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公开(公告)号:US11669932B2
公开(公告)日:2023-06-06
申请号:US17355267
申请日:2021-06-23
申请人: Intel Corporation
发明人: Abhishek R. Appu , Altug Koker , John C. Weast , Mike B. Macpherson , Dukhwan Kim , Linda L. Hurd , Sara S. Baghsorkhi , Justin E. Gottschlich , Prasoonkumar Surti , Chandrasekaran Sakthivel , Joydeep Ray
摘要: A mechanism is described for facilitating sharing of data and compression expansion of models at autonomous machines. A method of embodiments, as described herein, includes detecting a first processor processing information relating to a neural network at a first computing device, where the first processor comprises a first graphics processor and the first computing device comprises a first autonomous machine. The method further includes facilitating the first processor to store one or more portions of the information in a library at a database, where the one or more portions are accessible to a second processor of a computing device.
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公开(公告)号:US11609856B2
公开(公告)日:2023-03-21
申请号:US17206514
申请日:2021-03-19
申请人: Intel Corporation
发明人: 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分类号: G06F12/08 , G06F12/0837 , G06N3/08 , G06N20/00 , G06T1/20 , G06F12/0815 , G06N3/063 , G06N3/04 , G06N3/084 , G06N3/088
摘要: 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.
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公开(公告)号:US11592817B2
公开(公告)日:2023-02-28
申请号:US15581124
申请日:2017-04-28
申请人: Intel Corporation
发明人: Abhishek R. Appu , John C. Weast , Sara S. Baghsorkhi , Justin E. Gottschlich , Prasoonkumar Surti , Chandrasekaran Sakthivel , Altug Koker , Farshad Akhbari , Feng Chen , Dukhwan Kim , Narayan Srinivasa , Nadathur Rajagopalan Satish , Kamal Sinha , Joydeep Ray , Balaji Vembu , Mike B. Macpherson , Linda L. Hurd , Sanjeev Jahagirdar , Vasanth Ranganathan
摘要: A mechanism is described for facilitating storage management for machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting one or more components associated with machine learning, where the one or more components include memory and a processor coupled to the memory, and where the processor includes a graphics processor. The method may further include allocating a storage portion of the memory and a hardware portion of the processor to a machine learning training set, where the storage and hardware portions are precise for implementation and processing of the training set.
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公开(公告)号:US11580361B2
公开(公告)日:2023-02-14
申请号:US15494826
申请日:2017-04-24
申请人: Intel Corporation
发明人: Gokcen Cilingir , Elmoustapha Ould-Ahmed-Vall , Rajkishore Barik , Kevin Nealis , Xiaoming Chen , Justin E. Gottschlich , Prasoonkumar Surti , Chandrasekaran Sakthivel , Abhishek Appu , John C. Weast , Sara S. Baghsorkhi , Barnan Das , Narayan Biswal , Stanley J. Baran , Nilesh V. Shah , Archie Sharma , Mayuresh M. Varerkar
摘要: An apparatus to facilitate neural network (NN) training is disclosed. The apparatus includes training logic to receive one or more network constraints and train the NN by automatically determining a best network layout and parameters based on the network constraints.
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公开(公告)号:US20220366527A1
公开(公告)日:2022-11-17
申请号:US17871781
申请日:2022-07-22
申请人: Intel Corporation
发明人: 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
摘要: A mechanism is described for facilitating inference coordination and processing utilization for machine learning. A method of embodiments, as described herein, includes limiting execution of workloads for the respective contexts of a plurality of contexts to a specified subset of a plurality of processing resources of a processing system according to physical resource slices of the processing system that are associated with the respective contexts of the plurality of contexts.
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公开(公告)号:US11222392B2
公开(公告)日:2022-01-11
申请号:US16531763
申请日:2019-08-05
申请人: Intel Corporation
发明人: 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分类号: G06T1/20 , G06T1/60 , G09G5/36 , G06F3/06 , G06N3/08 , G06F3/14 , G06N3/04 , G06N3/063 , G09G5/00
摘要: 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.
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公开(公告)号:US20210294649A1
公开(公告)日:2021-09-23
申请号:US17206514
申请日:2021-03-19
申请人: Intel Corporation
发明人: 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
摘要: 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.
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公开(公告)号:US10417731B2
公开(公告)日:2019-09-17
申请号:US15494886
申请日:2017-04-24
申请人: Intel Corporation
发明人: 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
摘要: 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.
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公开(公告)号:US20190243764A1
公开(公告)日:2019-08-08
申请号:US16277267
申请日:2019-02-15
申请人: Intel Corporation
发明人: 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分类号: G06F12/0837 , G06N20/00 , G06T1/20 , G06N3/08
CPC分类号: G06F12/0837 , G06F12/0815 , G06F2212/62 , G06N3/0445 , G06N3/0454 , G06N3/063 , G06N3/08 , G06N3/084 , G06N3/088 , G06N20/00 , G06T1/20
摘要: 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.
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公开(公告)号:US10186011B2
公开(公告)日:2019-01-22
申请号:US15581182
申请日:2017-04-28
申请人: Intel Corporation
发明人: 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
摘要: 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.
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