公开(公告)号：US11593910B2

公开(公告)日：2023-02-28

申请号：US17741934

申请日：2022-05-11

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 ,  G06N3/063 ,  G06F9/455 ,  G06F9/50 ,  G06N3/04 ,  G06N3/084 ,  G06F8/41

Abstract: Embodiments provide mechanisms to facilitate compute operations for deep neural networks. One embodiment comprises a graphics processing unit comprising one or more multiprocessors, at least one of the one or more multiprocessors including a register file to store a plurality of different types of operands and a plurality of processing cores. The plurality of processing cores includes a first set of processing cores of a first type and a second set of processing cores of a second type. The first set of processing cores are associated with a first memory channel and the second set of processing cores are associated with a second memory channel.

公开(公告)号：US20230039729A1

公开(公告)日：2023-02-09

申请号：US17963539

申请日：2022-10-11

Applicant: Intel Corporation

Inventor： Abhishek R. Appu ,  Altug Koker ,  Linda L. Hurd ,  Dukhwan Kim ,  Mike B. MacPherson ,  John C. Weast ,  Justin E. Gottschlich ,  Jingyi Jin ,  Barath Lakshmanan ,  Chandrasekaran Sakthivel ,  Michael S. Strickland ,  Joydeep Ray ,  Kamal Sinha ,  Prasoonkumar Surti ,  Balaji Vembu ,  Ping T. Tang ,  Anbang Yao ,  Tatiana Shpeisman ,  Xiaoming Chen

IPC: G05B13/02 ,  G05D1/00 ,  G06N3/04 ,  G06N3/02 ,  G06N5/04 ,  G06N20/00

Abstract: Methods and apparatus relating to autonomous vehicle neural network optimization techniques are described. In an embodiment, the difference between a first training dataset to be used for a neural network and a second training dataset to be used for the neural network is detected. The second training dataset is authenticated in response to the detection of the difference. The neural network is used to assist in an autonomous vehicle/driving. Other embodiments are also disclosed and claimed.

公开(公告)号：US11562461B2

公开(公告)日：2023-01-24

申请号：US17529862

申请日：2021-11-18

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 ,  G06T15/80 ,  G06F3/14 ,  G06T1/60 ,  G09G5/36 ,  G06F3/06 ,  G06N3/08 ,  G06N3/04 ,  G06N3/063 ,  G09G5/00

Abstract: An apparatus to facilitate compute optimization is disclosed. The apparatus includes one or more processing units to provide a first set of shader operations associated with a shader stage of a graphics pipeline, a scheduler to schedule shader threads for processing, and a field-programmable gate array (FPGA) dynamically configured to provide a second set of shader operations associated with the shader stage of the graphics pipeline.

公开(公告)号：US11508338B2

公开(公告)日：2022-11-22

申请号：US17062871

申请日：2020-10-05

Applicant: Intel Corporation

Inventor： Joydeep Ray ,  Altug Koker ,  Balaji Vembu ,  Murali Ramadoss ,  Guei-Yuan Lueh ,  James A. Valerio ,  Prasoonkumar Surti ,  Abhishek R. Appu ,  Vasanth Ranganathan ,  Kalyan K. Bhiravabhatla ,  Arthur D. Hunter, Jr. ,  Wei-Yu Chen ,  Subramaniam M. Maiyuran

IPC: G09G5/36 ,  G06F12/0875 ,  G06F9/46 ,  G09G5/00 ,  G06F12/084 ,  G06F12/0811

Abstract: A mechanism is described for facilitating using of a shared local memory for register spilling/filling relating to graphics processors at computing devices. A method of embodiments, as described herein, includes reserving one or more spaces of a shared local memory (SLM) to perform one or more of spilling and filling relating to registers associated with a graphics processor of a computing device.

公开(公告)号：US11416962B2

公开(公告)日：2022-08-16

申请号：US17211743

申请日：2021-03-24

Applicant: INTEL CORPORATION

Inventor： Balaji Vembu ,  Josh B. Mastronarde ,  Altug Koker ,  Nikos Kaburlasos ,  Abhishek R. Appu ,  Joydeep Ray

IPC: G06T1/00 ,  G06T1/60 ,  G06T1/20 ,  G06F1/329 ,  G06F9/48

Abstract: Methods and apparatus relating to techniques for power management. In an example, an apparatus comprises logic, at least partially comprising hardware logic, to receive one or more frames for a workload, determine one or more compute resource parameters for the workload, and store the one or more compute resource parameters for the workload in a memory in association with workload context data for the workload. Other embodiments are also disclosed and claimed.

