Intel Corporation
Compute optimizations for neural networks using bipolar binary weight
Last updated:
Abstract:
One embodiment provides for a compute apparatus comprising a decode unit to decode a single instruction into a decoded instruction that specifies multiple operands including a multi-bit input value and a bipolar binary weight associated with a neural network and an arithmetic logic unit including a multiplier, an adder, and an accumulator register. To execute the decoded instruction, the multiplier is to perform a multiplication operation on the multi-bit input based on the bipolar binary weight to generate an intermediate product and the adder is to add the intermediate product to a value stored in the accumulator register and update the value stored in the accumulator register.
Status:
Grant
Type:
Utility
Filling date:
8 Jul 2019
Issue date:
27 Jul 2021