Patents by Inventor Joydeep Ray

Joydeep Ray 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).

  • PREDICTIVE VIEWPORT RENDERER AND FOVEATED COLOR COMPRESSOR
    Publication number: 20210350597
    Abstract: An embodiment of a graphics apparatus may include a focus identifier to identify a focus area, and a color compressor to selectively compress color data based on the identified focus area. Another embodiment of a graphics apparatus may include a motion detector to detect motion of a real object, a motion predictor to predict a motion of the real object, and an object placer to place a virtual object relative to the real object based on the predicted motion of the real object. Another embodiment of a graphics apparatus may include a frame divider to divide a frame into viewports, a viewport prioritizer to prioritize the viewports, a renderer to render a viewport of the frame in order in accordance with the viewport priorities, and a viewport transmitter to transmit a completed rendered viewport. Other embodiments are disclosed and claimed.
    Type: Application
    Filed: March 8, 2021
    Publication date: November 11, 2021
    Applicant: Intel Corporation
    Inventors: Deepak S. Vembar, Atsuo Kuwahara, Chandrasekaran Sakthivel, Radhakrishnan Venkataraman, Brent E. Insko, Anupreet S. Kalra, Hugues Labbe, Abhishek R. Appu, Ankur N. Shah, Joydeep Ray, ElMoustapha Ould-Ahmed-Vall, James M. Holland
  • VIEWING ANGLES INFLUENCED BY HEAD AND BODY MOVEMENTS
    Publication number: 20210349527
    Abstract: Systems, apparatuses and methods may provide for technology to improve user experience when viewing simulated 3D objects on a display. Head and upper-body movements may be tracked and recognized as gestures to alter the displayed viewing angle. The technology provides for a very natural way to look around, under, or over objects.
    Type: Application
    Filed: January 28, 2021
    Publication date: November 11, 2021
    Inventors: Robert J. Johnston, Satyanarayana Avadhanam, Changliang Wang, Narayan Biswal, Archie Sharma, Richmond Hicks, Joydeep Ray, Abhishek R. Appu, Stanley J. Baran, Sang-Hee Lee, Atthar H. Mohammed, Jong Dae Oh, Hiu-Fai Chan, Sumit Mohan, Jill M. Boyce, Yi-Jen Chiu
  • SCALAR CORE INTEGRATION
    Publication number: 20210349848
    Abstract: Methods and apparatus relating to scalar core integration in a graphics processor. In an example, an apparatus comprises a processor to receive a set of workload instructions for a graphics workload from a host complex, determine a first subset of operations in the set of operations that is suitable for execution by a scalar processor complex of the graphics processing device and a second subset of operations in the set of operations that is suitable for execution by a vector processor complex of the graphics processing device, assign the first subset of operations to the scalar processor complex for execution to generate a first set of outputs, assign the second subset of operations to the vector processor complex for execution to generate a second set of outputs. Other embodiments are also disclosed and claimed.
    Type: Application
    Filed: May 17, 2021
    Publication date: November 11, 2021
    Applicant: Intel Corporation
    Inventors: JOYDEEP RAY, ARAVINDH ANANTARAMAN, ABHISHEK R. APPU, ALTUG KOKER, ELMOUSTAPHA OULD-AHMED-VALL, VALENTIN ANDREI, SUBRAMANIAM MAIYURAN, NICOLAS GALOPPO VON BORRIES, VARGHESE GEORGE, MIKE MACPHERSON, BEN ASHBAUGH, MURALI RAMADOSS, VIKRANTH VEMULAPALLI, WILLIAM SADLER, JONATHAN PEARCE, SUNGYE KIM
  • COMPUTE OPTIMIZATION MECHANISM FOR DEEP NEURAL NETWORKS
    Publication number: 20210350499
    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: Application
    Filed: July 26, 2021
    Publication date: November 11, 2021
    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
  • Hybrid low power homogenous grapics processing units
    Patent number: 11169850
    Abstract: 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: Grant
    Filed: December 24, 2019
    Date of Patent: November 9, 2021
    Assignee: INTEL CORPORATION
    Inventors: 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
  • Instructions and logic to perform floating-point and integer operations for machine learning
    Patent number: 11169799
    Abstract: One embodiment provides for a graphics processing unit to accelerate machine-learning operations, the graphics processing unit comprising a multiprocessor having a single instruction, multiple thread (SIMT) architecture, the multiprocessor to execute at least one single instruction; and a first compute unit included within the multiprocessor, the at least one single instruction to cause the first compute unit to perform a two-dimensional matrix multiply and accumulate operation, wherein to perform the two-dimensional matrix multiply and accumulate operation includes to compute a 32-bit intermediate product of 16-bit operands and to compute a 32-bit sum based on the 32-bit intermediate product.
