Patents by Inventor Prasoonkumar Surti
Prasoonkumar Surti 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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Publication number: 20240004833Abstract: In an example, an apparatus comprises a plurality of execution units, and a first memory communicatively couple to the plurality of execution units, wherein the first shared memory is shared by the plurality of execution units and a copy engine to copy context state data from at least a first of the plurality of execution units to the first shared memory. Other embodiments are also disclosed and claimed.Type: ApplicationFiled: July 10, 2023Publication date: January 4, 2024Applicant: Intel CorporationInventors: Altug Koker, Prasoonkumar Surti, David Puffer, Subramaniam Maiyuran, Guei-Yuan Lueh, Abhishek R. Appu, Joydeep Ray, Balaji Vembu, Tomer Bar-On, Andrew T. Lauritzen, Hugues Labbe, John G. Gierach, Gabor Liktor
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Publication number: 20230418617Abstract: Embodiments described herein provide an apparatus comprising a plurality of processing resources including a first processing resource and a second processing resource, a memory communicatively coupled to the first processing resource and the second processing resource, and a processor to receive data dependencies for one or more tasks comprising one or more producer tasks executing on the first processing resource and one or more consumer tasks executing on the second processing resource and move a data output from one or more producer tasks executing on the first processing resource to a cache memory communicatively coupled to the second processing resource. Other embodiments may be described and claimed.Type: ApplicationFiled: June 22, 2023Publication date: December 28, 2023Applicant: INTEL CORPORATIONInventors: Christopher J. HUGHES, Prasoonkumar SURTI, Guei-Yuan LUEH, Adam T. LAKE, Jill BOYCE, Subramaniam MAIYURAN, Lidong XU, James M. HOLLAND, Vasanth RANGANATHAN, Nikos KABURLASOS, Altug KOKER, Abhishek R. Appu
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Publication number: 20230421738Abstract: A mechanism is described for facilitating adaptive resolution and viewpoint-prediction for immersive media in computing environments. An apparatus of embodiments, as described herein, includes one or more processors to receive viewing positions associated with a user with respect to a display, and analyze relevance of media contents based on the viewing positions, where the media content includes immersive videos of scenes captured by one or more cameras. The one or more processors are further to predict portions of the media contents as relevant portions based on the viewing positions and transmit the relevant portions to be rendered and displayed.Type: ApplicationFiled: July 5, 2023Publication date: December 28, 2023Applicant: Intel CorporationInventors: MAYURESH VARERKAR, STANLEY BARAN, MICHAEL APODACA, PRASOONKUMAR SURTI, ATSUO KUWAHARA, NARAYAN BISWAL, JILL BOYCE, YI-JEN CHIU, GOKCEN CILINGIR, BARNAN DAS, ATUL DIVEKAR, SRIKANTH POTLURI, NILESH SHAH, ARCHIE SHARMA
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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: 11856213Abstract: Described herein is a data processing system having a multisample antialiasing compressor coupled to a texture unit and shader execution array. In one embodiment, the data processing system includes a memory device to store a multisample render target, the multisample render target to store color data for a set of sample locations of each pixel in a set of pixels; and general-purpose graphics processor comprising a multisample antialiasing compressor to apply multisample antialiasing compression to color data generated for the set of sample locations of a first pixel in the set of pixels and a multisample render cache to store color data generated for the set of sample locations of the first pixel in the set of pixels, wherein color data evicted from the multisample render cache is to be stored to the multisample render target.Type: GrantFiled: July 12, 2022Date of Patent: December 26, 2023Assignee: Intel CorporationInventors: Prasoonkumar Surti, Abhishek R. Appu, Michael J. Norris, Eric G. Liskay
