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).

  • Publication number: 20240355032
    Abstract: An embodiment of an electronic processing system may include an application processor, persistent storage media communicatively coupled to the application processor, and a graphics subsystem communicatively coupled to the application processor. The graphics subsystem may include a first graphics engine to process a graphics workload, and a second graphics engine to offload at least a portion of the graphics workload from the first graphics engine. The second graphics engine may include a low precision compute engine. The system may further include a wearable display housing the second graphics engine. Other embodiments are disclosed and claimed.
    Type: Application
    Filed: February 8, 2024
    Publication date: October 24, 2024
    Inventors: Atsuo Kuwahara, Deepak S. Vembar, Chandrasekaran Sakthivel, Radhakrishnan Venkataraman, Brent E. Insko, Anupreet S. Kalra, Hugues Labbe, Abhishek R. Appu, Ankur N. Shah, Joydeep Ray, Elmoustapha Ould-Ahmed-Vall, Prasoonkumar Surti, Murali Ramadoss
  • Patent number: 12124310
    Abstract: 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: Grant
    Filed: June 22, 2023
    Date of Patent: October 22, 2024
    Assignee: INTEL CORPORATION
    Inventors: 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
  • Publication number: 20240345990
    Abstract: Multi-tile Memory Management for Detecting Cross Tile Access, Providing Multi-Tile Inference Scaling with multicasting of data via copy operation, and Providing Page Migration are disclosed herein. In one embodiment, a graphics processor for a multi-tile architecture includes a first graphics processing unit (GPU) having a memory and a memory controller, a second graphics processing unit (GPU) having a memory and a cross-GPU fabric to communicatively couple the first and second GPUs. The memory controller is configured to determine whether frequent cross tile memory accesses occur from the first GPU to the memory of the second GPU in the multi-GPU configuration and to send a message to initiate a data transfer mechanism when frequent cross tile memory accesses occur from the first GPU to the memory of the second GPU.
    Type: Application
    Filed: April 4, 2024
    Publication date: October 17, 2024
    Applicant: Intel Corporation
    Inventors: Lakshminarayanan Striramassarma, Prasoonkumar Surti, Varghese George, Ben Ashbaugh, Aravindh Anantaraman, Valentin Andrei, Abhishek Appu, Nicolas Galoppo Von Borries, Altug Koker, Mike Macpherson, Subramaniam Maiyuran, Nilay Mistry, Elmoustapha Ould-Ahmed-Vall, Selvakumar Panneer, Vasanth Ranganathan, Joydeep Ray, Ankur Shah, Saurabh Tangri
  • Patent number: 12118654
    Abstract: One embodiment provides a graphics processor comprising an interface to a system interconnect and a graphics processor coupled to the interface, the graphics processor comprising circuitry configured to compact sample data for multiple sample locations of a pixel, map the multiple sample locations to memory locations that store compacted sample data, the memory locations in a memory of the graphics processor, apply lossless compression to the compacted sample data, and update a compression control surface associated with the memory locations, the compression control surface to specify a compression status for the memory locations.
    Type: Grant
    Filed: October 6, 2022
    Date of Patent: October 15, 2024
    Assignee: Intel Corporation
    Inventors: Abhishek R. Appu, Prasoonkumar Surti, Joydeep Ray, Michael J. Norris
  • Patent number: 12118756
    Abstract: A mechanism is described for facilitating smart compression/decompression schemes at computing devices. A method of embodiments, as described herein, includes unifying a first compression scheme relating to three-dimensional (3D) content and a second compression scheme relating to media content into a unified compression scheme to perform compression of one or more of the 3D content and the media content relating to a processor including a graphics processor.
