Patents by Inventor Vasanth Ranganathan

Vasanth Ranganathan 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).

  • SPARSE OPTIMIZATIONS FOR A MATRIX ACCELERATOR ARCHITECTURE
    Publication number: 20210374897
    Abstract: Embodiments described herein include, software, firmware, and hardware logic that provides techniques to perform arithmetic on sparse data via a systolic processing unit. Embodiment described herein provided techniques to skip computational operations for zero filled matrices and sub-matrices. Embodiments additionally provide techniques to maintain data compression through to a processing unit. Embodiments additionally provide an architecture for a sparse aware logic unit.
    Type: Application
    Filed: June 3, 2021
    Publication date: December 2, 2021
    Applicant: Intel Corporation
    Inventors: Joydeep Ray, Scott Janus, Varghese George, Subramaniam Maiyuran, Altug Koker, Abhishek Appu, Prasoonkumar Surti, Vasanth Ranganathan, Andrei Valentin, Ashutosh Garg, Yoav Harel, Arthur Hunter, JR., SungYe Kim, Mike Macpherson, Elmoustapha Ould-Ahmed-Vall, William Sadler, Lakshminarayanan Striramassarma, Vikranth Vemulapalli
  • Switching crossbar for graphics pipeline
    Patent number: 11176083
    Abstract: A shared local memory data crossbar may be implemented in multiple stages. With this approach, the number of multiplexer cells can be reduced by fifty percent (50%) or more in some embodiments.
    Type: Grant
    Filed: April 14, 2020
    Date of Patent: November 16, 2021
    Assignee: Intel Corporation
    Inventors: Joydeep Ray, James A. Valerio, Altug Koker, Abhishek R. Appu, Vasanth Ranganathan
  • 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
  • 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
  • Multi-tile graphics processor rendering
    Patent number: 11145105
    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: March 15, 2019
    Date of Patent: October 12, 2021
    Assignee: INTEL CORPORATION
    Inventors: Prasoonkumar Surti, Arthur Hunter, Jr., Kamal Sinha, Scott Janus, Brent Insko, Vasanth Ranganathan, Lakshminarayanan Striramassarma
  • 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
  • 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
  • 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
  • Local memory sharing between kernels
    Patent number: 11119820
    Abstract: One embodiment provides for a general-purpose graphics processing unit comprising a set of processing elements to execute one or more thread groups of a second kernel to be executed by the general-purpose graphics processor, an on-chip memory coupled to the set of processing elements, and a scheduler coupled with the set of processing elements, the scheduler to schedule the thread groups of the kernel to the set of processing elements, wherein the scheduler is to schedule a thread group of the second kernel to execute subsequent to a thread group of a first kernel, the thread group of the second kernel configured to access a region of the on-chip memory that contains data written by the thread group of the first kernel in response to a determination that the second kernel is dependent upon the first kernel.
    Type: Grant
    Filed: March 15, 2019
    Date of Patent: September 14, 2021
    Assignee: Intel Corporation
    Inventors: Valentin Andrei, Aravindh Anantaraman, Abhishek R. Appu, Nicolas C. Galoppo von Borries, Altug Koker, SungYe Kim, Elmoustapha Ould-Ahmed-Vall, Mike Macpherson, Subramaniam Maiyuran, Vasanth Ranganathan, Joydeep Ray, Varghese George
  • Sparse optimizations for a matrix accelerator architecture
    Patent number: 11113784
    Abstract: Embodiments described herein include, software, firmware, and hardware logic that provides techniques to perform arithmetic on sparse data via a systolic processing unit. Embodiment described herein provided techniques to skip computational operations for zero filled matrices and sub-matrices. Embodiments additionally provide techniques to maintain data compression through to a processing unit. Embodiments additionally provide an architecture for a sparse aware logic unit.
    Type: Grant
    Filed: October 6, 2020
    Date of Patent: September 7, 2021
    Assignee: Intel Corporation
    Inventors: Joydeep Ray, Scott Janus, Varghese George, Subramaniam Maiyuran, Altug Koker, Abhishek Appu, Prasoonkumar Surti, Vasanth Ranganathan, Andrei Valentin, Ashutosh Garg, Yoav Harel, Arthur Hunter, Jr., SungYe Kim, Mike Macpherson, Elmoustapha Ould-Ahmed-Vall, William Sadler, Lakshminarayanan Striramassarma, Vikranth Vemulapalli
  • Enhancing hierarchical depth buffer culling efficiency via mask accumulation
    Patent number: 11107269
    Abstract: Embodiments described herein provide for a technique to improve the culling efficiency of coarse depth testing. One embodiment provides for a graphics processor that includes a depth pipeline that is configured to perform a method to track a history of source fragments that are tested against a destination tile. When a combination of partial fragments sum to full coverage, the most conservative source far depth value is used instead of the previous destination far depth value.
    Type: Grant
    Filed: December 9, 2019
    Date of Patent: August 31, 2021
    Assignee: Intel Corporation
    Inventors: Saikat Mandal, Vasanth Ranganathan
  • BARRIER SYNCHRONIZATION MECHANISM
    Publication number: 20210263785
    Abstract: An apparatus to facilitate thread barrier synchronization is disclosed. The apparatus includes a plurality of processing resources to execute a plurality of execution threads included in a thread workgroup and barrier synchronization hardware to assign a first named barrier to a first set of the plurality of execution threads in the thread workgroup, assign a second named barrier to a second set of the plurality of execution threads in the thread workgroup, synchronize execution of the first set of execution threads via the first named barrier and synchronize execution of the second set of execution threads via the second named barrier.
