Patents by Inventor Subramaniam Maiyuran

Subramaniam Maiyuran 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: 12293462
    Abstract: An apparatus to facilitate graphics rendering is disclosed. The apparatus comprises sequencer hardware to operate in a tile mode to render objects, including performing batch formation to generate one or more batches of received objects, performing tile sequencing for each of the objects to compute tile fill intersects for each of the objects and performing a play sequencing of each of the objects.
    Type: Grant
    Filed: January 10, 2024
    Date of Patent: May 6, 2025
    Assignee: Intel Corporation
    Inventors: Subramaniam Maiyuran, Saurabh Sharma, Jorge F. Garcia Pabon, Raghavendra Kamath Miyar, Sudheendra Srivathsa, Justin Decell, Aditya Navale
  • Patent number: 12293431
    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 detect zero value elements within a vector or a set of packed data elements output by a processing resource and generate metadata to indicate a location of the zero value elements within the plurality of data elements.
    Type: Grant
    Filed: May 2, 2023
    Date of Patent: May 6, 2025
    Assignee: Intel Corporation
    Inventors: Joydeep Ray, Scott Janus, Varghese George, Subramaniam Maiyuran, Altug Koker, Abhishek Appu, Prasoonkumar Surti, Vasanth Ranganathan, Valentin Andrei, Ashutosh Garg, Yoav Harel, Arthur Hunter, Jr., SungYe Kim, Mike Macpherson, Elmoustapha Ould-Ahmed-Vall, William Sadler, Lakshminarayanan Striramassarma, Vikranth Vemulapalli
  • Publication number: 20250130767
    Abstract: The disclosed circuit can select micro-operations specifically for converting a value in a first number format to a second number format. The circuit can include micro-operations for various conversions between different number formats, including number formats of different floating-point precisions. Various other methods, systems, and computer-readable media are also disclosed.
    Type: Application
    Filed: October 21, 2024
    Publication date: April 24, 2025
    Applicant: Advanced Micro Devices, Inc.
    Inventors: Shubh Shah, Ashutosh Garg, Bin He, Michael Mantor, Shubra Marwaha, Subramaniam Maiyuran
  • Publication number: 20250130794
    Abstract: The disclosed processing circuit can perform an operation with a first operand having a first number format and a second operand having a second number format by directly using the first operand in the first number format and the second operand in the second number format to produce an output result. Various other methods, systems, and computer-readable media are also disclosed.
    Type: Application
    Filed: December 28, 2023
    Publication date: April 24, 2025
    Applicant: Advanced Micro Devices, Inc.
    Inventors: Shubh Shah, Ashutosh Garg, Bin He, Michael Mantor, Shubra Marwaha, Subramaniam Maiyuran
  • Publication number: 20250130774
    Abstract: The disclosed circuit can interpret a bit sequence as a value based on one of multiple floating point number formats in a bias mode indicated by a bias mode indicator. The circuit can and perform an operation using the value in the bias mode. Various other methods, systems, and computer-readable media are also disclosed.
    Type: Application
    Filed: December 22, 2023
    Publication date: April 24, 2025
    Applicant: Advanced Micro Devices, Inc.
    Inventors: Shubh Shah, Ashutosh Garg, Bin He, Michael Mantor, Shubra Marwaha, Subramaniam Maiyuran
  • Publication number: 20250130769
    Abstract: The disclosed circuit is configured to round a value in a first number format using a random value. Using the rounded value, the circuit can convert the rounded value to a second number format that has a lower precision than a precision of the first number format. Various other methods, systems, and computer-readable media are also disclosed.
    Type: Application
    Filed: December 22, 2023
    Publication date: April 24, 2025
    Applicant: Advanced Micro Devices, Inc.
    Inventors: Shubh Shah, Ashutosh Garg, Bin He, Michael Mantor, Shubra Marwaha, Subramaniam Maiyuran
  • Publication number: 20250117356
    Abstract: Methods and apparatus relating to techniques for multi-tile memory management. In an example, a graphics processor includes an interposer, a first chiplet coupled with the interposer, the first chiplet including a graphics processing resource and an interconnect network coupled with the graphics processing resource, cache circuitry coupled with the graphics processing resource via the interconnect network, and a second chiplet coupled with the first chiplet via the interposer, the second chiplet including a memory-side cache and a memory controller coupled with the memory-side cache. The memory controller is configured to enable access to a high-bandwidth memory (HBM) device, the memory-side cache is configured to cache data associated with a memory access performed via the memory controller, and the cache circuitry is logically positioned between the graphics processing resource and a chiplet interface.
