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floofloof@lemmy.ca to Technology@beehaw.orgEnglish · 1 year ago

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

techxplore.com

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

techxplore.com

floofloof@lemmy.ca to Technology@beehaw.orgEnglish · 1 year ago
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A team of engineers at AI inference technology company BitEnergy AI reports a method to reduce the energy needs of AI applications by 95%. The group has published a paper describing their new technique on the arXiv preprint server.
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  • technocrit@lemmy.dbzer0.com
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    1 year 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 save 80% on dot products)… Not 95% of total energy.

    It’s an improvement (potentially), but I don’t see any analysis of how this would impact total energy.

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