公开(公告)号：US20220253317A1

公开(公告)日：2022-08-11

申请号：US17683564

申请日：2022-03-01

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：US11385952B2

公开(公告)日：2022-07-12

申请号：US17171790

申请日：2021-02-09

Applicant: Intel Corporation

Inventor： Balaji Vembu ,  Bryan White ,  Ankur Shah ,  Murali Ramadoss ,  David Puffer ,  Altug Koker ,  Aditya Navale ,  Mahesh Natu

IPC: G06F11/00 ,  G06F11/07

Abstract: Apparatus and method for scalable error reporting. For example, one embodiment of an apparatus comprises error detection circuitry to detect an error in a component of a first tile within a tile-based hierarchy of a processing device; error classification circuitry to classify the error and record first error data based on the classification; a first tile interface to combine the first error data with second error data received from one or more other components associated with the first tile to generate first accumulated error data; and a master tile interface to combine the first accumulated error data with second accumulated error data received from at least one other tile interface to generate second accumulated error data and to provide the second accumulated error data to a host executing an application to process the second accumulated error data.

公开(公告)号：US20220206853A1

公开(公告)日：2022-06-30

申请号：US17520583

申请日：2021-11-05

Applicant: Intel Corporation

Inventor： Abhishek R Appu ,  Altug Koker ,  Balaji Vembu ,  Joydeep Ray ,  Kamal Sinha ,  Prasoonkumar Surti ,  Kiran C. Veernapu ,  Subramaniam Maiyuran ,  Sanjeev S. Jahagirdar ,  Eric J. Asperheim ,  Guei-Yuan Lueh ,  David Puffer ,  Wenyin Fu ,  Nikos Kaburlasos ,  Bhushan M. Borole ,  Josh B. Mastronarde ,  Linda L. Hurd ,  Travis T. Schluessler ,  Tomasz Janczak ,  Abhishek Venkatesh ,  Kai Xiao ,  Slawomir Grajewski

IPC: G06F9/50 ,  G06F1/329 ,  G06F9/48 ,  G06T1/20 ,  G06T1/60 ,  G06T15/00

Abstract: In an example, an apparatus comprises a plurality of execution units comprising at least a first type of execution unit and a second type of execution unit and logic, at least partially including hardware logic, to analyze a workload and assign the workload to one of the first type of execution unit or the second type of execution unit. Other embodiments are also disclosed and claimed.

公开(公告)号：US11354768B2

公开(公告)日：2022-06-07

申请号：US16791482

申请日：2020-02-14

Applicant: Intel Corporation

Inventor： Balaji Vembu ,  Murali Ramadoss ,  Guei-Yuan Lueh ,  Subramaniam M. Maiyuran ,  Abhishek R. Appu ,  Joydeep Ray ,  Altug Koker ,  James A. Valerio ,  Eric J. Hoekstra ,  Arthur D. Hunter, Jr.

IPC: G06T1/20 ,  G06T15/04 ,  G06F9/22 ,  G06F9/448

Abstract: An apparatus to facilitate data intelligent dispatching is disclosed. The apparatus includes one or more processing units including a plurality of execution units (EUs) to execute a plurality of processing threads and collection logic to collect statistics data for threads executed at the processing unit during execution of an application, and dispatch logic to dispatch the threads to be executed at a subset of the plurality of EUs during a subsequent execution of the application based on the statistics data.

公开(公告)号：US20220084252A1

公开(公告)日：2022-03-17

申请号：US17355271

申请日：2021-06-23

Applicant: Intel Corporation

Inventor： Abhishek Appu ,  Altug Koker ,  Joydeep Ray ,  Balaji Vembu ,  Prasoonkumar Surti ,  Kamal Sinha ,  Nadathur Rajagoplan Satish ,  Narayan Srinivasa ,  Feng Chen ,  Dukhwan Kim ,  Farshad Akhbari

IPC: G06T9/00 ,  G06N3/063 ,  G06N3/04 ,  G06N3/08 ,  G06T1/60 ,  G06F12/02 ,  G06T1/20

Abstract: An apparatus to facilitate compute compression is disclosed. The apparatus includes a graphics processing unit including mapping logic to map a first block of integer pixel data to a compression block and compression logic to compress the compression block.