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).

  • Patent number: 11520723
    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 monitor a thread switching overhead parameter for an application executing in a processing system and in response to a determination that the thread switching overhead parameter exceeds a threshold, to activate a thread management algorithm to reduce thread switching in the processing system. Other embodiments are also disclosed and claimed.
    Type: Grant
    Filed: July 2, 2021
    Date of Patent: December 6, 2022
    Assignee: INTEL CORPORATION
    Inventors: Abhishek R. Appu, Altug Koker, Joydeep Ray, Kiran C. Veernapu, Balaji Vembu, Vasanth Ranganathan, Prasoonkumar Surti
  • Patent number: 11520555
    Abstract: 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: Grant
    Filed: January 29, 2021
    Date of Patent: December 6, 2022
    Assignee: Intel Corporation
    Inventors: 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
  • Publication number: 20220383444
    Abstract: Generation and storage of compressed z-planes in graphics processing is described. An example of a processor includes a rasterizer to generate a fragment of pixel data including blocks of pixel data; a depth pipeline to receive the fragment, the pipeline including a first and second depth test hardware, the first depth test hardware to perform a coarse depth test including determining minimum and maximum depths for each block; and a depth buffer, wherein the processor is to determine whether the fragment meets requirements that the fragment fully covers a tile of pixel data and passes a first depth test, and that each of the minimum and maximum depths of the fragment has a same sign and exponent, and, upon determining that the fragment meets the requirements, to generate a compressed depth plane utilizing the first depth test and update the depth buffer with the compressed depth plane.
    Type: Application
    Filed: May 27, 2021
    Publication date: December 1, 2022
    Applicant: Intel Corporation
    Inventors: Saikat Mandal, Karol Szerszen, Vasanth Ranganathan, Altug Koker, Michael Norris, Prasoonkumar Surti, Takahiro Murata
  • Patent number: 11514639
    Abstract: Systems, apparatuses and methods may provide away to render augmented reality and virtual reality (VR/AR) environment information. More particularly, systems, apparatuses and methods may provide a way to selectively suppress and enhance VR/AR renderings of n-dimensional environments. The systems, apparatuses and methods may deepen a user's VR/AR experience by focusing on particular feedback information, while suppressing other feedback information from the environment.
    Type: Grant
    Filed: March 23, 2021
    Date of Patent: November 29, 2022
    Assignee: Intel Corporation
    Inventors: Chandrasekaran Sakthivel, Michael Apodaca, Kai Xiao, Altug Koker, Jeffery S. Boles, Adam T. Lake, Nikos Kaburlasos, Joydeep Ray, John H. Feit, Travis T. Schluessler, Jacek Kwiatkowski, James M. Holland, Prasoonkumar Surti, Jonathan Kennedy, Louis Feng, Barnan Das, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Mayuresh M. Varerkar
  • Patent number: 11508338
    Abstract: A mechanism is described for facilitating using of a shared local memory for register spilling/filling relating to graphics processors at computing devices. A method of embodiments, as described herein, includes reserving one or more spaces of a shared local memory (SLM) to perform one or more of spilling and filling relating to registers associated with a graphics processor of a computing device.
    Type: Grant
    Filed: October 5, 2020
    Date of Patent: November 22, 2022
    Assignee: Intel Corporation
    Inventors: Joydeep Ray, Altug Koker, Balaji Vembu, Murali Ramadoss, Guei-Yuan Lueh, James A. Valerio, Prasoonkumar Surti, Abhishek R. Appu, Vasanth Ranganathan, Kalyan K. Bhiravabhatla, Arthur D. Hunter, Jr., Wei-Yu Chen, Subramaniam M. Maiyuran
  • Patent number: 11507375
    Abstract: 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: Grant
    Filed: May 12, 2021
    Date of Patent: November 22, 2022
    Assignee: INTEL CORPORATION
    Inventors: 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
  • Publication number: 20220366630
    Abstract: Position-based rendering apparatus and method for multi-die/GPU graphics processing. For example, one embodiment of a method comprises: distributing a plurality of graphics draws to a plurality of graphics processors; performing position-only shading using vertex data associated with tiles of a first draw on a first graphics processor, the first graphics processor responsively generating visibility data for each of the tiles; distributing subsets of the visibility data associated with different subsets of the tiles to different graphics processors; limiting geometry work to be performed on each tile by each graphics processor using the visibility data, each graphics processor to responsively generate rendered tiles; and wherein the rendered tiles are combined to generate a complete image frame.