    Type: Application
    Filed: February 24, 2020
    Publication date: August 26, 2021
    Applicant: Intel Corporation
    Inventors: James Valerio, Vasanth Ranganathan, Joydeep Ray
  • PERSON TRACKING AND PRIVACY AND ACCELERATION OF DATA USING AUTONOMOUS MACHINES
    Publication number: 20210264163
    Abstract: A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.
    Type: Application
    Filed: February 11, 2021
    Publication date: August 26, 2021
    Applicant: Intel Corporation
    Inventors: Mayuresh M. Varerkar, Barnan Das, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Sherine Abdelhak, Sachin Godse, Farshad Akhbari, Narayan Srinivasa, Altug Koker, Nadathur Rajagopalan Satish, Dukhwan Kim, Feng Chen, Abhishek R. Appu, Joydeep Ray, Ping T. Tang, Michael S. Strickland, Xiaoming Chen, Anbang Yao, Tatiana Shpeisman, Vasanth Ranganathan, Sanjeev Jahagirdar
  • DATA PREFETCHING FOR GRAPHICS DATA PROCESSING
    Publication number: 20210255957
    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 L1 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: January 28, 2021
    Publication date: August 19, 2021
    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
  • MEMORY COMPRESSION HASHING MECHANISM
    Publication number: 20210255951
    Abstract: An apparatus to facilitate memory data compression is disclosed. The apparatus includes a memory and having a plurality of banks to store main data and metadata associated with the main data and a memory management unit (MMU) coupled to the plurality of banks to perform a hash function to compute indices into virtual address locations in memory for the main data and the metadata and adjust the metadata virtual address locations to store each adjusted metadata virtual address location in a bank storing the associated main data.
    Type: Application
    Filed: March 30, 2021
    Publication date: August 19, 2021
    Applicant: Intel Corporation
    Inventors: Abhishek R. Appu, Altug Koker, Joydeep Ray, Niranjan Cooray, Prasoonkumar Surti, Sudhakar Kamma, Vasanth Ranganathan
  • INTELLIGENT THREAD DISPATCH AND VECTORIZATION OF ATOMIC OPERATIONS
    Publication number: 20210255857
    Abstract: A mechanism is described for facilitating intelligent dispatching and vectorizing at autonomous machines. A method of embodiments, as described herein, includes detecting a plurality of threads corresponding to a plurality of workloads associated with tasks relating to a graphics processor. The method may further include determining a first set of threads of the plurality of threads that are similar to each other or have adjacent surfaces, and physically clustering the first set of threads close together using a first set of adjacent compute blocks.
    Type: Application
    Filed: December 21, 2020
    Publication date: August 19, 2021
    Applicant: Intel Corporation
    Inventors: Feng Chen, Narayan Srinivasa, Abhishek R. Appu, Altug Koker, Kamal Sinha, Balaji Vembu, Joydeep Ray, Nicolas C. Galoppo Von Borries, Prasoonkumar Surti, Ben J. Ashbaugh, Sanjeev Jahagirdar, Vasanth Ranganathan
  • Instructions and logic to perform floating point and integer operations for machine learning
    Patent number: 11080046
    Abstract: A processing apparatus is provided comprising a multiprocessor having a multithreaded architecture. The multiprocessor can execute at least one single instruction to perform parallel mixed precision matrix operations. In one embodiment the apparatus includes a memory interface and an array of multiprocessors coupled to the memory interface. At least one multiprocessor in the array of multiprocessors is configured to execute a fused multiply-add instruction in parallel across multiple threads.
    Type: Grant
    Filed: February 5, 2021
    Date of Patent: August 3, 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
  • Hierarchical depth buffer back annotation
    Patent number: 11080925
    Abstract: Briefly, in accordance with one or more embodiments, a processor performs a coarse depth test on pixel data, and performs a final depth test on the pixel data. Coarse depth data is stored in a coarse depth cache, and per pixel depth data is stored in a per pixel depth cache. If a result of the coarse depth test is ambiguous, the processor is to read the per pixel depth data from the per pixel depth cache, and to update the coarse depth data with the per pixel depth data if the per pixel depth data has a smaller depth range than the coarse depth data.
    Type: Grant
    Filed: June 28, 2019
    Date of Patent: August 3, 2021
    Assignee: INTEL CORPORATION
    Inventors: Vasanth Ranganathan, Saikat Mandal, Saurabh Sharma, Vamsee Vardhan Chivukula, Karol A. Szerszen, Aleksander Olek Neyman, Altug Koker, Prasoonkumar Surti, Abhishek Appu, Joydeep Ray, Art Hunter, Luis F. Cruz Camacho, Akshay R. Chada
  • Dynamic load balancing of compute assets among different compute contexts
    Patent number: 11074109
    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: Grant
    Filed: March 27, 2019
    Date of Patent: July 27, 2021
    Assignee: Intel Corporation
    Inventors: James Valerio, Vasanth Ranganathan, Joydeep Ray, Rahul A. Kulkarni, Abhishek R. Appu, Jeffery S. Boles, Hema C. Nalluri