公开(公告)号：US11269643B2

公开(公告)日：2022-03-08

申请号：US15482798

申请日：2017-04-09

Applicant: Intel Corporation

Inventor： Liwei Ma ,  Nadathur Rajagopalan Satish ,  Jeremy Bottleson ,  Farshad Akhbari ,  Eriko Nurvitadhi ,  Abhishek R. Appu ,  Altug Koker ,  Kamal Sinha ,  Joydeep Ray ,  Balaji Vembu ,  Vasanth Ranganathan ,  Sanjeev Jahagirdar

IPC: G06F9/38 ,  G06T1/20 ,  G06F9/448

Abstract: A mechanism is described for facilitating fast data operations and for facilitating a finite state machine for machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting input data to be used in computational tasks by a computation component of a processor including a graphics processor. The method may further include determining one or more frequently-used data values (FDVs) from the data, and pushing the one or more frequent data values to bypass the computational tasks.

公开(公告)号：US20210035255A1

公开(公告)日：2021-02-04

申请号：US16928353

申请日：2020-07-14

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 ,  G06N3/04 ,  G06N3/063 ,  G06F9/38 ,  G06F9/30 ,  G06N3/08

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：US20200226096A1

公开(公告)日：2020-07-16

申请号：US16744407

申请日：2020-01-16

Applicant: Intel Corporation

Inventor： Altug Koker ,  Farshad Akhbari ,  Feng Chen ,  Dukhwan Kim ,  Narayan Srinivasa ,  Nadathur Rajagopalan Satish ,  Liwei Ma ,  Jeremy Bottleson ,  Eriko Nurvitadhi ,  Joydeep Ray ,  Ping T. Tang ,  Michael S. Strickland ,  Xiaoming Chen ,  Tatiana Shpeisman ,  Abhishek R. Appu

IPC: G06F15/80 ,  G06F13/40 ,  G06T1/20 ,  G06F9/30 ,  G06F13/00 ,  G06N3/04 ,  G06N3/063 ,  G06N3/08

Abstract: An integrated circuit (IC) package apparatus is disclosed. The IC package includes one or more processing units and a bridge, mounted below the one or more processing unit, including one or more arithmetic logic units (ALUs) to perform atomic operations.

公开(公告)号：US20190188554A1

公开(公告)日：2019-06-20

申请号：US16283021

申请日：2019-02-22

Applicant: Intel Corporation

Inventor： Liwei Ma ,  Elmoustapha Ould-Ahmed-Vall ,  Barath Lakshmanan ,  Ben J. Ashbaugh ,  Jingyi Jin ,  Jeremy Bottleson ,  Mike B. Macpherson ,  Kevin Nealis ,  Dhawal Srivastava ,  Joydeep Ray ,  Ping T. Tang ,  Michael S. Strickland ,  Xiaoming Chen ,  Anbang Yao ,  Tatiana Shpeisman ,  Altug Koker ,  Abhishek R. Appu

IPC: G06N3/04 ,  G06N3/08 ,  G06T1/20 ,  G06N3/063

CPC classification number: G06N3/04 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/063 ,  G06N3/082 ,  G06T1/20

Abstract: Embodiments provide systems and methods which facilitate optimization of a convolutional neural network (CNN). One embodiment provides for a non-transitory machine-readable medium storing instructions that cause one or more processors to perform operations comprising processing a trained convolutional neural network (CNN) to generate a processed CNN, the trained CNN having weights in a floating-point format. Processing the trained CNN includes quantizing the weights in the floating-point format to generate weights in an integer format. Quantizing the weights includes generating a quantization table to enable non-uniform quantization of the weights and quantizing the weights from the floating-point format to the integer format using the quantization table. The operations additionally comprise performing an inference operation utilizing the processed CNN with the integer format weights.

公开(公告)号：US20180293491A1

公开(公告)日：2018-10-11

申请号：US15482798

申请日：2017-04-09

Applicant: Intel Corporation

Inventor： Liwei Ma ,  Nadathur Rajagopalan Satish ,  Jeremy Bottleson ,  Farshad Akhbari ,  Eriko Nurvitadhi ,  Abhishek R. Appu ,  Altug Koker ,  Kamal Sinha ,  Joydeep Ray ,  Balaji Vembu ,  Vasanth Ranganathan ,  Sanjeev Jahagirdar

IPC: G06N3/08 ,  G06N3/063

Abstract: A mechanism is described for facilitating fast data operations for machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting input data to be used in computational tasks by a computation component of a compute pipeline of a processor including a graphics processor. The method may further include determining one or more frequently-used data values (FDVs) from the data, and pushing the one or more frequent data values to bypass the computational tasks.

公开(公告)号：US09442826B2

公开(公告)日：2016-09-13

申请号：US13995734

申请日：2013-03-14

Applicant: Intel Corporation

Inventor： Jeremy Bottleson ,  Alfredo Gimenez

IPC: G06F9/44 ,  G06F11/36 ,  G06F9/30 ,  G06F9/54

CPC classification number: G06F11/3664 ,  G06F9/30065 ,  G06F9/544 ,  G06F9/545 ,  G06F11/3624 ,  G06F2201/865

Abstract: A debugging system and method, referred to as a kernel functionality checker, is described for enabling debugging of software written for device-specific APIs (application program interfaces) without requiring support or changes in the software driver or hardware. Specific example embodiments are described for OpenCL, but the disclosed methods may also be used to enable debugging capabilities for other device-specific APIs such as DirectX® and OpenGL®.

Abstract translation: 描述了一种称为内核功能检查器的调试系统和方法，用于启用针对特定于设备的API（应用程序接口）编写的软件的调试，而不需要软件驱动程序或硬件的支持或更改。 为OpenCL描述了具体的示例实施例，但是所公开的方法也可以用于为其他特定于设备的API（如DirectX®和OpenGL®）启用调试功能。