    Type: Grant
    Filed: June 21, 2022
    Date of Patent: October 15, 2024
    Assignee: INTEL CORPORATION
    Inventors: Abhishek R. Appu, Kiran C. Veernapu, Prasoonkumar Surti, Joydeep Ray, Altug Koker, Eric G. Liskay
  • Patent number: 12108239
    Abstract: Systems, apparatuses and methods may provide away to render augmented reality (AR) and/or virtual reality (VR) sensory enhancements using ray tracing. More particularly, systems, apparatuses and methods may provide a way to normalize environment information captured by multiple capture devices, and calculate, for an observer, the sound sources or sensed events vector paths. The systems, apparatuses and methods may detect and/or manage one or more capture devices and assign one or more the capture devices based on one or more conditions to provide observer an immersive VR/AR experience.
    Type: Grant
    Filed: August 2, 2022
    Date of Patent: October 1, 2024
    Assignee: Intel Corporation
    Inventors: Joydeep Ray, Travis T. Schluessler, Prasoonkumar Surti, John H. Feit, Nikos Kaburlasos, Jacek Kwiatkowski, Abhishek R. Appu, James M. Holland, Jeffery S. Boles, Jonathan Kennedy, Louis Feng, Atsuo Kuwahara, Barnan Das, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Mayuresh M. Varerkar
  • Publication number: 20240320184
    Abstract: Embodiments are generally directed to a multi-tile architecture for graphics operations. An embodiment of an apparatus includes a multi-tile architecture for graphics operations including a multi-tile graphics processor, the multi-tile processor includes one or more dies; multiple processor tiles installed on the one or more dies; and a structure to interconnect the processor tiles on the one or more dies, wherein the structure to enable communications between processor tiles the processor tiles.
    Type: Application
    Filed: March 28, 2024
    Publication date: September 26, 2024
    Applicant: Intel Corporation
    Inventors: Altug Koker, Ben Ashbaugh, Scott Janus, Aravindh Anantaraman, Abhishek R. Appu, Niranjan Cooray, Varghese George, Arthur Hunter, Brent E. Insko, Elmoustapha Ould-Ahmed-Vall, Selvakumar Panneer, Vasanth Ranganathan, Joydeep Ray, Kamal Sinha, Lakshminarayanan Striramassarma, Prasoonkumar Surti, Saurabh Tangri
  • Patent number: 12100103
    Abstract: Methods, systems and apparatuses provide for graphics processor technology that generates attribute plane coefficients based on barycentric coefficients, wherein the attribute plane coefficients are generated on a per polygon basis, and interpolates one or more pixel attributes based on the attribute plane coefficients. In one example, the technology excludes the barycentric coefficients from one or more per pixel operations.
    Type: Grant
    Filed: July 30, 2021
    Date of Patent: September 24, 2024
    Assignee: Intel Corporation
    Inventors: Eric Hoekstra, Prasoonkumar Surti, Abhishek R. Appu, Subramaniam Maiyuran, Kalyan Bhiravabhatla
  • Patent number: 12099461
    Abstract: Methods and apparatus relating to techniques for multi-tile memory management. In an example, an apparatus comprises a cache memory, a high-bandwidth memory, a shader core communicatively coupled to the cache memory and comprising a processing element to decompress a first data element extracted from an in-memory database in the cache memory and having a first bit length to generate a second data element having a second bit length, greater than the first bit length, and an arithmetic logic unit (ALU) to compare the data element to a target value provided in a query of the in-memory database. Other embodiments are also disclosed and claimed.
    Type: Grant
    Filed: March 14, 2020
    Date of Patent: September 24, 2024
    Assignee: INTEL CORPORATION
    Inventors: Abhishek R. Appu, Altug Koker, Aravindh Anantaraman, Elmoustapha Ould-Ahmed-Vall, Valentin Andrei, Nicolas Galoppo Von Borries, Varghese George, Mike Macpherson, Subramaniam Maiyuran, Joydeep Ray, Lakshminarayanan Striramassarma, Scott Janus, Brent Insko, Vasanth Ranganathan, Kamal Sinha, Arthur Hunter, Prasoonkumar Surti, David Puffer, James Valerio, Ankur N. Shah
  • Patent number: 12094048
    Abstract: Embodiments are generally directed to multi-tile graphics processor rendering. An embodiment of an apparatus includes a memory for storage of data; and one or more processors including a graphics processing unit (GPU) to process data, wherein the GPU includes a plurality of GPU tiles, wherein, upon geometric data being assigned to each of a plurality of screen tiles, the apparatus is to transfer the geometric data to the plurality of GPU tiles.
