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).

  • ADAPTIVE RESOLUTION OF POINT CLOUD AND VIEWPOINT PREDICTION FOR VIDEO STREAMING IN COMPUTING ENVIRONMENTS
    Publication number: 20220182592
    Abstract: 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: Application
    Filed: November 15, 2021
    Publication date: June 9, 2022
    Applicant: Intel Corporation
    Inventors: 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
  • Page faulting and selective preemption
    Patent number: 11354769
    Abstract: One embodiment provides for a parallel processor comprising a processing array within the parallel processor, the processing array including multiple compute blocks, each compute block including multiple processing clusters configured for parallel operation, wherein each of the multiple compute blocks is independently preemptable. In one embodiment a preemption hint can be generated for source code during compilation to enable a compute unit to determine an efficient point for preemption.
    Type: Grant
    Filed: July 9, 2020
    Date of Patent: June 7, 2022
    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
  • Motion biased foveated renderer
    Patent number: 11354848
    Abstract: Systems, apparatuses and methods may provide for technology that assigns a first shading rate to a first region of a frame. The technology further assigns a second shading rate to a second region of the frame. The first shading rate indicates that the first region will be rendered at a first resolution, and the second shading rate indicates that the second region will be rendered at a second resolution less than the first resolution. The first and second shading rates are associated with a selection based on a motion vector that corresponds to motion of an object. The object is rendered as part of a scene that includes the first region rendered at the first resolution and the second region rendered at the second resolution.
    Type: Grant
    Filed: October 24, 2019
    Date of Patent: June 7, 2022
    Assignee: Intel Corporation
    Inventors: Prasoonkumar Surti, Karthik Vaidyanathan, Atsuo Kuwahara, Hugues Labbe, Sameer Kp, Jonathan Kennedy, Joydeep Ray, Travis T. Schluessler, John H. Feit, Nikos Kaburlasos, Jacek Kwiatkowski, Tomer Bar-On, Carsten Benthin, Adam T. Lake, Vasanth Ranganathan, Abhishek R. Appu
  • De-centralized load-balancing at processors
    Patent number: 11354171
    Abstract: A mechanism is described for facilitating localized load-balancing for processors in computing devices. A method of embodiments, as described herein, includes facilitating hosting, at a processor of a computing device, a local load-balancing mechanism. The method may further include monitoring balancing of loads at the processor and serving as a local scheduler to maintain de-centralized load-balancing at the processor and between the processor and other one or more processors.
    Type: Grant
    Filed: December 22, 2020
    Date of Patent: June 7, 2022
    Assignee: Intel Corporation
    Inventors: Prasoonkumar Surti, David Cowperthwaite, Abhishek R. Appu, Joydeep Ray, Vasanth Ranganathan, Altug Koker, Balaji Vembu
  • MUTLI-FRAME RENDERER
    Publication number: 20220172316
    Abstract: An embodiment of a graphics command coordinator apparatus may include a commonality identifier to identify a commonality between a first graphics command corresponding to a first frame and a second graphics command corresponding to a second frame, a commonality analyzer communicatively coupled to the commonality identifier to determine if the first graphics command and the second graphics command can be processed together based on the commonality identified by the commonality identifier, and a commonality indicator communicatively coupled to the commonality analyzer to provide an indication that the first graphics command and the second graphics command are to be processed together. Other embodiments are disclosed and claimed.
