Web: https://syncedreview.com/2022/09/23/transformers-on-edge-devices-monash-us-energy-saving-attention-with-linear-complexity-reduces-compute-cost-by-73/

Sept. 23, 2022, 12:02 p.m. | Synced

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In the new paper EcoFormer: Energy-Saving Attention with Linear Complexity, a Monash University research team presents EcoFormer, an attention mechanism with linear complexity that replaces expensive multiply-accumulate operations with simple accumulations and achieves a 73 percent energy footprint reduction on ImageNet.

The post Transformers on Edge Devices? Monash U’s Energy-Saving Attention With Linear Complexity Reduces Compute Cost by 73% first appeared on Synced.

ai artificial intelligence attention complexity compute cost deep-neural-networks devices edge edge devices energy linear machine learning machine learning & data science ml research saving technology transformers

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