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Comment on Making floating point math highly efficient for AI hardware

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Not sure why this isn't getting more votes, but it's a good avenue of research and the authors should be commended. That said, this approach to optimizing floating point implementations has a lot of history at Imagination Technologies, ARM and similar low-power inferencing chipsets providers. I especially like the Synopsys ASIP Design [0] tool which leverages the open-source (although not yet IEEE ratified) LISA 2.0 Architecture Design Language [1] to iterate on these design issues.

Interesting times...

[0] https://www.synopsys.com/dw/ipdir.php?ds=asip-designer [1] https://en.wikipedia.org/wiki/LISA_(Language_for_Instruction...

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