公开(公告)号：US20210279571A1

公开(公告)日：2021-09-09

申请号：US17177632

申请日：2021-02-17

Applicant: Intel Corporation

Inventor： Narayan Srinivasa ,  Joydeep Ray ,  Nicolas C. Galoppo Von Borries ,  Ben J. Ashbaugh ,  Prasoonkumar Surti ,  Feng Chen ,  Barath Lakshmanan ,  Elmoustapha Ould-Ahmed-Vall ,  Liwei Ma ,  Linda L. Hurd ,  Abhishek R. Appu ,  John C. Weast ,  Sara S. Baghsorkhi ,  Justin E. Gottschlich ,  Chandrasekaran Sakthivel ,  Farshad Akhbari ,  Dukhwan Kim ,  Altug Koker ,  Nadathur Rajagopalan Satish

IPC: G06N3/08 ,  G06N3/04

Abstract: An apparatus to facilitate optimization of a neural network (NN) is disclosed. The apparatus includes optimization logic to define a NN topology having one or more macro layers, adjust the one or more macro layers to adapt to input and output components of the NN and train the NN based on the one or more macro layers.

公开(公告)号：US20210241417A1

公开(公告)日：2021-08-05

申请号：US17145885

申请日：2021-01-11

Applicant: Intel Corporation

Inventor： Prasoonkumar Surti ,  Narayan Srinivasa ,  Feng Chen ,  Joydeep Ray ,  Ben J. Ashbaugh ,  Nicolas C. Galoppo Von Borries ,  Eriko Nurvitadhi ,  Balaji Vembu ,  Tsung-Han Lin ,  Kamal Sinha ,  Rajkishore Barik ,  Sara S. Baghsorkhi ,  Justin E. Gottschlich ,  Altug Koker ,  Nadathur Rajagopalan Satish ,  Farshad Akhbari ,  Dukhwan Kim ,  Wenyin Fu ,  Travis T. Schluessler ,  Josh B. Mastronarde ,  Linda L. Hurd ,  John H. Feit ,  Jeffery S. Boles ,  Adam T. Lake ,  Karthik Vaidyanathan ,  Devan Burke ,  Subramaniam Maiyuran ,  Abhishek R. Appu

IPC: G06T1/20 ,  G06F9/455 ,  G06F9/50 ,  G06N3/04 ,  G06N3/063 ,  G06N3/08

Abstract: An apparatus to facilitate compute optimization is disclosed. The apparatus includes a plurality of processing units each comprising a plurality of execution units (EUs), wherein the plurality of EUs comprise a first EU type and a second EU type.

公开(公告)号：US20200210338A1

公开(公告)日：2020-07-02

申请号：US16727127

申请日：2019-12-26

Applicant: Intel Corporation

Inventor： Chandrasekaran Sakthivel ,  Prasoonkumar Surti ,  John C. Weast ,  Sara S. Baghsorkhi ,  Justin E. Gottschlich ,  Abhishek R. Appu ,  Nicolas C. Galoppo Von Borries ,  Joydeep Ray ,  Narayan Srinivasa ,  Feng Chen ,  Ben J. Ashbaugh ,  Rajkishore Barik ,  Tsung-Han Lin ,  Kamal Sinha ,  Eriko Nurvitadhi ,  Balaji Vembu ,  Altug Koker

IPC: G06F12/0837 ,  G06N3/08 ,  G06N20/00 ,  G06T1/20 ,  G06F12/0815 ,  G06N3/063 ,  G06N3/04

Abstract: In an example, an apparatus comprises a plurality of processing unit cores, a plurality of cache memory modules associated with the plurality of processing unit cores, and a machine learning model communicatively coupled to the plurality of processing unit cores, wherein the plurality of cache memory modules share cache coherency data with the machine learning model. Other embodiments are also disclosed and claimed.

公开(公告)号：US20200034946A1

公开(公告)日：2020-01-30

申请号：US16531763

申请日：2019-08-05

Applicant: Intel Corporation

Inventor： Prasoonkumar Surti ,  Narayan Srinivasa ,  Feng Chen ,  Joydeep Ray ,  Ben J. Ashbaugh ,  Nicolas C. Galoppo Von Borries ,  Eriko Nurvitadhi ,  Balaji Vembu ,  Tsung-Han Lin ,  Kamal Sinha ,  Rajkishore Barik ,  Sara S. Baghsorkhi ,  Justin E. Gottschlich ,  Altug Koker ,  Nadathur Rajagopalan Satish ,  Farshad Akhbari ,  Dukhwan Kim ,  Wenyin Fu ,  Travis T. Schluessler ,  Josh B. Mastronarde ,  Linda L. Hurd ,  John H. Feit ,  Jeffery S. Boles ,  Adam T. Lake ,  Karthik Vaidyanathan ,  Devan Burke ,  Subramaniam Maiyuran ,  Abhishek R. Appu

IPC: G06T1/20 ,  G06F3/14 ,  G06N3/04 ,  G06N3/063 ,  G06N3/08 ,  G06T1/60 ,  G09G5/36 ,  G06F3/06

Abstract: An apparatus to facilitate compute optimization is disclosed. The apparatus includes a memory device including a first integrated circuit (IC) including a plurality of memory channels and a second IC including a plurality of processing units, each coupled to a memory channel in the plurality of memory channels.