    Type: Application
    Filed: September 27, 2021
    Publication date: June 2, 2022
    Inventors: Abhishek Venkatesh, Karthik Vaidyanathan, Murali Ramadoss, Michael Apodaca, Prasoonkumar Surti
  • CACHE STRUCTURE AND UTILIZATION
    Publication number: 20220171710
    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: Application
    Filed: February 17, 2022
    Publication date: June 2, 2022
    Applicant: Intel Corporation
    Inventors: Altug Koker, Lakshminarayanan Striramassarma, Aravindh Anantaraman, Valentin Andrei, Abhishek R. Appu, Sean Coleman, Varghese George, Pattabhiraman K, Mike MacPherson, Subramaniam Maiyuran, ElMoustapha Ould-Ahmed-Vall, Vasanth Ranganathan, Joydeep Ray, Jayakrishna P S, Prasoonkumar Surti
  • Compute optimization mechanism for deep neural networks
    Patent number: 11348198
    Abstract: 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: Grant
    Filed: January 11, 2021
    Date of Patent: May 31, 2022
    Assignee: 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
  • ADAPTIVE MULTISAMPLING BASED ON VERTEX ATTRIBUTES
    Publication number: 20220165022
    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: Application
    Filed: September 3, 2021
    Publication date: May 26, 2022
    Applicant: Intel Corporation
    Inventors: Prasoonkumar Surti, Abhishek R. Appu, Joydeep Ray
  • Apparatus and method using triangle pairs and shared transformation circuitry to improve ray tracing performance
    Patent number: 11341709
    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: Grant
    Filed: September 27, 2019
    Date of Patent: May 24, 2022
    Assignee: Intel Corporation
    Inventors: Sven Woop, Prasoonkumar Surti, Karthik Vaidyanathan, Carsten Benthin, Joshua Barczak, Saikat Mandal
  • COMPUTE OPTIMIZATION MECHANISM FOR DEEP NEURAL NETWORKS
    Publication number: 20220156876
    Abstract: 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: Application
    Filed: November 18, 2021
    Publication date: May 19, 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
  • Compute optimization mechanism for deep neural networks
    Patent number: 11334962
    Abstract: 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: Grant
    Filed: July 26, 2021
    Date of Patent: May 17, 2022
    Assignee: 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
  • Context-aware compression with quantization of hierarchical transform matrices
    Patent number: 11335035
    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: Grant
    Filed: August 26, 2020
    Date of Patent: May 17, 2022
    Assignee: INTEL CORPORATION
    Inventors: Carson Brownlee, Carsten Benthin, Joshua Barczak, Kai Xiao, Michael Apodaca, Prasoonkumar Surti, Thomas Raoux
  • Method and apparatus for approximation using polynomials
    Patent number: 11327754
    Abstract: Methods and apparatus for approximation using polynomial functions are disclosed. In one embodiment, a processor comprises decoding and execution circuitry. The decoding circuitry is to decode an instruction, where the instruction comprises a first operand specifying an output location and a second operand specifying a plurality of data element values to be computed. The execution circuitry is to execute the decoded instruction. The execution includes to compute a result for each of the plurality of data element values using a polynomial function to approximate a complex function, where the computation uses coefficients stored in a lookup location for the complex function, and where data element values within different data element value ranges use different sets of coefficients. The execution further includes to store results of the computation in the output location.
    Type: Grant
    Filed: March 27, 2019
    Date of Patent: May 10, 2022
    Assignee: INTEL CORPORATION
    Inventors: Jorge Parra, Dan Baum, Robert S. Chappell, Michael Espig, Varghese George, Alexander Heinecke, Christopher Hughes, Subramaniam Maiyuran, Prasoonkumar Surti, Ronen Zohar, Elmoustapha Ould-Ahmed-Vall
  • CACHE STRUCTURE AND UTILIZATION
    Publication number: 20220138104
    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: Application
    Filed: March 14, 2020
    Publication date: May 5, 2022
    Applicant: Intel Corporation
    Inventors: Altug Koker, Lakshminarayanan Striramassarma, Aravindh Anantaraman, Valentin Andrei, Abhishek R. Appu, Sean Coleman, Varghese Georgr, K. Pattabhiraman, Mike MacPherson, Subramaniam Maiyuran, ElMoustapha Ould-Ahmed-Vall, Vasanth Ranganathan, Joydeep Ray, S. Jayakrishna P, Prasoonkumar Surti
  • GRAPHICS PROCESSOR DATA ACCESS AND SHARING
    Publication number: 20220137967
    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: March 14, 2020
    Publication date: May 5, 2022
    Applicant: Intel Corporation
    Inventors: Altug Koker, Varghese George, Aravindh Anantaraman, Valentin Andrel, 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
  • COMPUTE OPTIMIZATION IN GRAPHICS PROCESSING
    Publication number: 20220138895
    Abstract: Embodiments are generally directed to compute optimization in graphics processing. An embodiment of an apparatus includes one or more processors including a multi-tile graphics processing unit (GPU) to process data, the multi-tile GPU including multiple processor tiles; and a memory for storage of data for processing, wherein the apparatus is to receive compute work for processing by the GPU, partition the compute work into multiple work units, assign each of multiple work units to one of the processor tiles, and process the compute work using the processor tiles assigned to the work units.