    Type: Grant
    Filed: October 8, 2021
    Date of Patent: September 17, 2024
    Assignee: INTEL CORPORATION
    Inventors: Prasoonkumar Surti, Arthur Hunter, Kamal Sinha, Scott Janus, Brent Insko, Vasanth Ranganathan, Lakshminarayanan Striramassarma
  • Patent number: 12086120
    Abstract: Embodiments are generally directed to compression for compression for sparse data structures utilizing mode search approximation. An embodiment of an apparatus includes one or more processors including a graphics processor to process data; and a memory for storage of data, including compressed data. The one or more processors are to provide for compression of a data structure, including identification of a mode in the data structure, the data structure including a plurality of values and the mode being a most repeated value in a data structure, wherein identification of the mode includes application of a mode approximation operation, and encoding of an output vector to include the identified mode, a significance map to indicate locations at which the mode is present in the data structure, and remaining uncompressed data from the data structure.
    Type: Grant
    Filed: December 15, 2022
    Date of Patent: September 10, 2024
    Assignee: INTEL CORPORATION
    Inventors: Prasoonkumar Surti, Abhishek R. Appu, Karol Szerszen, Eric Liskay, Karthik Vaidyanathan
  • Patent number: 12079926
    Abstract: 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: Grant
    Filed: April 25, 2023
    Date of Patent: September 3, 2024
    Assignee: Intel Corporation
    Inventors: Prasoonkumar Surti, Abhishek R. Appu, Joydeep Ray
  • Publication number: 20240282042
    Abstract: Apparatus and method for stack throttling.
    Type: Application
    Filed: February 26, 2024
    Publication date: August 22, 2024
    Inventors: Karthik Vaidyanathan, Abhishek Appu, Vasanth Ranganathan, Joydeep Ray, Prasoonkumar Surti
  • Publication number: 20240282045
    Abstract: An apparatus and method for merging primitives and coordinating between vertex and ray transformations on a shared transformation unit. For example, one embodiment of a graphics processor comprises: a queue comprising a plurality of entries; ordering circuitry/logic to order triangles front to back within the queue; pairing circuitry/logic to identify triangles in the queue sharing an edge and to merge the triangles sharing an edge to produce merged triangle pairs; and shared transformation circuitry to alternate between performing vertex transformations on vertices of the merged triangle pairs and to performing ray transformations on ray direction/origin data.
    Type: Application
    Filed: February 27, 2024
    Publication date: August 22, 2024
    Inventors: Sven Woop, Prasoonkumar Surti, Karthik Vaidyanathan, Carsten Benthin, Joshua Barczak, Saikat Mandal
  • Patent number: 12066975
    Abstract: Embodiments are generally directed to cache structure and utilization. An embodiment of an apparatus includes one or more processors including a graphics processor; a memory for storage of data for processing by the one or more processors; and a cache to cache data from the memory; wherein the apparatus is to provide for dynamic overfetching of cache lines for the cache, including receiving a read request and accessing the cache for the requested data, and upon a miss in the cache, overfetching data from memory or a higher level cache in addition to fetching the requested data, wherein the overfetching of data is based at least in part on a current overfetch boundary, and provides for data is to be prefetched extending to the current overfetch boundary.