    Type: Grant
    Filed: June 5, 2019
    Date of Patent: November 9, 2021
    Assignee: Intel Corporation
    Inventors: Himanshu Kaul, Mark A. Anders, Sanu K. Mathew, Anbang Yao, Joydeep Ray, Ping T. Tang, Michael S. Strickland, Xiaoming Chen, Tatiana Shpeisman, Abhishek R. Appu, Altug Koker, Kamal Sinha, Balaji Vembu, Nicolas C. Galoppo Von Borries, Eriko Nurvitadhi, Rajkishore Barik, Tsung-Han Lin, Vasanth Ranganathan, Sanjeev Jahagirdar
  • Low power foveated rendering to save power on GPU and/or display
    Patent number: 11164352
    Abstract: 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: Grant
    Filed: April 21, 2017
    Date of Patent: November 2, 2021
    Assignee: INTEL CORPORATION
    Inventors: Prasoonkumar Surti, Wenyin Fu, Nikos Kaburlasos, Jacek Kwiatkowski, Travis T. Schluessler, John H. Feit, Joydeep Ray
  • Shared local memory tiling mechanism
    Patent number: 11163580
    Abstract: An apparatus to facilitate memory tiling is disclosed. The apparatus includes a memory, one or more execution units (EUs) to execute a plurality of processing threads via access to the memory and tiling logic to apply a tiling pattern to memory addresses for data stored in the memory.
    Type: Grant
    Filed: July 23, 2020
    Date of Patent: November 2, 2021
    Assignee: INTEL CORPORATION
    Inventors: Prasoonkumar Surti, Abhishek R. Appu, Joydeep Ray, Subramaniam M. Maiyuran, Altug Koker
  • DYNAMIC PRECISION FOR NEURAL NETWORK COMPUTE OPERATIONS
    Publication number: 20210334637
    Abstract: In an example, an apparatus comprises a compute engine comprising a high precision component and a low precision component; and logic, at least partially including hardware logic, to receive instructions in the compute engine; select at least one of the high precision component or the low precision component to execute the instructions; and apply a gate to at least one of the high precision component or the low precision component to execute the instructions. Other embodiments are also disclosed and claimed.
    Type: Application
    Filed: May 11, 2021
    Publication date: October 28, 2021
    Applicant: INTEL CORPORATION
    Inventors: Kamal Sinha, Balaji Vembu, Eriko Nurvitadhi, Nicolas C. Galoppo Von Borries, Rajkishore Barik, Tsung-Han Lin, Joydeep Ray, Ping T. Tang, Michael S. Strickland, Xiaoming Chen, Anbang Yao, Tatiana Shpeisman, Abhishek R. Appu, Altug Koker, Farshad Akhbari, Narayan Srinivasa, Feng Chen, Dukhwan Kim, Nadathur Rajagopalan Satish, John C. Weast, Mike B. MacPherson, Linda L. Hurd, Vasanth Ranganathan, Sanjeev S. Jahagirdar
  • Instruction prefetch based on thread dispatch commands
    Patent number: 11157283
    Abstract: A graphics processing device comprises a set of compute units to execute multiple threads of a workload, a cache coupled with the set of compute units, and a prefetcher to prefetch instructions associated with the workload. The prefetcher is configured to use a thread dispatch command that is used to dispatch threads to execute a kernel to prefetch instructions, parameters, and/or constants that will be used during execution of the kernel. Prefetch operations for the kernel can then occur concurrently with thread dispatch operations.
