公开(公告)号：US20190129789A1

公开(公告)日：2019-05-02

申请号：US16233901

申请日：2018-12-27

Applicant: Intel Corporation

Inventor： Wei Yee Koay ,  Rita H. Wouhaybi ,  Melissa M. Ortiz ,  Shahrnaz Azizi ,  Gayathri Jeganmohan ,  Lady Nataly Pinilla Pico

IPC: G06F11/07 ,  G07C5/08 ,  G07C5/00 ,  G06F11/22

Abstract: Techniques are disclosed herein for reconfiguring reprogrammable hardware in an autonomous vehicle system. According to an embodiment, an autonomous driving system includes sensors and a configurable circuit having physical logic units. The autonomous driving system aggregates data observed from each of the sensors. The autonomous driving system detects a trigger indicative of a defect in the configurable circuit. The defect is identified as a function of the aggregated data. The autonomous driving system performs, in response to the trigger, a reconfiguration action on the configurable circuit to repair the defect.

公开(公告)号：US20190050715A1

公开(公告)日：2019-02-14

申请号：US16147037

申请日：2018-09-28

Applicant: Intel Corporation

Inventor： Kooi Chi Ooi ,  Min Suet Lim ,  Denica Larsen ,  Lady Nataly Pinilla Pico ,  Divya Vijayaraghavan

IPC: G06N3/04 ,  G06K9/62 ,  G06N5/04 ,  G06N3/08 ,  G06F15/78 ,  G06F1/16 ,  G06F17/30 ,  G06N99/00

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to improve data training of a machine learning model using a field-programmable gate array (FPGA). An example system includes one or more computation modules, each of the one or more computation modules associated with a corresponding user, the one or more computation modules training first neural networks using data associated with the corresponding users, and FPGA to obtain a first set of parameters from each of the one or more computation modules, the first set of parameters associated with the first neural networks, configure a second neural network based on the first set of parameters, execute the second neural network to generate a second set of parameters, and transmit the second set of parameters to the first neural networks to update the first neural networks.

公开(公告)号：US11586473B2

公开(公告)日：2023-02-21

申请号：US17317679

申请日：2021-05-11

Applicant: Intel Corporation

Inventor： Divya Vijayaraghavan ,  Denica Larsen ,  Kooi Chi Ooi ,  Lady Nataly Pinilla Pico ,  Min Suet Lim

IPC: G06F9/50 ,  G06N3/08 ,  G06N3/04 ,  G06F11/30 ,  G06K9/62

Abstract: Methods, apparatus, systems, and articles of manufacture for allocating a workload to an accelerator using machine learning are disclosed. An example apparatus includes a workload attribute determiner to identify a first attribute of a first workload and a second attribute of a second workload. An accelerator selection processor causes at least a portion of the first workload to be executed by at least two accelerators, accesses respective performance metrics corresponding to execution of the first workload by the at least two accelerators, and selects a first accelerator of the at least two accelerators based on the performance metrics. A neural network trainer trains a machine learning model based on an association between the first accelerator and the first attribute of the first workload. A neural network processor processes, using the machine learning model, the second attribute to select one of the at least two accelerators to execute the second workload.

公开(公告)号：US20220004452A1

公开(公告)日：2022-01-06

申请号：US17479511

申请日：2021-09-20

Applicant: Intel Corporation

Inventor： Wei Yee Koay ,  Rita H. Wouhaybi ,  Melissa M. Ortiz ,  Shahrnaz Azizi ,  Gayathri Jeganmohan ,  Lady Nataly Pinilla Pico

IPC: G06F11/07 ,  G07C5/08 ,  G06F11/22 ,  G06F11/00 ,  G06F11/20

Abstract: Techniques are disclosed herein for reconfiguring reprogrammable hardware in an autonomous vehicle system. According to an embodiment, an autonomous driving system includes sensors and a configurable circuit having physical logic units. The autonomous driving system aggregates data observed from each of the sensors. The autonomous driving system detects a trigger indicative of a defect in the configurable circuit. The defect is identified as a function of the aggregated data. The autonomous driving system performs, in response to the trigger, a reconfiguration action on the configurable circuit to repair the defect.

公开(公告)号：US11126496B2

公开(公告)日：2021-09-21

申请号：US16233901

申请日：2018-12-27

Applicant: Intel Corporation

Inventor： Wei Yee Koay ,  Rita H. Wouhaybi ,  Melissa M. Ortiz ,  Shahrnaz Azizi ,  Gayathri Jeganmohan ,  Lady Nataly Pinilla Pico

IPC: G06F11/00 ,  G06F11/07 ,  G07C5/08 ,  G06F11/22 ,  G06F11/20 ,  G07C5/00 ,  G05D1/00

Abstract: Techniques are disclosed herein for reconfiguring reprogrammable hardware in an autonomous vehicle system. According to an embodiment, an autonomous driving system includes sensors and a configurable circuit having physical logic units. The autonomous driving system aggregates data observed from each of the sensors. The autonomous driving system detects a trigger indicative of a defect in the configurable circuit. The defect is identified as a function of the aggregated data. The autonomous driving system performs, in response to the trigger, a reconfiguration action on the configurable circuit to repair the defect.

公开(公告)号：US10095437B2

公开(公告)日：2018-10-09

申请号：US14817029

申请日：2015-08-03

Applicant: Intel Corporation

Inventor： Rezaul Haque ,  Lady Nataly Pinilla Pico

IPC: G06F12/00 ,  G06F3/06

Abstract: The present disclosure relates to memory array access control. An apparatus includes partition control circuitry to control at least one partition of a memory array, the at least one partition control circuitry also to receive a controlled clock signal to enable execution of a legitimate memory access command and to generate an active/idle signal having an active state when executing the legitimate memory access command and an idle state when executing the legitimate memory access command is complete; wherein the clock signal is disabled when the active/idle signal is in an idle state.