Patents by Inventor Wenyin Fu
Wenyin Fu 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: 11922535Abstract: Embodiments provide mechanisms to facilitate compute operations for deep neural networks. One embodiment comprises a graphics processing unit comprising one or more multiprocessors, at least one of the one or more multiprocessors including a register file to store a plurality of different types of operands and a plurality of processing cores. The plurality of processing cores includes a first set of processing cores of a first type and a second set of processing cores of a second type. The first set of processing cores are associated with a first memory channel and the second set of processing cores are associated with a second memory channel.Type: GrantFiled: February 13, 2023Date of Patent: March 5, 2024Assignee: 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: 20240004713Abstract: 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: ApplicationFiled: August 1, 2023Publication date: January 4, 2024Applicant: 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: 20230418355Abstract: Methods and apparatus relating to techniques for avoiding cache lookup for cold cache. In an example, an apparatus comprises logic, at least partially comprising hardware logic, to collect user information for a user of a data processing device, generate a user profile for the user of the data processing device from the user information, and set a power profile a processor in the data processing device using the user profile. Other embodiments are also disclosed and claimed.Type: ApplicationFiled: June 22, 2023Publication date: December 28, 2023Applicant: INTEL CORPORATIONInventors: Altug Koker, Abhishek R. Appu, Kiran C. Veernapu, Joydeep Ray, Balaji Vembu, Prasoonkumar Surti, Kamal Sinha, Eric J. Hoekstra, Wenyin Fu, Nikos Kaburlasos, Bhushan M. Borole, Travis T. Schluessler, Ankur N. Shah, Jonathan Kennedy
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Patent number: 11762696Abstract: 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: November 5, 2021Date of Patent: September 19, 2023Assignee: 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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Patent number: 11733758Abstract: Methods and apparatus relating to techniques for avoiding cache lookup for cold cache. In an example, an apparatus comprises logic, at least partially comprising hardware logic, to collect user information for a user of a data processing device, generate a user profile for the user of the data processing device from the user information, and set a power profile a processor in the data processing device using the user profile. Other embodiments are also disclosed and claimed.Type: GrantFiled: August 25, 2021Date of Patent: August 22, 2023Assignee: INTEL CORPORATIONInventors: Altug Koker, Abhishek R. Appu, Kiran C. Veernapu, Joydeep Ray, Balaji Vembu, Prasoonkumar Surti, Kamal Sinha, Eric J. Hoekstra, Wenyin Fu, Nikos Kaburlasos, Bhushan M. Borole, Travis T. Schluessler, Ankur N. Shah, Jonathan Kennedy
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Publication number: 20230260072Abstract: Embodiments provide mechanisms to facilitate compute operations for deep neural networks. One embodiment comprises a graphics processing unit comprising one or more multiprocessors, at least one of the one or more multiprocessors including a register file to store a plurality of different types of operands and a plurality of processing cores. The plurality of processing cores includes a first set of processing cores of a first type and a second set of processing cores of a second type. The first set of processing cores are associated with a first memory channel and the second set of processing cores are associated with a second memory channel.Type: ApplicationFiled: February 13, 2023Publication date: August 17, 2023Applicant: 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: 11593910Abstract: Embodiments provide mechanisms to facilitate compute operations for deep neural networks. One embodiment comprises a graphics processing unit comprising one or more multiprocessors, at least one of the one or more multiprocessors including a register file to store a plurality of different types of operands and a plurality of processing cores. The plurality of processing cores includes a first set of processing cores of a first type and a second set of processing cores of a second type. The first set of processing cores are associated with a first memory channel and the second set of processing cores are associated with a second memory channel.Type: GrantFiled: May 11, 2022Date of Patent: February 28, 2023Assignee: 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: 11587273Abstract: Methods and apparatus relating to techniques for provision of low power foveated rendering to save power on GPU (Graphics Processing Unit) and/or display are described. In various embodiment, brightness/contrast, color intensity, and/or compression ratio applied to pixels in a fovea region are different than those applied in regions surrounding the fovea region. Other embodiments are also disclosed and claimed.Type: GrantFiled: September 15, 2021Date of Patent: February 21, 2023Assignee: Intel CorporationInventors: Prasoonkumar Surti, Wenyin Fu, Nikos Kaburlasos, Jacek Kwiatkowski, Travis T. Schluessler, John H. Feit, Joydeep Ray
