Invention Grant
- Patent Title: Distributed matrix multiplication for neural networks
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Application No.: US15395527Application Date: 2016-12-30
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Publication No.: US10169296B2Publication Date: 2019-01-01
- Inventor: Vijay Anand R. Korthikanti , Carey K. Kloss , Aravind Kalaiah , Amir Khosrowshahi
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Alliance IP, LLC
- Main IPC: G06F17/16
- IPC: G06F17/16 ; G06N3/08

Abstract:
In one embodiment, a matrix operation associated with a plurality of input matrices may be performed. The plurality of input matrices may be partitioned into a plurality of input partitions, wherein the plurality of input matrices is partitioned based on a number of available processing elements. The plurality of input partitions may be distributed among a plurality of processing elements, wherein each input partition is distributed to a particular processing element of the plurality of processing elements. A plurality of partial matrix operations may be performed using the plurality of processing elements, and partial matrix data may be transmitted between the plurality of processing elements while performing the plurality of partial matrix operations. A result of the matrix operation may be determined based on the plurality of partial matrix operations.
Public/Granted literature
- US20180189236A1 DISTRIBUTED MATRIX MULTIPLICATION FOR NEURAL NETWORKS Public/Granted day:2018-07-05
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