- Patent Title: Dynamic precision management for integer deep learning primitives
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Application No.: US17083588Application Date: 2020-10-29
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Publication No.: US11321805B2Publication Date: 2022-05-03
- Inventor: Naveen Mellempudi , Dheevatsa Mudigere , Dipankar Das , Srinivas Sridharan
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Mendonsa & Hamilton LLP
- Agent Jaffery Watson
- Main IPC: G06T1/20
- IPC: G06T1/20 ; G06N3/063 ; G06F17/16 ; G06F7/523 ; G06F5/01 ; G06F7/501 ; G06F17/15 ; G06N3/04 ; G06F7/544 ; G06N3/08

Abstract:
One embodiment provides for a graphics processing unit to perform computations associated with a neural network, the graphics processing unit comprising compute unit including a hardware logic unit having dynamic precision fixed-point logic, the compute unit to receive a set of dynamic fixed-point tensors, compute, via the dynamic precision fixed-point logic, a right-shift value using an absolute maximum value within the set of dynamic fixed-point tensors and a dynamic range of the set of dynamic fixed-point tensors, right-shift data values within the set of dynamic fixed-point tensors based on the right-shift value, increment a shared exponent associated with the set of dynamic fixed-point tensors based on the right-shift value, perform a compute operation on the set of dynamic fixed-point tensors, and generate an output tensor via the compute operation on the set of dynamic fixed-point tensors.
Public/Granted literature
- US20210110508A1 DYNAMIC PRECISION MANAGEMENT FOR INTEGER DEEP LEARNING PRIMITIVES Public/Granted day:2021-04-15
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