Patents by Inventor Linda L. Hurd
Linda L. Hurd has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11348198Abstract: 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.Type: GrantFiled: January 11, 2021Date of Patent: May 31, 2022Assignee: Intel CorporationInventors: 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
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Publication number: 20220156876Abstract: 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.Type: ApplicationFiled: November 18, 2021Publication date: May 19, 2022Applicant: Intel CorporationInventors: 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
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Patent number: 11334962Abstract: An apparatus to facilitate compute optimization is disclosed. The apparatus includes a plurality of processing units each comprising a plurality of processing cores of a first type and a second type. A first set of processing cores of a first type perform multi-dimensional matrix operations and a second set of processing cores of a second type perform general purpose graphics processing unit (GPGPU) operations.Type: GrantFiled: July 26, 2021Date of Patent: May 17, 2022Assignee: Intel CorporationInventors: 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
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Patent number: 11308574Abstract: Embodiments described herein provide a graphics processor that can perform a variety of mixed and multiple precision instructions and operations. One embodiment provides a streaming multiprocessor that can concurrently execute multiple thread groups, wherein the streaming multiprocessor includes a single instruction, multiple thread (SIMT) architecture and the streaming multiprocessor is to execute multiple threads for each of multiple instructions. The streaming multiprocessor can perform concurrent integer and floating-point operations and includes a mixed precision core to perform operations at multiple precisions.Type: GrantFiled: August 3, 2020Date of Patent: April 19, 2022Assignee: Intel CorporationInventors: Elmoustapha Ould-Ahmed-Vall, Sara S. Baghsorkhi, Anbang Yao, Kevin Nealis, Xiaoming Chen, Altug Koker, Abhishek R. Appu, John C. Weast, Mike B. Macpherson, Dukhwan Kim, Linda L. Hurd, Ben J. Ashbaugh, Barath Lakshmanan, Liwei Ma, Joydeep Ray, Ping T. Tang, Michael S. Strickland
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Publication number: 20220084329Abstract: An autonomous vehicle is provided that includes one or more processors configured to provide a local compute manager to manage execution of compute workloads associated with the autonomous vehicle. The local compute manager can perform various compute operations, including receiving offload of compute operations from to other compute nodes and offloading compute operations to other compute notes, where the other compute nodes can be other autonomous vehicles. The local compute manager can also facilitate autonomous navigation functionality.Type: ApplicationFiled: November 30, 2021Publication date: March 17, 2022Applicant: Intel CorporationInventors: Barath LAKSHAMANAN, Linda L. HURD, Ben J. ASHBAUGH, Elmoustapha OULD-AHMED-VALL, Liwei MA, Jingyi JIN, Justin E. GOTTSCHLICH, Chandrasekaran SAKTHIVEL, Michael S. STRICKLAND, Brian T. LEWIS, Lindsey KUPER, Altug KOKER, Abhishek R. APPU, Prasoonkumar SURTI, Joydeep RAY, Balaji VEMBU, Javier S. TUREK, Naila FAROOQUI
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Patent number: 11270405Abstract: An apparatus to facilitate compute optimization is disclosed. The apparatus includes a mixed precision core to perform a mixed precision multi-dimensional matrix multiply and accumulate operation on 8-bit and/or 32 bit signed or unsigned integer elements.Type: GrantFiled: August 3, 2020Date of Patent: March 8, 2022Assignee: Intel CorporationInventors: 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
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Patent number: 11263720Abstract: A control surface tracks an individual cacheline in the original surface for frequent data values. If so, control surface bits are set. When reading a cacheline from memory, first the control surface bits are read. If they happen to be set, then the original memory read is skipped altogether and instead the bits from the control surface provide the value for the entire cacheline.Type: GrantFiled: August 5, 2020Date of Patent: March 1, 2022Assignee: Intel CorporationInventors: Saurabh Sharma, Abhishek Venkatesh, Travis T. Schluessler, Prasoonkumar Surti, Altug Koker, Aravindh V. Anantaraman, Pattabhiraman P. K., Abhishek R. Appu, Joydeep Ray, Kamal Sinha, Vasanth Ranganathan, Bhushan M. Borole, Wenyin Fu, Eric J. Hoekstra, Linda L. Hurd
