公开(公告)号：US20240354559A1

公开(公告)日：2024-10-24

申请号：US18646021

申请日：2024-04-25

Applicant: Intel Corporation

Inventor： Rajkishore Barik ,  Brian T. Lewis ,  Murali Sundaresan ,  Jeffrey Jackson ,  Feng Chen ,  Xiaoming Chen ,  Mike Macpherson

IPC: G06N3/063 ,  G06F9/46 ,  G06N3/044 ,  G06N3/045 ,  G06N3/084 ,  G06N5/01

CPC classification number: G06N3/063 ,  G06F9/46 ,  G06N3/044 ,  G06N3/045 ,  G06N3/084 ,  G06N5/01

Abstract: A mechanism is described for facilitating smart distribution of resources for deep learning autonomous machines. A method of embodiments, as described herein, includes detecting one or more sets of data from one or more sources over one or more networks, and introducing a library to a neural network application to determine optimal point at which to apply frequency scaling without degrading performance of the neural network application at a computing device.

公开(公告)号：US11410024B2

公开(公告)日：2022-08-09

申请号：US15581152

申请日：2017-04-28

Applicant: Intel Corporation

Inventor： Rajkishore Barik ,  Brian T. Lewis ,  Murali Sundaresan ,  Jeffrey Jackson ,  Feng Chen ,  Xiaoming Chen ,  Mike Macpherson

IPC: G06N3/063 ,  G06N3/04 ,  G06N3/08 ,  G06N5/00 ,  G06F9/46

Abstract: A mechanism is described for facilitating smart distribution of resources for deep learning autonomous machines. A method of embodiments, as described herein, includes detecting one or more sets of data from one or more sources over one or more networks, and introducing a library to a neural network application to determine optimal point at which to apply frequency scaling without degrading performance of the neural network application at a computing device.

公开(公告)号：US20230017304A1

公开(公告)日：2023-01-19

申请号：US17874876

申请日：2022-07-27

Applicant: Intel Corporation

Inventor： Rajkishore Barik ,  Brian T. Lewis ,  Murali Sundaresan ,  Jeffrey Jackson ,  Feng Chen ,  Xiaoming Chen ,  Mike Macpherson

IPC: G06N3/063 ,  G06N3/04 ,  G06N3/08 ,  G06N5/00 ,  G06F9/46

Abstract: A mechanism is described for facilitating smart distribution of resources for deep learning autonomous machines. A method of embodiments, as described herein, includes detecting one or more sets of data from one or more sources over one or more networks, and introducing a library to a neural network application to determine optimal point at which to apply frequency scaling without degrading performance of the neural network application at a computing device.

公开(公告)号：US12001944B2

公开(公告)日：2024-06-04

申请号：US17874876

申请日：2022-07-27

Applicant: Intel Corporation

Inventor： Rajkishore Barik ,  Brian T. Lewis ,  Murali Sundaresan ,  Jeffrey Jackson ,  Feng Chen ,  Xiaoming Chen ,  Mike Macpherson

IPC: G06N3/063 ,  G06F9/46 ,  G06N3/044 ,  G06N3/045 ,  G06N3/084 ,  G06N5/01

CPC classification number: G06N3/063 ,  G06F9/46 ,  G06N3/044 ,  G06N3/045 ,  G06N3/084 ,  G06N5/01

Abstract: A mechanism is described for facilitating smart distribution of resources for deep learning autonomous machines. A method of embodiments, as described herein, includes detecting one or more sets of data from one or more sources over one or more networks, and introducing a library to a neural network application to determine an optimal point at which to apply frequency scaling without degrading performance of the neural network application at a computing device.

公开(公告)号：US20180314936A1

公开(公告)日：2018-11-01

申请号：US15581152

申请日：2017-04-28

Applicant: Intel Corporation

Inventor： Rajkishore Barik ,  Brian T. Lewis ,  Murali Sundaresan ,  Jeffrey Jackson ,  Feng Chen ,  Xiaoming Chen ,  Mike Macpherson

IPC: G06N3/08 ,  G06N3/04 ,  G06N3/063

Abstract: A mechanism is described for facilitating smart distribution of resources for deep learning autonomous machines. A method of embodiments, as described herein, includes detecting one or more sets of data from one or more sources over one or more networks, and introducing a library to a neural network application to determine optimal point at which to apply frequency scaling without degrading performance of the neural network application at a computing device.