公开(公告)号：US20180315158A1

公开(公告)日：2018-11-01

申请号：US15581182

申请日：2017-04-28

Applicant: Intel Corporation

Inventor： Eriko Nurvitadhi ,  Balaji Vembu ,  Nicolas C. Galoppo Von Borries ,  Rajkishore Barik ,  Tsung-Han Lin ,  Kamal Sinha ,  Nadathur Rajagopalan Satish ,  Jeremy Bottleson ,  Farshad Akhbari ,  Altug Koker ,  Narayan Srinivasa ,  Dukhwan Kim ,  Sara S. Baghsorkhi ,  Justin E. Gottschlich ,  Feng Chen ,  Elmoustapha Ould-Ahmed-Vall ,  Kevin Nealis ,  Xiaoming Chen ,  Anbang Yao

IPC: G06T1/20 ,  G06N3/08 ,  G06N3/04

CPC classification number: G06T1/20 ,  G06F9/3001 ,  G06F9/3017 ,  G06F9/3851 ,  G06F9/3887 ,  G06F9/3895 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/063 ,  G06N3/084

Abstract: One embodiment provides for a compute apparatus to perform machine learning operations, the compute apparatus comprising a decode unit to decode a single instruction into a decoded instruction, the decoded instruction to cause the compute apparatus to perform a complex machine learning compute operation.

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.

公开(公告)号：US20180174349A1

公开(公告)日：2018-06-21

申请号：US15118887

申请日：2014-06-30

Applicant: INTEL CORPORATION

Inventor： Yi Yang ,  Xiaoming Chen ,  Feng Chen ,  Yan Hao

IPC: G06T15/00 ,  G06T15/04 ,  G06T1/60 ,  G06T11/40

CPC classification number: G06T15/005 ,  G06T1/60 ,  G06T11/40 ,  G06T15/04 ,  G06T2200/04

Abstract: Methods and apparatus relating to an adaptive partition mechanism with arbitrary tile shape for tile based rendering GPU (Graphics Processing Unit) architecture are described. In an embodiment, the primitive intersection cost value for each atomic tile of an image are determined at least partially based on a vertex element size, a vertex shader length, and a number of the vertices of a primitive of the image. Other embodiments are also disclosed and claimed.

公开(公告)号：US20160314188A1

公开(公告)日：2016-10-27

申请号：US15198881

申请日：2016-06-30

Applicant: Intel Corporation

Inventor： Michael P. Mesnier ,  Tian Luo ,  Feng Chen

IPC: G06F17/30 ,  H04L29/08

CPC classification number: G06F16/285 ,  G06F16/22 ,  H04L67/1097 ,  H04L67/322

Abstract: In accordance with some embodiments, classification of input/output requests from a database to a storage system may be performed. Each input/output request may be associated with a database class, and each database class may be mapped to a quality of service policy. Thus, quality of service may be enforced such that different data blocks within the storage system of the database may be afforded appropriate quality of service.

Abstract translation: 根据一些实施例，可以执行从数据库到存储系统的输入/输出请求的分类。 每个输入/输出请求可以与数据库类相关联，并且每个数据库类可被映射到服务质量策略。 因此，可以执行服务质量，使得数据库的存储系统内的不同数据块可以被提供适当的服务质量。

公开(公告)号：US20250061534A1

公开(公告)日：2025-02-20

申请号：US18819073

申请日：2024-08-29

Applicant: Intel Corporation

Inventor： Eriko Nurvitadhi ,  Balaji Vembu ,  Nicolas C. Galoppo Von Borries ,  Rajkishore Barik ,  Tsung-Han Lin ,  Kamal Sinha ,  Nadathur Rajagopalan Satish ,  Jeremy Bottleson ,  Farshad Akhbari ,  Altug Koker ,  Narayan Srinivasa ,  Dukhwan Kim ,  Sara S. Baghsorkhi ,  Justin E. Gottschlich ,  Feng Chen ,  Elmoustapha Ould-Ahmed-Vall ,  Kevin Nealis ,  Xiaoming Chen ,  Anbang Yao

IPC: G06T1/20 ,  G06F9/30 ,  G06F9/38 ,  G06N3/04 ,  G06N3/044 ,  G06N3/045 ,  G06N3/063 ,  G06N3/08 ,  G06N3/084

Abstract: One embodiment provides a parallel processor comprising a hardware scheduler to schedule pipeline commands for compute operations to one or more of multiple types of compute units, a plurality of processing resources including a first sparse compute unit configured for input at a first level of sparsity and hybrid memory circuitry including a memory controller, a memory interface, and a second sparse compute unit configured for input at a second level of sparsity that is greater than the first level of sparsity.

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.