    Type: Grant
    Filed: March 14, 2020
    Date of Patent: August 20, 2024
    Assignee: INTEL CORPORATION
    Inventors: Altug Koker, Lakshminarayanan Striramassarma, Aravindh Anantaraman, Valentin Andrei, Abhishek R. Appu, Sean Coleman, Varghese George, K Pattabhiraman, Mike MacPherson, Subramaniam Maiyuran, ElMoustapha Ould-Ahmed-Vall, Vasanth Ranganathan, Joydeep Ray, S Jayakrishna P, Prasoonkumar Surti
  • Patent number: 12067641
    Abstract: One embodiment provides a parallel processor comprising a memory interface and a processing array coupled with the memory interface. The processing array is configured to address memory accessed via the memory interface via a virtual address mapping and includes circuitry to resolve a page fault for the virtual address mapping, wherein each of the multiple compute blocks is separately preemptable.
    Type: Grant
    Filed: May 20, 2022
    Date of Patent: August 20, 2024
    Assignee: Intel Corporation
    Inventors: Altug Koker, Ingo Wald, David Puffer, Subramaniam M. Maiyuran, Prasoonkumar Surti, Balaji Vembu, Guei-Yuan Lueh, Murali Ramadoss, Abhishek R. Appu, Joydeep Ray
  • Publication number: 20240265487
    Abstract: Apparatus and method for stable and short latency sorting.
    Type: Application
    Filed: February 6, 2024
    Publication date: August 8, 2024
    Inventors: Saikat MANDAL, Prasoonkumar SURTI, Sven WOOP
  • Patent number: 12056906
    Abstract: 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: Grant
    Filed: September 13, 2023
    Date of Patent: August 6, 2024
    Assignee: INTEL CORPORATION
    Inventors: 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
  • Publication number: 20240256456
    Abstract: Embodiments are generally directed to data prefetching for graphics data processing. An embodiment of an apparatus includes one or more processors including one or more graphics processing units (GPUs); and a plurality of caches to provide storage for the one or more GPUs, the plurality of caches including at least an L1 cache and an L3 cache, wherein the apparatus to provide intelligent prefetching of data by a prefetcher of a first GPU of the one or more GPUs including measuring a hit rate for the Li cache; upon determining that the hit rate for the L1 cache is equal to or greater than a threshold value, limiting a prefetch of data to storage in the L3 cache, and upon determining that the hit rate for the L1 cache is less than a threshold value, allowing the prefetch of data to the L1 cache.
    Type: Application
    Filed: December 20, 2023
    Publication date: August 1, 2024
    Applicant: Intel Corporation
    Inventors: Vikranth Vemulapalli, Lakshminarayanan Striramassarma, Mike MacPherson, Aravindh Anantaraman, Ben Ashbaugh, Murali Ramadoss, William B. Sadler, Jonathan Pearce, Scott Janus, Brent Insko, Vasanth Ranganathan, Kamal Sinha, Arthur Hunter, Jr., Prasoonkumar Surti, Nicolas Galoppo von Borries, Joydeep Ray, Abhishek R. Appu, ElMoustapha Ould-Ahmed-Vall, Altug Koker, Sungye Kim, Subramaniam Maiyuran, Valentin Andrei
  • Publication number: 20240256483
    Abstract: Embodiments are generally directed to graphics processor data access and sharing. An embodiment of an apparatus includes a circuit element to produce a result in processing of an application; a load-store unit to receive the result and generate pre-fetch information for a cache utilizing the result; and a prefetch generator to produce prefetch addresses based at least in part on the pre-fetch information; wherein the load-store unit is to receive software assistance for prefetching, and wherein generation of the pre-fetch information is based at least in part on the software assistance.
    Type: Application
    Filed: January 17, 2024
    Publication date: August 1, 2024
    Applicant: Intel Corporation
    Inventors: Altug Koker, Varghese George, Aravindh Anantaraman, Valentin Andrei, Abhishek R. Appu, Niranjan Cooray, Nicolas Galoppo Von Borries, Mike MacPherson, Subramaniam Maiyuran, ElMoustapha Ould-Ahmed-Vall, David Puffer, Vasanth Ranganathan, Joydeep Ray, Ankur N. Shah, Lakshminarayanan Striramassarma, Prasoonkumar Surti, Saurabh Tangri