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).

  • Patent number: 11871142
    Abstract: Systems, apparatuses and methods may provide for technology that determines a frame rate of video content, sets a blend amount parameter based on the frame rate, and temporally anti-aliases the video content based on the blend amount parameter. Additionally, the technology may detect a coarse pixel (CP) shading condition with respect to one or more frames in the video content and select, in response to the CP shading condition, a per frame jitter pattern that jitters across pixels, wherein the video content is temporally anti-aliased based on the per frame jitter pattern. The CP shading condition may also cause the technology to apply a gradient to a plurality of color planes on a per color plane basis and discard pixel level samples associated with a CP if all mip data corresponding to the CP is transparent or shadowed out.
    Type: Grant
    Filed: December 14, 2021
    Date of Patent: January 9, 2024
    Assignee: Intel Corporation
    Inventors: Travis T. Schluessler, Joydeep Ray, John H. Feit, Nikos Kaburlasos, Jacek Kwiatkowski, Karthik Vaidyanathan, Prasoonkumar Surti, Michael Apodaca, Murali Ramadoss, Abhishek Venkatesh
  • Patent number: 11868264
    Abstract: One embodiment provides circuitry coupled with cache memory and a memory interface, the circuitry to compress compute data at multiple cache line granularity, and a processing resource coupled with the memory interface and the cache memory. The processing resource is configured to perform a general-purpose compute operation on compute data associated with multiple cache lines of the cache memory. The circuitry is configured to compress the compute data before a write of the compute data via the memory interface to the memory bus, in association with a read of the compute data associated with the multiple cache lines via the memory interface, decompress the compute data, and provide the decompressed compute data to the processing resource.
    Type: Grant
    Filed: February 13, 2023
    Date of Patent: January 9, 2024
    Assignee: Intel Corporation
    Inventors: Abhishek R. Appu, Altug Koker, Joydeep Ray, David Puffer, Prasoonkumar Surti, Lakshminarayanan Striramassarma, Vasanth Ranganathan, Kiran C. Veernapu, Balaji Vembu, Pattabhiraman K
  • Publication number: 20240004829
    Abstract: An integrated circuit (IC) package apparatus is disclosed. The IC package includes one or more processing units and a bridge, mounted below the one or more processing unit, including one or more arithmetic logic units (ALUs) to perform atomic operations.
    Type: Application
    Filed: July 12, 2023
    Publication date: January 4, 2024
    Applicant: Intel Corporation
    Inventors: Altug Koker, Farshad Akhbari, Feng Chen, Dukhwan Kim, Narayan Srinivasa, Nadathur Rajagopalan Satish, Liwei Ma, Jeremy Bottleson, Eriko Nurvitadhi, Joydeep Ray, Ping T. Tang, Michael S. Strickland, Xiaoming Chen, Tatiana Shpeisman, Abhishek R. Appu
  • Publication number: 20240005136
    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: July 12, 2023
    Publication date: January 4, 2024
    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 Jahagirdar
  • Publication number: 20240004713
    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: Application
    Filed: August 1, 2023
    Publication date: January 4, 2024
    Applicant: 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
  • Publication number: 20240004833
    Abstract: 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: Application
    Filed: July 10, 2023
    Publication date: January 4, 2024
    Applicant: Intel Corporation
    Inventors: 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
  • Patent number: 11861761
    Abstract: Embodiments described herein are generally directed to improvements relating to power, latency, bandwidth and/or performance issues relating to GPU processing/caching. According to one embodiment, a system includes a producer intellectual property (IP) (e.g., a media IP), a compute core (e.g., a GPU or an AI-specific core of the GPU), a streaming buffer logically interposed between the producer IP and the compute core. The producer IP is operable to consume data from memory and output results to the streaming buffer. The compute core is operable to perform AI inference processing based on data consumed from the streaming buffer and output AI inference processing results to the memory.
    Type: Grant
    Filed: November 11, 2020
    Date of Patent: January 2, 2024
    Assignee: Intel Corporation
    Inventors: Subramaniam Maiyuran, Durgaprasad Bilagi, Joydeep Ray, Scott Janus, Sanjeev Jahagirdar, Brent Insko, Lidong Xu, Abhishek R. Appu, James Holland, Vasanth Ranganathan, Nikos Kaburlasos, Altug Koker, Xinmin Tian, Guei-Yuan Lueh, Changliang Wang
  • Patent number: 11861759
    Abstract: Embodiments are generally directed to memory prefetching in multiple GPU environment. An embodiment of an apparatus includes multiple processors including a host processor and multiple graphics processing units (GPUs) to process data, each of the GPUs including a prefetcher and a cache; and a memory for storage of data, the memory including a plurality of memory elements, wherein the prefetcher of each of the GPUs is to prefetch data from the memory to the cache of the GPU; and wherein the prefetcher of a GPU is prohibited from prefetching from a page that is not owned by the GPU or by the host processor.