    Type: Application
    Filed: March 14, 2020
    Publication date: May 5, 2022
    Applicant: Intel Corporation
    Inventors: Vasanth Raganathan, Abhishek R. Appu, Ben Ashbaugh, Peter Doyle, Brandon Fliflet, Arthur Hunter, Brent Insko, Scott Janus, Altug Koker, Aditya Navale, Joydeep Ray, Kamal Sinha, Lakshminarayanan Striramassarma, Prasoonkumar Surti, James Valerio
  • DEDICATED HARDWARE UNIT TO OFFLOAD BLENDING OF VALUES FROM MEMORY
    Publication number: 20220138894
    Abstract: 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: Application
    Filed: November 8, 2021
    Publication date: May 5, 2022
    Applicant: Intel Corporation
    Inventors: Prasoonkumar SURTI, Larry SEILER, Adam Z. LEIBEL
  • VIRTUAL REALITY APPARATUS AND METHOD INCLUDING PRIORITIZED PIXEL SHADER OPERATIONS, ALTERNATE EYE RENDERING, AND/OR AUGMENTED TIMEWARP
    Publication number: 20220130106
    Abstract: An apparatus and method are described for performing an early depth test on graphics data. For example, one embodiment of a graphics processing apparatus comprises: early depth test circuitry to perform an early depth test on blocks of pixels to determine whether all pixels in the block of pixels can be resolved by the early depth test; a plurality of execution circuits to execute pixel shading operations on the blocks of pixels; and a scheduler circuit to schedule the blocks of pixels for the pixel shading operations, the scheduler circuit to prioritize the blocks of pixels in accordance with the determination as to whether all pixels in the block of pixels can be resolved by the early depth test.
    Type: Application
    Filed: November 2, 2021
    Publication date: April 28, 2022
    Inventors: Brent E. INSKO, Prasoonkumar SURTI
  • APPARATUS AND METHOD FOR ASYNCHRONOUS RAY TRACING
    Publication number: 20220130097
    Abstract: Apparatus and method for asynchronous ray tracing.
    Type: Application
    Filed: August 3, 2021
    Publication date: April 28, 2022
    Applicant: Intel Corporation
    Inventors: Prasoonkumar Surti, Abhishek R. Appu, Karthik Vaidyanathan, Saikat Mandal, Michael Norris
  • SYSTOLIC DISAGGREGATION WITHIN A MATRIX ACCELERATOR ARCHITECTURE
    Publication number: 20220129521
    Abstract: Embodiments described herein include software, firmware, and hardware logic that provides techniques to perform arithmetic on sparse data via a systolic processing unit. One embodiment provides techniques to optimize training and inference on a systolic array when using sparse data. One embodiment provides techniques to use decompression information when performing sparse compute operations. One embodiment enables the disaggregation of special function compute arrays via a shared reg file. One embodiment enables packed data compress and expand operations on a GPGPU. One embodiment provides techniques to exploit block sparsity within the cache hierarchy of a GPGPU.
    Type: Application
    Filed: March 14, 2020
    Publication date: April 28, 2022
    Applicant: INTEL CORPORATION
    Inventors: Prasoonkumar Surti, Subramaniam Maiyuran, Valentin Andrei, Abhishek Appu, Varghese George, Altug Koker, Mike Macpherson, Elmoustapha Ould-Ahmed-Vall, Vasanth Ranganathan, Joydeep Ray, Lakshminarayanan Striramassarma, SungYe Kim