including network-on-chip (NoC) communication, core positions, and different DNN attributes. It is crucial to explore a vast design space for effective solutions. [โ€ฆ]

The post Researchers from Tsinghua University Unveil โ€˜Geminiโ€™: A New AI Approach to Boost Performance and Energy Efficiency in Chiplet-Based Deep Neural Network Accelerators appeared first on MarkTechPost.

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