    Type: Grant
    Filed: January 20, 2022
    Date of Patent: January 2, 2024
    Assignee: INTEL CORPORATION
    Inventors: Joydeep Ray, Aravindh Anantaraman, Valentin Andrei, Abhishek R. Appu, Nicolas Galoppo von Borries, Varghese George, Altug Koker, Elmoustapha Ould-Ahmed-Vall, Mike Macpherson, Subramaniam Maiyuran
  • Publication number: 20230418355
    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: Application
    Filed: June 22, 2023
    Publication date: December 28, 2023
    Applicant: 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
  • Patent number: 11847719
    Abstract: An apparatus and method are described for managing data which is biased towards a processor or a GPU. For example, an apparatus comprises a processor comprising one or more cores, one or more cache levels, and cache coherence controllers to maintain coherent data in the one or more cache levels; a graphics processing unit (GPU) to execute graphics instructions and process graphics data, wherein the GPU and processor cores are to share a virtual address space for accessing a system memory; a GPU memory addressable through the virtual address space shared by the processor cores and GPU; and bias management circuitry to store an indication for whether the data has a processor bias or a GPU bias, wherein if the data has a GPU bias, the data is to be accessed by the GPU without necessarily accessing the processor's cache coherence controllers.
    Type: Grant
    Filed: March 15, 2022
    Date of Patent: December 19, 2023
    Assignee: Intel Corporation
    Inventors: Joydeep Ray, Abhishek R. Appu, Altug Koker, Balaji Vembu
  • Publication number: 20230401064
    Abstract: A graphics processing device is provided that includes a set of compute units to execute a workload, a cache coupled with the set of compute units, and circuitry coupled with the cache and the set of compute units. The circuitry is configured to, in response to a cache miss for the read from a first cache, broadcast an event within the graphics processor device to identify data associated with the cache miss, receive the event at a second compute unit in the set of compute units, and prefetch the data identified by the event into a second cache that is local to the second compute unit before an attempt to read the instruction or data by the second thread.
    Type: Application
    Filed: July 6, 2023
    Publication date: December 14, 2023
    Applicant: Intel Corporation
    Inventors: JAMES VALERIO, VASANTH RANGANATHAN, JOYDEEP RAY, PRADEEP RAMANI
  • Publication number: 20230401668
    Abstract: One embodiment provides a general-purpose graphics processing unit comprising a dynamic precision floating-point unit including a control unit having precision tracking hardware logic to track an available number of bits of precision for computed data relative to a target precision, wherein the dynamic precision floating-point unit includes computational logic to output data at multiple precisions.
    Type: Application
    Filed: August 25, 2023
    Publication date: December 14, 2023
    Applicant: 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
  • Patent number: 11842423
    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 for data aware sparsity via compressed bitstreams. One embodiment provides for block sparse dot product instructions. One embodiment provides for a depth-wise adapter for a systolic array.
    Type: Grant
    Filed: December 15, 2020
    Date of Patent: December 12, 2023
    Assignee: Intel Corporation
    Inventors: Abhishek Appu, Subramaniam Maiyuran, Mike Macpherson, Fangwen Fu, Jiasheng Chen, Varghese George, Vasanth Ranganathan, Ashutosh Garg, Joydeep Ray
  • Publication number: 20230393642
    Abstract: Described herein are various embodiments of reducing dynamic power consumption within a processor device. One embodiment provides a technique for dynamic link width adjustment based on throughput demand for client of an interconnect fabric. One embodiment provides for a parallel processor comprising an interconnect fabric including a dynamically configurable bus widths and frequencies.
    Type: Application
    Filed: June 1, 2023
    Publication date: December 7, 2023
    Applicant: Intel Corporation
    Inventors: Mohammed Tameem, Altug Koker, Kiran C. Veernapu, Abhishek R. Appu, Ankur N. Shah, Joydeep Ray, Travis T. Schluessler, Jonathan Kennedy
  • Publication number: 20230386417
    Abstract: Often when there is a glare on a display screen the user may be able to mitigate the glare by tilting or otherwise moving the screen or changing their viewing position. However, when driving a car there are limited options for overcoming glares on the dashboard, especially when you are driving for a long distance in the same direction. Embodiments are directed to eliminating such glare. Other embodiments are related to mixed reality (MR) and filling in occluded areas.