    Type: Application
    Filed: July 28, 2022
    Publication date: November 17, 2022
    Applicant: Intel Corporation
    Inventors: TRAVIS SCHLUESSLER, ZACK WATERS, MICHAEL APODACA, DANIEL JOHNSTON, JASON SURPRISE, PRASOONKUMAR SURTI, SUBRAMANIAM MAIYURAN, PETER DOYLE, SAURABH SHARMA, ANKUR SHAH, MURALI RAMADOSS
  • Publication number: 20220366527
    Abstract: A mechanism is described for facilitating inference coordination and processing utilization for machine learning. A method of embodiments, as described herein, includes limiting execution of workloads for the respective contexts of a plurality of contexts to a specified subset of a plurality of processing resources of a processing system according to physical resource slices of the processing system that are associated with the respective contexts of the plurality of contexts.
    Type: Application
    Filed: July 22, 2022
    Publication date: November 17, 2022
    Applicant: Intel Corporation
    Inventors: Abhishek R. Appu, Altug Koker, John C. Weast, Mike B. Macpherson, Linda L. Hurd, Sara S. Baghsorkhi, Justin E. Gottschlich, Prasoonkumar Surti, Chandrasekaran Sakthivel, Liwei Ma, Elmoustapha Ould-Ahmed-Vall, Kamal Sinha, Joydeep Ray, Balaji Vembu, Sanjeev Jahagirdar, Vasanth Ranganathan, DUKHWAN Kim
  • Publication number: 20220366634
    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: May 17, 2022
    Publication date: November 17, 2022
    Applicant: Intel Corporation
    Inventors: Sven Woop, Prasoonkumar Surti, Karthik Vaidyanathan, Carsten Benthin, Joshua Barczak, Saikat Mandal
  • Patent number: 11494187
    Abstract: In an example, an apparatus comprises a plurality of execution units, and logic, at least partially including hardware logic, to assemble a general register file (GRF) message and hold the GRF message in storage in a data port until all data for the GRF message is received. Other embodiments are also disclosed and claimed.
    Type: Grant
    Filed: October 19, 2020
    Date of Patent: November 8, 2022
    Assignee: INTEL CORPORATION
    Inventors: Abhishek R. Appu, Altug Koker, Joydeep Ray, Ramkumar Ravikumar, Kiran C. Veernapu, Prasoonkumar Surti, Vasanth Ranganathan
  • Patent number: 11494968
    Abstract: 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: Grant
    Filed: May 17, 2021
    Date of Patent: November 8, 2022
    Assignee: Intel Corporation
    Inventors: Abhishek R. Appu, Prasoonkumar Surti, Srivallaba Mysore, Subhajit Dasgupta, Hiroshi Akiba, Eric J. Hoekstra, Linda L. Hurd, Travis T. Schluessler, Daren J. Schmidt
  • Publication number: 20220351325
    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: Application
    Filed: May 20, 2022
    Publication date: November 3, 2022
    Applicant: 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
  • Patent number: 11488005
    Abstract: A mechanism is described for facilitating smart collection of data and smart management of autonomous machines. A method of embodiments, as described herein, includes detecting one or more sets of data from one or more sources over one or more networks, and combining a first computation directed to be performed locally at a local computing device with a second computation directed to be performed remotely at a remote computing device in communication with the local computing device over the one or more networks, where the first computation consumes low power, wherein the second computation consumes high power.
    Type: Grant
    Filed: July 22, 2019
    Date of Patent: November 1, 2022
    Assignee: Intel Corporation
    Inventors: Brian T. Lewis, Feng Chen, Jeffrey R. Jackson, Justin E. Gottschlich, Rajkishore Barik, Xiaoming Chen, Prasoonkumar Surti, Mike B. Macpherson, Murali Sundaresan
  • Publication number: 20220343554
    Abstract: Apparatus and method for context-aware compression. For example, one embodiment of an apparatus comprises: ray traversal/intersection circuitry to traverse rays through a hierarchical acceleration data structure to identify intersections between rays and primitives of a graphics scene; matrix compression circuitry/logic to compress hierarchical transformation matrices to generate compressed hierarchical transformation matrices by quantizing N-bit floating point data elements associated with child transforms of the hierarchical transformation matrices to variable-bit floating point numbers or integers comprising offsets from a parent transform of the child transform; and an instance processor to generate a plurality of instances of one or more base geometric objects in accordance with the compressed hierarchical transformation matrices.