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Patent number: 11222392Abstract: 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.Type: GrantFiled: August 5, 2019Date of Patent: January 11, 2022Assignee: Intel CorporationInventors: 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
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Patent number: 11217040Abstract: One embodiment provides for a computing device within an autonomous vehicle, the compute device comprising a wireless network device to enable a wireless data connection with an autonomous vehicle network, a set of multiple processors including a general-purpose processor and a general-purpose graphics processor, the set of multiple processors to execute a compute manager to manage execution of compute workloads associated with the autonomous vehicle, the compute workload associated with autonomous operations of the autonomous vehicle, and offload logic configured to execute on the set of multiple processors, the offload logic to determine to offload one or more of the compute workloads to one or more autonomous vehicles within range of the wireless network device.Type: GrantFiled: April 15, 2019Date of Patent: January 4, 2022Assignee: Intel CorporationInventors: Barath Lakshamanan, Linda L. Hurd, Ben J. Ashbaugh, Elmoustapha Ould-Ahmed-Vall, Liwei Ma, Jingyi Jin, Justin E. Gottschlich, Chandrasekaran Sakthivel, Michael S. Strickland, Brian T. Lewis, Lindsey Kuper, Altug Koker, Abhishek R. Appu, Prasoonkumar Surti, Joydeep Ray, Balaji Vembu, Javier S. Turek, Naila Farooqui
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Publication number: 20210405729Abstract: A system includes multiple processors and a power controller. Each processor includes a throttling engine. The power controller is to, in response to a determination that a first power consumption level exceeds a first threshold, assert a critical signal to each throttling engine of the plurality of processors. Further, for each processor, the throttling engine of the processor is to perform a sequence of multiple throttling states while the critical signal is asserted by the power controller, where the sequence of multiple throttling states is performed according to a state machine of the throttling engine. Other embodiments are described and claimed.Type: ApplicationFiled: June 27, 2020Publication date: December 30, 2021Inventors: AHMED ABOU-ALFOTOUH, PHANI KUMAR KANDULA, LINDA L. HURD, ERIC C. SAMSON, SRIKRISHNAN VENKATARAMAN
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Publication number: 20210390654Abstract: 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.Type: ApplicationFiled: June 23, 2021Publication date: December 16, 2021Applicant: Intel CorporationInventors: 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
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Publication number: 20210349715Abstract: In an example, an apparatus comprises a plurality of execution units, and a first general register file (GRF) communicatively couple to the plurality of execution units, wherein the first GRF is shared by the plurality of execution units. Other embodiments are also disclosed and claimed.Type: ApplicationFiled: May 12, 2021Publication date: November 11, 2021Applicant: Intel CorporationInventors: Abhishek R. Appu, Altug Koker, Joydeep Ray, Kamal Sinha, Kiran C. Veernapu, Subramaniam Maiyuran, Prasoonkumar Surti, Guei-Yuan Lueh, David Puffer, Supratim Pal, Eric J. Hoekstra, Travis T. Schluessler, Linda L. Hurd
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Publication number: 20210350499Abstract: An apparatus to facilitate compute optimization is disclosed. The apparatus includes a plurality of processing units each comprising a plurality of processing cores of a first type and a second type. A first set of processing cores of a first type perform multi-dimensional matrix operations and a second set of processing cores of a second type perform general purpose graphics processing unit (GPGPU) operations.Type: ApplicationFiled: July 26, 2021Publication date: November 11, 2021Applicant: Intel CorporationInventors: 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
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Patent number: 11169850Abstract: 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.Type: GrantFiled: December 24, 2019Date of Patent: November 9, 2021Assignee: INTEL CORPORATIONInventors: 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