    Type: Application
    Filed: May 24, 2023
    Publication date: November 30, 2023
    Applicant: Intel Corporation
    Inventors: Arthur J. Runyan, Richmond Hicks, Nausheen Ansari, Narayan Biswal, Ya-Ti Peng, Abhishek R. Appu, Wen-Fu Kao, Sang-Hee Lee, Joydeep Ray, Changliang Wang, Satyanarayana Avadhanam, Scott Janus, Gary Smith, Nilesh V. Shah, Keith W. Rowe, Robert J. Johnston
  • Publication number: 20230386130
    Abstract: 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: Application
    Filed: April 24, 2023
    Publication date: November 30, 2023
    Applicant: Intel Corporation
    Inventors: Prasoonkumar Surti, Abhishek R. Appu, Subhajit Dasgupta, Srivallaba Mysore, Michael J. Norris, Vasanth Ranganathan, Joydeep Ray
  • Patent number: 11829525
    Abstract: Systems, apparatuses and methods may provide away to enhance an augmented reality (AR) and/or virtual reality (VR) user experience with environmental information captured from sensors located in one or more physical environments. More particularly, systems, apparatuses and methods may provide a way to track, by an eye tracker sensor, a gaze of a user, and capture, by the sensors, environmental information. The systems, apparatuses and methods may render feedback, by one or more feedback devices or display device, for a portion of the environment information based on the gaze of the user.
    Type: Grant
    Filed: April 19, 2021
    Date of Patent: November 28, 2023
    Assignee: Intel Corporation
    Inventors: Altug Koker, Michael Apodaca, Kai Xiao, Chandrasekaran Sakthivel, Jeffery S. Boles, Adam T. Lake, James M. Holland, Pattabhiraman K, Sayan Lahiri, Radhakrishnan Venkataraman, Kamal Sinha, Ankur N. Shah, Deepak S. Vembar, Abhishek R. Appu, Joydeep Ray, Elmoustapha Ould-Ahmed-Vall
  • Publication number: 20230368516
    Abstract: A graphics processor can include a processing cluster array including a plurality of processing clusters coupled with the plurality of memory controllers, each processing cluster of the plurality of processing clusters including a plurality of streaming multiprocessors, the processing cluster array configured for partitioning into a plurality of partitions. The plurality of partitions include a first partition including a first plurality of streaming multiprocessors configured to perform operations for a first neural network, The operations for the first neural network are isolated to the first partition. The plurality of partitions also include a second partition including a second plurality of streaming multiprocessors configured to perform operations for a second neural network. The operations for the second neural network are isolated to the second partition and protected from operations performed for the first neural network.
    Type: Application
    Filed: July 25, 2023
    Publication date: November 16, 2023
    Applicant: Intel Corporation
    Inventors: Barnan Das, Mayuresh M. Varerkar, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Sherine Abdelhak, Praneetha Kotha, Neelay Pandit, John C. Weast, Mike B. Macpherson, Dukhwan Kim, Linda L. Hurd, Abhishek R. Appu, Altug Koker, Joydeep Ray
  • Patent number: 11816384
    Abstract: In accordance with some embodiments, the render rate is varied across and/or up and down the display screen. This may be done based on where the user is looking in order to reduce power consumption and/or increase performance. Specifically the screen display is separated into regions, such as quadrants. Each of these regions is rendered at a rate determined by at least one of what the user is currently looking at, what the user has looked at in the past and/or what it is predicted that the user will look at next. Areas of less focus may be rendered at a lower rate, reducing power consumption in some embodiments.
    Type: Grant
    Filed: October 4, 2022
    Date of Patent: November 14, 2023
    Assignee: Intel Corporation
    Inventors: Eric J. Asperheim, Subramaniam Maiyuran, Kiran C. Veernapu, Sanjeev S. Jahagirdar, Balaji Vembu, Devan Burke, Philip R. Laws, Kamal Sinha, Abhishek R. Appu, Elmoustapha Ould-Ahmed-Vall, Peter L. Doyle, Joydeep Ray, Travis T. Schluessler, John H. Feit, Nikos Kaburlasos, Jacek Kwiatkowski, Altug Koker
  • Publication number: 20230359499
    Abstract: Examples are described here that can be used to allocate commands from multiple sources to performance by one or more segments of a processing device. For example, a processing device can be segmented into multiple portions and each portion is allocated to process commands from a particular source. In the event a single source provides commands, the entire processing device (all segments) can be allocated to process commands from the single source. When a second source provides commands, some segments can be allocated to perform commands from the first source and other segments can be allocated to perform commands from the second source. Accordingly, commands from multiple applications can be executed by a processing unit at the same time.
    Type: Application
    Filed: May 9, 2023
    Publication date: November 9, 2023
    Inventors: James VALERIO, Vasanth RANGANATHAN, Joydeep RAY, Rahul A. KULKARNI, Abhishek R. APPU, Jeffery S. BOLES, Hema C. NALLURI