    Type: Application
    Filed: May 10, 2022
    Publication date: October 27, 2022
    Inventors: Carson BROWNLEE, Carsten BENTHIN, Joshua BARCZAK, Kai XIAO, Michael APODACA, Prasoonkumar SURTI, Thomas RAOUX
  • Publication number: 20220335562
    Abstract: 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: Application
    Filed: May 11, 2022
    Publication date: October 20, 2022
    Applicant: Intel Corporation
    Inventors: 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
  • Publication number: 20220327772
    Abstract: One embodiment provides for a graphics processing unit comprising a processing cluster to perform coarse pixel shading and output shaded coarse pixels for processing by a pixel processing pipeline and a render cache to store coarse pixel data for input to or output from a pixel processing pipeline.
    Type: Application
    Filed: April 18, 2022
    Publication date: October 13, 2022
    Applicant: Intel Corporation
    Inventors: Prasoonkumar Surti, Abhishek R. Appu, Subhajit Dasgupta, Srivallaba Mysore, Michael J. Norris, Vasanth Ranganathan, Joydeep Ray
  • Publication number: 20220327763
    Abstract: Apparatus and method for a hierarchical beam tracer.
    Type: Application
    Filed: April 19, 2022
    Publication date: October 13, 2022
    Inventors: Scott JANUS, Prasoonkumar SURTI, Karthik VAIDYANATHAN, Alexey SUPIKOV, Gabor LIKTOR, Carsten BENTHIN, Philip LAWS, Michael DOYLE
  • Patent number: 11468621
    Abstract: One embodiment provides for a data processing system comprising a memory module to store a multisample render target, the multisample render target to store multiple sample locations for each pixel in a set of pixels and a general-purpose graphics processor including a hardware graphics rendering pipeline to generate pixel color data to be output to the multisample render target, a multisample antialiasing compressor to request allocation of one or more planes to store color data for a set of sample locations of a pixel in the set of pixels, and a memory allocator to allocate memory to store color data associated with the multisample render target. The memory allocator can merge a memory allocation for multiple pixels having a sample associated with a same color value.
    Type: Grant
    Filed: October 13, 2020
    Date of Patent: October 11, 2022
    Assignee: Intel Corporation
    Inventors: Abhishek R. Appu, Prasoonkumar Surti, Joydeep Ray, Michael J. Norris
  • Patent number: 11461959
    Abstract: The systems, apparatuses and methods may provide a way to adaptively process and aggressively cull geometry data. Systems, apparatuses and methods may provide for processing, by a positional only shading pipeline (POSH), geometry data including surface triangles for a digital representation of a scene. More particularly, systems, apparatuses and methods may provide a way to identify surface triangles in one or more exclusion zones and non-exclusion zones, and cull surface triangles in one or more exclusion zones.
    Type: Grant
    Filed: May 4, 2020
    Date of Patent: October 4, 2022
    Assignee: Intel Corporation
    Inventors: Prasoonkumar Surti, Karthik Vaidyanathan, Atsuo Kuwahara, Hugues Labbe, Sameer Kp, Jonathan Kennedy, Abhishek R. Appu, Jeffery S. Boles, Balaji Vembu, Michael Apodaca, Slawomir Grajewski, Gabor Liktor, David M. Cimini, Andrew T. Lauritzen, Travis T. Schluessler, Murali Ramadoss, Abhishek Venkatesh, Joydeep Ray, Kai Xiao, Ankur N. Shah, Altug Koker
  • Publication number: 20220301228
    Abstract: Variable width interleaved coding for graphics processing is described. An example of an apparatus includes one or more processors including a graphic processor; and memory for storage of data including data for graphics processing, wherein the graphics processor includes an encoder pipeline to provide variable width interleaved coding and a decoder pipeline to decode the variable width interleaved coding, and wherein the encoder pipeline is to receive a plurality of bitstreams from workgroups; perform parallel entropy encoding on the bitstreams to generate a plurality of encoded bitstreams for each of the workgroups; perform variable interleaving of the bitstreams for each workgroup based at least in part on data requirements for decoding received from the decoder pipeline; and compact outputs for each of the workgroups into a contiguous stream of interleaved data.
    Type: Application
    Filed: June 24, 2021
    Publication date: September 22, 2022
    Applicant: Intel Corporation
    Inventors: Stephen Junkins, Sreenivas Kothandaraman, Prasoonkumar Surti, Srihari Pratapa, William Hux, John Feit