    Type: Grant
    Filed: January 9, 2019
    Date of Patent: October 26, 2021
    Assignee: Intel Corporation
    Inventors: James Valerio, Vasanth Ranganathan, Joydeep Ray, Pradeep Ramani
  • GRAPHICS SYSTEMS AND METHODS FOR ACCELERATING SYNCHRONIZATION USING FINE GRAIN DEPENDENCY CHECK AND SCHEDULING OPTIMIZATIONS BASED ON AVAILABLE SHARED MEMORY SPACE
    Publication number: 20210326176
    Abstract: Accelerated synchronization operations using fine grain dependency check are disclosed. A graphics multiprocessor includes a plurality of execution units and synchronization circuitry that is configured to determine availability of at least one execution unit. The synchronization circuitry to perform a fine grain dependency check of availability of dependent data or operands in shared local memory or cache when at least one execution unit is available.
    Type: Application
    Filed: May 11, 2021
    Publication date: October 21, 2021
    Applicant: Intel Corporation
    Inventors: Subramaniam Maiyuran, Varghese George, Altug Koker, Aravindh Anantaraman, SungYe Kim, Valentin Andrei, Joydeep Ray
  • Cloud based distributed single game calculation of shared computational work for multiple cloud gaming client devices
    Patent number: 11145106
    Abstract: Systems, apparatuses, and methods may provide for technology to process graphics data in a virtual gaming environment. The technology may identify, from graphics data in a graphics application, redundant graphics calculations relating to common frame characteristics of one or more graphical scenes to be shared between client game devices of a plurality of users and calculate, in response to the identified redundant graphics calculations, frame characteristics relating to the one or more graphical scenes. Additionally, the technology may send, over a computer network, the calculation of the frame characteristics to the client game devices.
    Type: Grant
    Filed: April 11, 2019
    Date of Patent: October 12, 2021
    Assignee: Intel Corporation
    Inventors: Jonathan Kennedy, Gabor Liktor, Jeffery S. Boles, Slawomir Grajewski, Balaji Vembu, Travis T. Schluessler, Abhishek R. Appu, Ankur N. Shah, Joydeep Ray, Altug Koker, Jacek Kwiatkowski
  • SCATTER GATHER ENGINE
    Publication number: 20210312692
    Abstract: In an example, an apparatus comprises a plurality of execution units, and logic, at least partially including hardware logic, to create a scatter gather list in memory and collect a plurality of operating statistics for the plurality of execution units using the scatter gather list. Other embodiments are also disclosed and claimed.
    Type: Application
    Filed: February 11, 2021
    Publication date: October 7, 2021
    Applicant: Intel Corporation
    Inventors: Balaji Vembu, Murali Ramadoss, David I. Standring, Shruti A. Sethi, Jeffrey S. Frizzell, Alan M. Curtis, Abhishek R. Appu, Joydeep Ray, Altug Koker
  • CONTEXTUAL CONFIGURATION ADJUSTER FOR GRAPHICS
    Publication number: 20210312586
    Abstract: An embodiment of a graphics apparatus may include a context engine to determine contextual information, a recommendation engine communicatively coupled to the context engine to determine a recommendation based on the contextual information, and a configuration engine communicatively coupled to the recommendation engine to adjust a configuration of a graphics operation based on the recommendation. Other embodiments are disclosed and claimed.
