Dynamically Mixed Precision Machine Learning Systems and Methods
OwnerAudrey Kertesz, Tianyi Zhang +3inventors
InventorsAudrey Kertesz, Tianyi Zhang, Mohamed Ibrahim, Tim Vanderhoek, Peter McLean
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OwnerAudrey Kertesz, Tianyi Zhang +3inventors
InventorsAudrey Kertesz, Tianyi Zhang, Mohamed Ibrahim, Tim Vanderhoek, Peter McLean
Estimating the term…
Systems, methods, and circuitry for dynamically mixed precision machine learning are provided. An integrated circuit may include conversion circuitry to convert input feature data to block floating point format and upper/lower splitter circuitry to split the input feature data in the block floating point format into an upper component in the block floating point format and a lower component in the block floating point format. A processing element may use only the upper component when operating in a lower-precision mode and use both the upper component and the lower component when operating in a higher-precision mode.
An integrated circuit device comprising:
One or more tangible, non-transitory, machine-readable media comprising instructions that, when executed by a data processing system, enable the data processing system to perform operations to generate a system design for an integrated circuit device comprising:
A method comprising:
Dependencies are inferred from the claim text.