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Publication number: 20210343064Abstract: Briefly, in accordance with one or more embodiments, a processor receives an incoming data stream that includes alpha channel data, and a memory stores an application programming interface (API). The API is to route the alpha channel data to a fixed point blending unit to perform one or more blending operations using fixed point representation of the alpha channel data. The API is further to route the incoming data stream to a floating point blending unit to perform operations involving floating point representation of the incoming data.Type: ApplicationFiled: May 17, 2021Publication date: November 4, 2021Applicant: Intel CorporationInventors: Abhishek R. Appu, Prasoonkumar Surti, Srivallaba Mysore, Subhajit Dasgupta, Hiroshi Akiba, Eric J. Hoekstra, Linda L. Hurd, Travis T. Schluessler, Daren J. Schmidt
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Publication number: 20210334637Abstract: In an example, an apparatus comprises a compute engine comprising a high precision component and a low precision component; and logic, at least partially including hardware logic, to receive instructions in the compute engine; select at least one of the high precision component or the low precision component to execute the instructions; and apply a gate to at least one of the high precision component or the low precision component to execute the instructions. Other embodiments are also disclosed and claimed.Type: ApplicationFiled: May 11, 2021Publication date: October 28, 2021Applicant: INTEL CORPORATIONInventors: Kamal Sinha, Balaji Vembu, Eriko Nurvitadhi, Nicolas C. Galoppo Von Borries, Rajkishore Barik, Tsung-Han Lin, Joydeep Ray, Ping T. Tang, Michael S. Strickland, Xiaoming Chen, Anbang Yao, Tatiana Shpeisman, Abhishek R. Appu, Altug Koker, Farshad Akhbari, Narayan Srinivasa, Feng Chen, Dukhwan Kim, Nadathur Rajagopalan Satish, John C. Weast, Mike B. MacPherson, Linda L. Hurd, Vasanth Ranganathan, Sanjeev S. Jahagirdar
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Publication number: 20210312586Abstract: An embodiment of a graphics apparatus may include a context engine to determine contextual information, a recommendation engine communicatively coupled to the context engine to determine a recommendation based on the contextual information, and a configuration engine communicatively coupled to the recommendation engine to adjust a configuration of a graphics operation based on the recommendation. Other embodiments are disclosed and claimed.Type: ApplicationFiled: February 19, 2021Publication date: October 7, 2021Inventors: Joydeep Ray, Ankur N. Shah, Abhishek R. Appu, Deepak S. Vembar, ElMoustapha Ould-Ahmed-Vall, Atsuo Kuwahara, Travis T. Schluessler, Linda L. Hurd, Josh B. Mastronarde, Vasanth Ranganathan
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Patent number: 11138686Abstract: Embodiments described herein provide a graphics processor that can perform a variety of mixed and multiple precision instructions and operations. One embodiment provides a streaming multiprocessor that can concurrently execute multiple thread groups, wherein the streaming multiprocessor includes a single instruction, multiple thread (SIMT) architecture and the streaming multiprocessor is to execute multiple threads for each of multiple instructions. The streaming multiprocessor can perform concurrent integer and floating-point operations and includes a mixed precision core to perform operations at multiple precisions.Type: GrantFiled: June 19, 2019Date of Patent: October 5, 2021Assignee: Intel CorporationInventors: Elmoustapha Ould-Ahmed-Vall, Sara S. Baghsorkhi, Anbang Yao, Kevin Nealis, Xiaoming Chen, Altug Koker, Abhishek R. Appu, John C. Weast, Mike B. Macpherson, Dukhwan Kim, Linda L. Hurd, Ben J. Ashbaugh, Barath Lakshmanan, Liwei Ma, Joydeep Ray, Ping T. Tang, Michael S. Strickland
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Publication number: 20210279571Abstract: 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.Type: ApplicationFiled: February 17, 2021Publication date: September 9, 2021Applicant: Intel CorporationInventors: Narayan Srinivasa, Joydeep Ray, Nicolas C. Galoppo Von Borries, Ben J. 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
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Publication number: 20210241417Abstract: 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.Type: ApplicationFiled: January 11, 2021Publication date: August 5, 2021Applicant: Intel CorporationInventors: 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