公开(公告)号：US12093836B2

公开(公告)日：2024-09-17

申请号：US17129521

申请日：2020-12-21

Applicant: Intel Corporation

Inventor： Mattias Marder ,  Estelle Aflalo ,  Avrech Ben-David ,  Shauharda Khadka ,  Somdeb Majumdar ,  Santiago Miret ,  Hanlin Tang

IPC: G06N3/10 ,  G06N3/045 ,  G06N3/086

CPC classification number: G06N3/10 ,  G06N3/045 ,  G06N3/086

Abstract: Automatic multi-objective hardware optimization for processing a deep learning network is disclosed. An example of a storage medium includes instructions for obtaining client preferences for a plurality of performance indicators for processing of a deep learning workload; generating a workload representation for the deep learning workload; providing the workload representation to machine learning processing to generate a workload executable, the workload executable including hardware mapping based on the client preferences; and applying the workload executable in processing of the deep learning workload.

公开(公告)号：US20210150371A1

公开(公告)日：2021-05-20

申请号：US17129521

申请日：2020-12-21

Applicant: Intel Corporation

Inventor： Mattias Marder ,  Estelle Aflalo ,  Avrech Ben-David ,  Shauharda Khadka ,  Somdeb Majumdar ,  Santiago Miret ,  Hanlin Tang

IPC: G06N3/10 ,  G06N3/08 ,  G06N3/04

Abstract: Automatic multi-objective hardware optimization for processing a deep learning network is disclosed. An example of a storage medium includes instructions for obtaining client preferences for a plurality of performance indicators for processing of a deep learning workload; generating a workload representation for the deep learning workload; providing the workload representation to machine learning processing to generate a workload executable, the workload executable including hardware mapping based on the client preferences; and applying the workload executable in processing of the deep learning workload.