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Publication number: 20230386130Abstract: One embodiment provides for a graphics processing unit comprising a processing cluster to perform multi-rate shading via coarse pixel shading and output shaded coarse pixels for processing by a post-shader pixel processing pipeline.Type: ApplicationFiled: April 24, 2023Publication date: November 30, 2023Applicant: Intel CorporationInventors: Prasoonkumar Surti, Abhishek R. Appu, Subhajit Dasgupta, Srivallaba Mysore, Michael J. Norris, Vasanth Ranganathan, Joydeep Ray
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Publication number: 20230377209Abstract: Embodiments described herein provided for an instruction and associated logic to enable a processing resource including a tensor accelerator to perform optimized computation of sparse submatrix operations. One embodiment provides a parallel processor comprising a processing cluster coupled with the cache memory. The processing cluster includes a plurality of multiprocessors coupled with a data interconnect, where a multiprocessor of the plurality of multiprocessors includes a tensor core configured to load tensor data and metadata associated with the tensor data from the cache memory, wherein the metadata indicates a first numerical transform applied to the tensor data, perform an inverse transform of the first numerical transform, perform a tensor operation on the tensor data after the inverse transform is performed, and write output of the tensor operation to a memory coupled with the processing cluster.Type: ApplicationFiled: May 23, 2023Publication date: November 23, 2023Applicant: Intel CorporationInventors: ABHISHEK R. APPU, PRASOONKUMAR SURTI, JILL BOYCE, SUBRAMANIAM MAIYURAN, MICHAEL APODACA, ADAM T. LAKE, JAMES HOLLAND, VASANTH RANGANATHAN, ALTUG KOKER, LIDONG XU, NIKOS KABURLASOS
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Publication number: 20230360307Abstract: One embodiment provides a graphics processor comprising a block of execution resources, a cache memory, a cache memory prefetcher, and circuitry including a programmable neural network unit, the programmable neural network unit comprising a network hardware block including circuitry to perform neural network operations and activation operations for a layer of a neural network, the programmable neural network unit addressable by cores within the block of graphics cores and the neural network hardware block configured to perform operations associated with a neural network configured to determine a prefetch pattern for the cache memory prefetcher.Type: ApplicationFiled: May 1, 2023Publication date: November 9, 2023Applicant: Intel CorporationInventors: HUGUES LABBE, DARREL PALKE, SHERINE ABDELHAK, JILL BOYCE, VARGHESE GEORGE, SCOTT JANUS, ADAM LAKE, ZHIJUN LEI, ZHENGMIN LI, MIKE MACPHERSON, CARL MARSHALL, SELVAKUMAR PANNEER, PRASOONKUMAR SURTI, KARTHIK VEERAMANI, DEEPAK VEMBAR, VALLABHAJOSYULA SRINIVASA SOMAYAZULU
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Publication number: 20230359496Abstract: Apparatus and method for stack access throttling for synchronous ray tracing. For example, one embodiment of an apparatus comprises: ray tracing acceleration hardware to manage active ray tracing stack allocations to ensure that a size of the active ray tracing stack allocations remains within a threshold; and an execution unit to execute a thread to explicitly request a new ray tracing stack allocation from the ray tracing acceleration hardware, the ray tracing acceleration hardware to permit the new ray tracing stack allocation if the size of the active ray tracing stack allocations will remain within the threshold after permitting the new ray tracing stack allocation.Type: ApplicationFiled: January 31, 2022Publication date: November 9, 2023Inventors: PAWEL MAJEWSKI, PRASOONKUMAR SURTI, KARTHIK VAIDYANATHAN, JOSHUA BARCZAK, VASANTH RANGANATHAN, VIKRANTH VEMULAPALLI
