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ThAME achieves a staggering 15.7x speedup in MoE inference, revolutionizing the efficiency of Large Language Models.
ThRIve achieves thermally robust CNN inference with a remarkable 5.4x improvement in energy efficiency while maintaining accuracy within 2% of ideal performance.
Fine-tuning CNNs on PIM architectures can be both energy-efficient and accurate, with ADEPT cutting off-chip memory access while maintaining performance.