    Type: Application
    Filed: February 19, 2021
    Publication date: October 7, 2021
    Inventors: Joydeep Ray, Ankur N. Shah, Abhishek R. Appu, Deepak S. Vembar, ElMoustapha Ould-Ahmed-Vall, Atsuo Kuwahara, Travis T. Schluessler, Linda L. Hurd, Josh B. Mastronarde, Vasanth Ranganathan
  • Compute optimizations for low precision machine learning operations
    Patent number: 11138686
    Abstract: Embodiments described herein provide a graphics processor that can perform a variety of mixed and multiple precision instructions and operations. One embodiment provides a streaming multiprocessor that can concurrently execute multiple thread groups, wherein the streaming multiprocessor includes a single instruction, multiple thread (SIMT) architecture and the streaming multiprocessor is to execute multiple threads for each of multiple instructions. The streaming multiprocessor can perform concurrent integer and floating-point operations and includes a mixed precision core to perform operations at multiple precisions.
    Type: Grant
    Filed: June 19, 2019
    Date of Patent: October 5, 2021
    Assignee: Intel Corporation
    Inventors: Elmoustapha Ould-Ahmed-Vall, Sara S. Baghsorkhi, Anbang Yao, Kevin Nealis, Xiaoming Chen, Altug Koker, Abhishek R. Appu, John C. Weast, Mike B. Macpherson, Dukhwan Kim, Linda L. Hurd, Ben J. Ashbaugh, Barath Lakshmanan, Liwei Ma, Joydeep Ray, Ping T. Tang, Michael S. Strickland
  • EFFICIENT DATA SHARING FOR GRAPHICS DATA PROCESSING OPERATIONS
    Publication number: 20210303481
    Abstract: An apparatus to facilitate efficient data sharing for graphics data processing operations is disclosed. The apparatus includes a processing resource to generate a stream of instructions, an L1 cache communicably coupled to the processing resource and comprising an on-page detector circuit to determine that a set of memory requests in the stream of instructions access a same memory page; and set a marker in a first request of the set of memory requests; and arbitration circuitry communicably coupled to the L1 cache, the arbitration circuitry to route the set of memory requests to memory comprising the memory page and to, in response to receiving the first request with the marker set, remain with the processing resource to process the set of memory requests.
    Type: Application
    Filed: March 25, 2021
    Publication date: September 30, 2021
    Applicant: Intel Corporation
    Inventors: Joydeep Ray, Altug Koker, Elmoustapha Ould-Ahmed-Vall, Michael Macpherson, Aravindh V. Anantaraman, Vasanth Ranganathan, Lakshminarayanan Striramassarma, Varghese George, Abhishek Appu, Prasoonkumar Surti
  • MULTI-SAMPLE STEREO RENDERER
    Publication number: 20210304485
    Abstract: An embodiment of a parallel processor apparatus may include a sample pattern selector to select a sample pattern for a pixel, and a sample pattern subset selector communicatively coupled to the sample pattern selector to select a first subset of the sample pattern for the pixel corresponding to a left eye display frame and to select a second subset of the sample pattern for the pixel corresponding to a right eye display frame, wherein the second subset is different from the first subset. Other embodiments are disclosed and claimed.
    Type: Application
    Filed: February 19, 2021
    Publication date: September 30, 2021
    Inventors: Nikos Kaburlasos, Joydeep Ray, John H. Feit, Travis T. Schluessler, Jacek Kwiatkowski, Philip R. Laws
  • COLLABORATIVE MULTI-USER VIRTUAL REALITY
    Publication number: 20210294560
    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: Application
    Filed: January 29, 2021
    Publication date: September 23, 2021
    Applicant: 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
  • AUGMENTED REALITY VIRTUAL REALITY RAY TRACING SENSORY ENHANCEMENT SYSTEM, APPARATUS AND METHOD
    Publication number: 20210297801
    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: Application
    Filed: December 28, 2020
    Publication date: September 23, 2021
    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
  • APPARATUS AND METHOD FOR THROTTLING A RAY TRACING PIPELINE
    Publication number: 20210295583
    Abstract: Apparatus and method for stack throttling.
    Type: Application
    Filed: March 16, 2020
    Publication date: September 23, 2021
    Inventors: Karthik Vaidyanathan, Abhishek Appu, Vasanth Ranganathan, Joydeep Ray, Prasoonkumar Surti