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Patent number: 11810405Abstract: 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: GrantFiled: November 30, 2021Date of Patent: November 7, 2023Assignee: 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: 11810222Abstract: Systems and methods may provide for receiving a pixel shader and sending the pixel shader to shader bypass hardware if the pixel shader and a render target associated with the pixel shader satisfy a simplicity condition. In one example, the shader bypass hardware is dedicated to pixel shaders and associated render targets that satisfy the simplicity condition.Type: GrantFiled: November 8, 2021Date of Patent: November 7, 2023Assignee: Intel CorporationInventors: Prasoonkumar Surti, Larry Seiler, Adam Z. Leibel
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Publication number: 20230351543Abstract: Embodiments described herein include, software, firmware, and hardware logic that provides techniques to perform arithmetic on sparse data via a systolic processing unit. Embodiment described herein provided techniques to detect zero value elements within a vector or a set of packed data elements output by a processing resource and generate metadata to indicate a location of the zero value elements within the plurality of data elements.Type: ApplicationFiled: May 2, 2023Publication date: November 2, 2023Applicant: Intel CorporationInventors: Joydeep Ray, Scott Janus, Varghese George, Subramaniam Maiyuran, Altug Koker, Abhishek Appu, Prasoonkumar Surti, Vasanth Ranganathan, Valentin Andrei, Ashutosh Garg, Yoav Harel, Arthur Hunter, JR., SungYe Kim, Mike Macpherson, Elmoustapha Ould-Ahmed-Vall, William Sadler, Lakshminarayanan Striramassarma, Vikranth Vemulapalli
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Publication number: 20230343023Abstract: Systems, apparatuses and methods may provide for technology that selects an anti-aliasing mode for a vertex of a primitive based on a parameter associated with the vertex and generates a coverage mask based on the selected anti-aliasing mode. Additionally, one or more pixels corresponding to the vertex may be shaded based at least partly on the coverage mask, wherein the selected anti-aliasing mode varies across a plurality of vertices in the primitive.Type: ApplicationFiled: April 25, 2023Publication date: October 26, 2023Applicant: Intel CorporationInventors: Prasoonkumar Surti, Abhishek R. Appu, Joydeep Ray
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Patent number: 11797837Abstract: 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: April 24, 2017Date of Patent: October 24, 2023Assignee: Intel CorporationInventors: Altug Koker, Abhishek R. Appu, Kamal Sinha, Joydeep Ray, Balaji Vembu, Elmoustapha Ould-Ahmed-Vall, Sara S. Baghsorkhi, Anbang Yao, Kevin Nealis, Xiaoming Chen, John C. Weast, Justin E. Gottschlich, Prasoonkumar Surti, Chandrasekaran Sakthivel, Farshad Akhbari, Nadathur Rajagopalan Satish, Liwei Ma, Jeremy Bottleson, Eriko Nurvitadhi, Travis T. Schluessler, Ankur N. Shah, Jonathan Kennedy, Vasanth Ranganathan, Sanjeev Jahagirdar
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Patent number: 11798198Abstract: Embodiments are generally directed to compression in machine learning and deep learning processing. An embodiment of an apparatus for compression of untyped data includes a graphical processing unit (GPU) including a data compression pipeline, the data compression pipeline including a data port coupled with one or more shader cores, wherein the data port is to allow transfer of untyped data without format conversion, and a 3D compression/decompression unit to provide for compression of untyped data to be stored to a memory subsystem and decompression of untyped data from the memory subsystem.Type: GrantFiled: January 10, 2023Date of Patent: October 24, 2023Assignee: INTEL CORPORATIONInventors: Joydeep Ray, Ben Ashbaugh, Prasoonkumar Surti, Pradeep Ramani, Rama Harihara, Jerin C. Justin, Jing Huang, Xiaoming Cui, Timothy B. Costa, Ting Gong, Elmoustapha Ould-ahmed-vall, Kumar Balasubramanian, Anil Thomas, Oguz H. Elibol, Jayaram Bobba, Guozhong Zhuang, Bhavani Subramanian, Gokce Keskin, Chandrasekaran Sakthivel, Rajesh Poornachandran
