Scaling half-precision floating point tensors for training deep neural networks

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United States of America Patent

PATENT NO 11501139
APP PUB NO 20180322382A1
SERIAL NO

15869582

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One embodiment provides for a machine-learning accelerator device a multiprocessor to execute parallel threads of an instruction stream, the multiprocessor including a compute unit, the compute unit including a set of functional units, each functional unit to execute at least one of the parallel threads of the instruction stream. The compute unit includes compute logic configured to execute a single instruction to scale an input tensor associated with a layer of a neural network according to a scale factor, the input tensor stored in a floating-point data type, the compute logic to scale the input tensor to enable a data distribution of data of the input tensor to be represented by a 16-bit floating point data type.

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Patent OwnerAddress
INTEL CORPORATION2200 MISSION COLLEGE BLVD SANTA CLARA CA 95054

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Das, Dipankar Pune, IN 62 755
Mellempudi, Naveen Bangalore, IN 31 129

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