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：US20190295211A1

公开(公告)日：2019-09-26

申请号：US16377315

申请日：2019-04-08

Applicant: Intel Corporation

Inventor： Abhishek R. Appu ,  Altug Koker ,  John C. Weast ,  Mike B. Macpherson ,  Linda L. Hurd ,  Sara S. Baghsorkhi ,  Justin E. Gottschlich ,  Prasoonkumar Surti ,  Chandrasekaran Sakthivel ,  Liwei Ma ,  Elmoustapha Ould-Ahmed-Vall ,  Kamal Sinha ,  Joydeep Ray ,  Balaji Vembu ,  Sanjeev Jahagirdar ,  Vasanth Ranganathan ,  Dukhwan Kim

IPC: G06T1/20 ,  G06N3/08 ,  G06N3/063 ,  G06N3/04 ,  G06F9/46

Abstract: A mechanism is described for facilitating inference coordination and processing utilization for machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, at training time, information relating to one or more tasks to be performed according to a training dataset relating to a processor including a graphics processor. The method may further include analyzing the information to determine one or more portions of hardware relating to the processor capable of supporting the one or more tasks, and configuring the hardware to pre-select the one or more portions to perform the one or more tasks, while other portions of the hardware remain available for other tasks.

公开(公告)号：US20190101410A1

公开(公告)日：2019-04-04

申请号：US15720718

申请日：2017-09-29

Applicant: Intel Corporation

Inventor： Lindsey Kuper ,  Justin E. Gottschlich

IPC: G01D1/10 ,  H04W4/00 ,  H04W4/04

Abstract: Disclosed in some examples are methods, systems, and machine readable mediums for assessing the accuracy of one or more local sensors on a mobile device (such as an AV). In some examples, the accuracy of a local sensor of a first AV may be assessed by periodically comparing sensor readings collected by the local sensor to sensor readings matching selection criteria that are collected by one or more remote sensors located at one or more other nearby AVs. A sensor that reports data that is signifimaytly different from that reported by neighboring AVs is likely to be malfunctioning. The use of nearby sensors in nearby AVs may provide for a method for ensuring the integrity of the AV sensor readings without adding redundant sensors.

公开(公告)号：US10120781B2

公开(公告)日：2018-11-06

申请号：US15026515

申请日：2013-12-12

Applicant: INTEL CORPORATION

Inventor： Shiliang Hu ,  Gilles A. Pokam ,  Cristiano L. Pereira ,  Justin E. Gottschlich

IPC: G06F9/44 ,  G06F9/45 ,  G06F11/36 ,  G06F9/52 ,  G06F11/30 ,  G06F11/34

Abstract: Various embodiments are generally directed to detecting race conditions arising from uncoordinated data accesses by different portions of an application routine by detecting occurrences of a selected cache event associated with such accesses. An apparatus includes a processor component; a trigger component for execution by the processor component to configure a monitoring unit of the processor component to detect a cache event associated with a race condition between accesses to a piece of data and to capture an indication of a state of the processor component to generate monitoring data in response to an occurrence of the cache event; and a counter component for execution by the processor component to configure a counter of the monitoring unit to enable capture of the indication of the state of the processor component at a frequency less than every occurrence of the cache event. Other embodiments are described and claimed.

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：US20180299841A1

公开(公告)日：2018-10-18

申请号：US15489142

申请日：2017-04-17

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 ,  Vasanth Ranganathan ,  Sanjeev S. Jahagirdar

IPC: G05B13/02 ,  G05D1/00 ,  G06N3/04 ,  G06N3/02 ,  G06N5/04 ,  G06N99/00

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：US20180293490A1

公开(公告)日：2018-10-11

申请号：US15482793

申请日：2017-04-09

Applicant: Intel Corporation

Inventor： Liwei Ma ,  Nadathur Rajagopalan Satish ,  Jeremy Bottleson ,  Farshad Akhbari ,  Eriko Nurvitadhi ,  Chandrasekaran Sakthivel ,  Barath Lakshmanan ,  Jingyi Jin ,  Justin E. Gottschlich ,  Michael Strickland

IPC: G06N3/08 ,  G06F9/50

CPC classification number: G06N3/0445 ,  G06F9/5038 ,  G06F2209/5021 ,  G06N3/0454 ,  G06N3/063 ,  G06N3/084

Abstract: An apparatus to facilitate workload scheduling is disclosed. The apparatus includes one or more clients, one or more processing units to processes workloads received from the one or more clients, including hardware resources and scheduling logic to schedule direct access of the hardware resources to the one or more clients to process the workloads.

公开(公告)号：US20160371036A1

公开(公告)日：2016-12-22

申请号：US15160786

申请日：2016-05-20

Applicant: Intel Corporation

Inventor： Irina Calciu ,  Justin E. Gottschlich ,  Tatiana Shpeisman

IPC: G06F3/06 ,  G06F9/46

CPC classification number: G06F3/0659 ,  G06F3/0613 ,  G06F3/067 ,  G06F3/0673 ,  G06F9/44 ,  G06F9/466 ,  G06F9/467 ,  G06F12/0813

Abstract: Techniques for improved transactional memory management are described. In one embodiment, for example, an apparatus may comprise a processor element, an execution component for execution by the processor element to concurrently execute a software transaction and a hardware transaction according to a transactional memory process, a tracking component for execution by the processor element to activate a global lock to indicate that the software transaction is undergoing execution, and a finalization component for execution by the processor element to commit the software transaction and deactivate the global lock when execution of the software transaction completes, the finalization component to abort the hardware transaction when the global lock is active when execution of the hardware transaction completes. Other embodiments are described and claimed.

公开(公告)号：US09361152B2

公开(公告)日：2016-06-07

申请号：US14129936

申请日：2013-07-15

Applicant: Intel Corporation

Inventor： Irina Calciu ,  Justin E. Gottschlich ,  Tatiana Shpeisman

IPC: G06F12/10 ,  G06F9/46 ,  G06F9/44 ,  G06F12/08 ,  G06F3/06

CPC classification number: G06F3/0659 ,  G06F3/0613 ,  G06F3/067 ,  G06F3/0673 ,  G06F9/44 ,  G06F9/466 ,  G06F9/467 ,  G06F12/0813

Abstract: Techniques for improved transactional memory management are described. In one embodiment, for example, an apparatus may comprise a processor element, an execution component for execution by the processor element to concurrently execute a software transaction and a hardware transaction according to a transactional memory process, a tracking component for execution by the processor element to activate a global lock to indicate that the software transaction is undergoing execution, and a finalization component for execution by the processor element to commit the software transaction and deactivate the global lock when execution of the software transaction completes, the finalization component to abort the hardware transaction when the global lock is active when execution of the hardware transaction completes. Other embodiments are described and claimed.

Abstract translation: 描述了改进的事务性内存管理技术。 在一个实施例中，例如，设备可以包括处理器元件，用于由处理器元件执行以根据事务存储器进程同时执行软件事务和硬件事务的执行部件，用于由处理器元件执行的跟踪部件 激活全局锁以指示软件事务正在执行;以及最终化组件，用于由处理器元件执行以提交软件事务，并且在执行软件事务完成时停用全局锁定，终止组件中止硬件 当执行硬件事务完成时，全局锁活动时的事务。 描述和要求保护其他实施例。