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The Low Resource Computing 2026 workshop challenges the trend of infinite growth in computing, advocating for resource-efficient computation inspired by historical achievements, aiming to put processing power back in individuals' hands for a sustainable future.
This survey comprehensively reviews resource-efficient architectures and hardware-software co-design for green AI, covering efficient model construction, training/deployment strategies, and sustainable hardware, aiming to guide sustainable large model development.