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公开(公告)号:US10540318B2
公开(公告)日:2020-01-21
申请号:US15482796
申请日:2017-04-09
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 Strickland , Xiaoming Chen , Tatiana Shpeisman , Abhishek R. Appu
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.
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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
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
Abstract: 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:US10255656B2
公开(公告)日:2019-04-09
申请号:US15798574
申请日:2017-10-31
Applicant: Intel Corporation
Inventor: Abhishek R. Appu , Altug Koker , Linda L. Hurd , Dukhwan Kim , Mike B. Macpherson , John C. Weast , Feng Chen , Farshad Akhbari , Narayan Srinivasa , Nadathur Rajagopalan Satish , Joydeep Ray , Ping T. Tang , Michael S. Strickland , Xiaoming Chen , Anbang Yao , Tatiana Shpeisman
Abstract: An apparatus to facilitate compute optimization is disclosed. The apparatus includes sorting logic to sort processing threads into thread groups based on bit depth of floating point thread operations.
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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
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
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.
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公开(公告)号:US20180314249A1
公开(公告)日:2018-11-01
申请号:US15581124
申请日:2017-04-28
Applicant: Intel Corporation
Inventor: 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
CPC classification number: G06F9/5016 , G06F9/5061
Abstract: 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:US20180308256A1
公开(公告)日:2018-10-25
申请号:US15494812
申请日:2017-04-24
Applicant: Intel Corporation
Inventor: Abhishek R. Appu , Altug Koker , Joydeep Ray , Balaji Vembu , Prasoonkumar Surti , Kamal Sinha , Nadathur Rajagopalan Satish , Narayan Srinivasa , Feng Chen , Dukhwan Kim , Farshad Akhbari
CPC classification number: G06T9/00 , G06N3/0445 , G06N3/0454 , G06N3/0481 , G06N3/063 , G06N3/084
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.
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公开(公告)号:US20180307983A1
公开(公告)日:2018-10-25
申请号:US15494948
申请日:2017-04-24
Applicant: Intel Corporation
Inventor: Narayan Srinivasa , Joydeep Ray , Nicolas C. Galoppo Von Borries , Ben Ashbaugh , Prasoonkumar Surti , Feng Chen , Barath Lakshmanan , Elmoustapha Ould-Ahmed-Vall , Liwei Ma , Linda L. Hurd , Abhishek R. Appu , John C. Weast , Sara S. Baghsorkhi , Justin E. Gottschlich , Chandrasekaran Sakthivel , Farshad Akhbari , Dukhwan Kim , Altug Koker , Nadathur Rajagopalan Satish
CPC classification number: G06N3/08 , G06N3/04 , G06N3/0454 , G06N3/063 , G06N3/082
Abstract: An apparatus to facilitate optimization of a neural network (NN) is disclosed. The apparatus includes optimization logic to define a NN topology having one or more macro layers, adjust the one or more macro layers to adapt to input and output components of the NN and train the NN based on the one or more macro layers.
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公开(公告)号:US12112397B2
公开(公告)日:2024-10-08
申请号:US18334733
申请日:2023-06-14
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 , G06F9/30 , G06F9/38 , G06N3/04 , G06N3/044 , G06N3/045 , G06N3/063 , G06N3/08 , G06N3/084
CPC classification number: G06T1/20 , G06F9/3001 , G06F9/3017 , G06F9/3851 , G06F9/3887 , G06F9/3895 , G06N3/04 , G06N3/044 , G06N3/045 , G06N3/063 , G06N3/08 , G06N3/084
Abstract: One embodiment provides a parallel processor comprising a hardware scheduler to schedule pipeline commands for compute operations to one or more of multiple types of compute units, a plurality of processing resources including a first sparse compute unit configured for input at a first level of sparsity and hybrid memory circuitry including a memory controller, a memory interface, and a second sparse compute unit configured for input at a second level of sparsity that is greater than the first level of sparsity.
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公开(公告)号:US20240086683A1
公开(公告)日:2024-03-14
申请号:US18471843
申请日:2023-09-21
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
CPC classification number: G06N3/044 , G06F9/5038 , G06N3/045 , G06N3/063 , G06N3/084 , G06F2209/5021
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.
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公开(公告)号:US11809978B2
公开(公告)日:2023-11-07
申请号:US17723074
申请日:2022-04-18
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
CPC classification number: G06N3/044 , G06F9/5038 , G06N3/045 , G06N3/063 , G06N3/084 , G06F2209/5021
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.
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