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Comment on Integer addition algorithm could reduce energy needs of AI by 95%

technocrit@lemmy.dbzer0.com ⁨5⁩ ⁨weeks⁩ ago

This is an extremely misleading headline. From the abstract:

… applying the L-Mul operation in tensor processing hardware can potentially reduce 95% energy cost by element-wise floating point tensor multiplications and 80% energy cost of dot products.

In other words… This method of computation could save 95% of the energy spent on floating point multiplication (and 80% of dot products)… Not 95% of total energy.

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AndrasKrigare@beehaw.org ⁨5⁩ ⁨weeks⁩ ago
I’d say it’s not just misleading but incorrect if it says “integer” but it’s actually floats.

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IrritableOcelot@beehaw.org ⁨5⁩ ⁨weeks⁩ ago
Good point. Though, the vast majority of ML training and use is tensor math on floating points, so largely dot and cross products, among other matrix operations.

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