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Patent number: 11562461Abstract: 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: GrantFiled: November 18, 2021Date of Patent: January 24, 2023Assignee: 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: 11520555Abstract: An embodiment of a graphics apparatus may include a processor, memory communicatively coupled to the processor, and a collaboration engine communicatively coupled to the processor to identify a shared graphics component between two or more users in an environment, and share the shared graphics components with the two or more users in the environment. Embodiments of the collaboration engine may include one or more of a centralized sharer, a depth sharer, a shared preprocessor, a multi-port graphics subsystem, and a decode sharer. Other embodiments are disclosed and claimed.Type: GrantFiled: January 29, 2021Date of Patent: December 6, 2022Assignee: Intel CorporationInventors: Deepak S. Vembar, Atsuo Kuwahara, Chandrasekaran Sakthivel, Radhakrishnan Venkataraman, Brent E. Insko, Anupreet S. Kalra, Hugues Labbe, Altug Koker, Michael Apodaca, Kai Xiao, Jeffery S. Boles, Adam T. Lake, David M. Cimini, Balaji Vembu, Elmoustapha Ould-Ahmed-Vall, Jacek Kwiatkowski, Philip R. Laws, Ankur N. Shah, Abhishek R. Appu, Joydeep Ray, Wenyin Fu, Nikos Kaburlasos, Prasoonkumar Surti, Bhushan M. Borole
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Publication number: 20220335562Abstract: Embodiments provide mechanisms to facilitate compute operations for deep neural networks. One embodiment comprises a graphics processing unit comprising one or more multiprocessors, at least one of the one or more multiprocessors including a register file to store a plurality of different types of operands and a plurality of processing cores. The plurality of processing cores includes a first set of processing cores of a first type and a second set of processing cores of a second type. The first set of processing cores are associated with a first memory channel and the second set of processing cores are associated with a second memory channel.Type: ApplicationFiled: May 11, 2022Publication date: October 20, 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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Publication number: 20220206853Abstract: 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: ApplicationFiled: November 5, 2021Publication date: June 30, 2022Applicant: 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: 20220197362Abstract: In one embodiment, a processor includes: a graphics processor to execute a workload; and a power controller coupled to the graphics processor. The power controller may include a voltage ramp circuit to receive a request for the graphics processor to operate at a first performance state having a first operating voltage and a first operating frequency and cause an output voltage of a voltage regulator to increase to the first operating voltage. The voltage ramp circuit may be configured to enable the graphics processor to execute the workload at an interim performance state having an interim operating voltage and an interim operating frequency when the output voltage reaches a minimum operating voltage. Other embodiments are described and claimed.Type: ApplicationFiled: November 2, 2021Publication date: June 23, 2022Inventors: Altug Koker, Abhishek R. Appu, Bhushan M. Borole, Wenyin Fu, Kamal Sinha, Joydeep Ray
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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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Publication number: 20220113783Abstract: Methods and apparatus relating to techniques for avoiding cache lookup for cold cache. In an example, an apparatus comprises logic, at least partially comprising hardware logic, to collect user information for a user of a data processing device, generate a user profile for the user of the data processing device from the user information, and set a power profile a processor in the data processing device using the user profile. Other embodiments are also disclosed and claimed.Type: ApplicationFiled: August 25, 2021Publication date: April 14, 2022Applicant: INTEL CORPORATIONInventors: Altug Koker, Abhishek R. Appu, Kiran C. Veernapu, Joydeep Ray, Balaji Vembu, Prasoonkumar Surti, Kamal Sinha, Eric J. Hoekstra, Wenyin Fu, Nikos Kaburlasos, Bhushan M. Borole, Travis T. Schluessler, Ankur N. Shah, Jonathan Kennedy
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Publication number: 20220076467Abstract: Methods and apparatus relating to techniques for provision of low power foveated rendering to save power on GPU (Graphics Processing Unit) and/or display are described. In various embodiment, brightness/contrast, color intensity, and/or compression ratio applied to pixels in a fovea region are different than those applied in regions surrounding the fovea region. Other embodiments are also disclosed and claimed.Type: ApplicationFiled: September 15, 2021Publication date: March 10, 2022Applicant: Intel CorporationInventors: Prasoonkumar Surti, Wenyin Fu, Nikos Kaburlasos, Jacek Kwiatkowski, Travis T. Schluessler, John H. Feit, Joydeep Ray
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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: 11263152Abstract: A hybrid hierarchical cache is implemented at the same level in the access pipeline, to get the faster access behavior of a smaller cache and, at the same time, a higher hit rate at lower power for a larger cache, in some embodiments. A split cache at the same level in the access pipeline includes two caches that work together. In the hybrid, split, low level cache (e.g., L1) evictions are coordinated locally between the two L1 portions, and on a miss to both L1 portions, a line is allocated from a larger L2 cache to the smallest L1 cache.Type: GrantFiled: May 22, 2020Date of Patent: March 1, 2022Assignee: Intel CorporationInventors: Abhishek R. Appu, Joydeep Ray, James A. Valerio, Altug Koker, Prasoonkumar Surti, Balaji Vembu, Wenyin Fu, Bhushan M. Borole, Kamal Sinha