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Publication number: 20230334316Abstract: Described herein is a graphics processor comprising a memory device and a graphics processing cluster coupled with the memory device. The graphics processing cluster includes a plurality of graphics multiprocessors interconnected via a data interconnect. A graphics multiprocessor includes circuitry configured to load a modular neural network including a plurality of subnetworks, each of the plurality of subnetworks trained to perform a computer vision operation on a separate subject.Type: ApplicationFiled: May 9, 2023Publication date: October 19, 2023Applicant: Intel CorporationInventors: Altug Koker, Abhishek R. Appu, Kamal Sinha, Joydeep Ray, Balaji Vembu, Elmoustapha Ould-Ahmed-Vall, Sara S. Baghsorkhi, Anbang Yao, Kevin Nealis, Xiaoming Chen, John C. Weast, Justin E. Gottschlich, Prasoonkumar Surti, Chandrasekaran Sakthivel, Farshad Akhbari, Nadathur Rajagopalan Satish, Liwei Ma, Jeremy Bottleson, Eriko Nurvitadhi, Travis T. Schluessler, Ankur N. Shah, Jonathan Kennedy, Vasanth Ranganathan, Sanjeev Jahagirdar
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Patent number: 11783530Abstract: Apparatus and method for grouping rays based on quantized ray directions. For example, one embodiment of an apparatus comprises: An apparatus comprising: a ray generator to generate a plurality of rays; ray direction evaluation circuitry/logic to generate approximate ray direction data for each of the plurality of rays; ray sorting circuitry/logic to sort the rays into a plurality of ray queues based, at least in part, on the approximate ray direction data.Type: GrantFiled: February 22, 2022Date of Patent: October 10, 2023Assignee: INTEL CORPORATIONInventors: Karol Szerszen, Prasoonkumar Surti, Gabor Liktor, Karthik Vaidyanathan, Sven Woop
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Patent number: 11775195Abstract: An apparatus to facilitate copying surface data is disclosed. The apparatus includes copy engine hardware to receive a command to access surface data from a source location in memory to a destination location in the memory, divide the surface data into a plurality of surface data sub-blocks, process the surface data sub-blocks to calculate virtual addresses to which accesses to the memory are to be performed and perform the memory accesses.Type: GrantFiled: April 5, 2022Date of Patent: October 3, 2023Assignee: Intel CorporationInventors: Prasoonkumar Surti, Nilay Mistry
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Publication number: 20230297440Abstract: Described herein is a partitionable graphics processor having a plurality of flexibly partitioned processing resources. One embodiment provides a graphics processor comprising a plurality of processing resources configurable to be flexibly partitioned into a plurality of resource partitions and circuitry to compose multiple graphics processor device partitions from the plurality of resource partitions. The multiple graphics processor device partitions are configurable to be asymmetrically composed of different types of functional units.Type: ApplicationFiled: May 27, 2022Publication date: September 21, 2023Applicant: Intel CorporationInventors: David Cowperthwaite, Kenneth Daxer, Jeffery S. Boles, Hema Chand Nalluri, Aditya Navale, Prasoonkumar Surti, Arthur Hunter, Vasanth Ranganathan, Joydeep Ray, David Puffer, Aravindh Anantaraman, Ankur Shah, Vidhya Krishnan, Kritika Bala
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Publication number: 20230297421Abstract: Described herein is a partitional graphics processor having multiple hard partitions with separate software execution and fault domains. One embodiment provides a graphics processor comprising a system interface and a plurality of graphics processing resources coupled with the system interface. The plurality of graphics processing resources is configurable to be partitioned into a plurality of isolated device partitions, each isolated device partition configured for fault isolation and independent concurrent execution of workloads associated with a plurality of clients, and the system interface is configured to present each of the plurality of isolated device partitions as a virtual function.Type: ApplicationFiled: May 27, 2022Publication date: September 21, 2023Applicant: Intel CorporationInventors: David Cowperthwaite, Kenneth Daxer, Aditya Navale, Prasoonkumar Surti, Arthur Hunter, Hema Chand Nalluri, Jeffery S. Boles, Vasanth Ranganathan, Joydeep Ray, David Puffer, Aravindh Anantaraman, Ankur Shah, Vidhya Krishnan, Kritika Bala, Michael Apodaca