    Type: Application
    Filed: October 15, 2024
    Publication date: April 10, 2025
    Applicant: Intel Corporation
    Inventors: Abhishek R. Appu, Altug Koker, Aravindh Anantaraman, Elmoustapha Ould-Ahmed-Vall, Valentin Andrei, Nicolas Galoppo Von Borries, Varghese George, Mike Macpherson, Subramaniam Maiyuran, Joydeep Ray, Lakshminarayanan Striramassarma, Scott Janus, Brent Insko, Vasanth Ranganathan, Kamal Sinha, Arthur Hunter, Prasoonkumar Surti, David Puffer, James Valerio, Ankur N. Shah
  • Publication number: 20250117360
    Abstract: A processing apparatus includes a processing resource including a general-purpose parallel processing engine and a matrix accelerator. The matrix accelerator includes first circuitry to receive a command to perform operations associated with an instruction, second circuitry to configure the matrix accelerator according to a physical depth of a systolic array within the matrix accelerator and a logical depth associated with the instruction, third circuitry to read operands for the instruction from a register file associated with the systolic array, fourth circuitry to perform operations for the instruction via one or more passes through one or more physical pipeline stages of the systolic array based on a configuration performed by the second circuitry, and fifth circuitry to write output of the operations to the register file associated with the systolic array.
    Type: Application
    Filed: October 30, 2024
    Publication date: April 10, 2025
    Applicant: Intel Corporation
    Inventors: Jorge Parra, Wei-yu Chen, Kaiyu Chen, Varghese George, Junjie Gu, Chandra Gurram, Guei-Yuan Lueh, Stephen Junkins, Subramaniam Maiyuran, Supratim Pal
  • Publication number: 20250103546
    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: October 4, 2024
    Publication date: March 27, 2025
    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
  • Publication number: 20250103548
    Abstract: Systems and methods for improving cache efficiency and utilization are disclosed. In one embodiment, a graphics processor includes processing resources to perform graphics operations and a cache controller of a cache coupled to the processing resources. The cache controller is configured to control cache priority by determining whether default settings or an instruction will control cache operations for the cache.
    Type: Application
    Filed: November 14, 2024
    Publication date: March 27, 2025
    Applicant: Intel Corporation
    Inventors: Altug Koker, Joydeep Ray, Ben Ashbaugh, Jonathan Pearce, Abhishek Appu, Vasanth Ranganathan, Lakshminarayanan Striramassarma, Elmoustapha Ould-Ahmed-Vall, Aravindh Anantaraman, Valentin Andrei, Nicolas Galoppo Von Borries, Varghese George, Yoav Harel, Arthur Hunter, JR., Brent Insko, Scott Janus, Pattabhiraman K, Mike Macpherson, Subramaniam Maiyuran, Marian Alin Petre, Murali Ramadoss, Shailesh Shah, Kamal Sinha, Prasoonkumar Surti, Vikranth Vemulapalli
  • Publication number: 20250103343
    Abstract: Embodiments described herein provide an apparatus comprising a plurality of processing resources including a first processing resource and a second processing resource, a memory communicatively coupled to the first processing resource and the second processing resource, and a processor to receive data dependencies for one or more tasks comprising one or more producer tasks executing on the first processing resource and one or more consumer tasks executing on the second processing resource and move a data output from one or more producer tasks executing on the first processing resource to a cache memory communicatively coupled to the second processing resource. Other embodiments may be described and claimed.
    Type: Application
    Filed: November 21, 2024
    Publication date: March 27, 2025
    Applicant: INTEL CORPORATION
    Inventors: Christopher J. HUGHES, Prasoonkumar SURTI, Guei-Yuan LUEH, Adam T. LAKE, Jill BOYCE, Subramaniam MAIYURAN, Lidong XU, James M. HOLLAND, Vasanth RANGANATHAN, Nikos KABURLASOS, Altug KOKER, Abhishek R. Appu
  • Publication number: 20250104180
    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: Application
    Filed: December 3, 2024
    Publication date: March 27, 2025
    Applicant: Intel Corporation
    Inventors: Abhishek Appu, Subramaniam Maiyuran, Mike Macpherson, Fangwen Fu, Jiasheng Chen, Varghese George, Vasanth Ranganathan, Ashutosh Garg, Joydeep Ray
  • Publication number: 20250103511
    Abstract: Systems and methods for improving cache efficiency and utilization are disclosed. In one embodiment, a graphics processor includes processing resources to perform graphics operations and a cache controller of a cache memory that is coupled to the processing resources. The cache controller is configured to set an initial aging policy using an aging field based on age of cache lines within the cache memory and to determine whether a hint or an instruction to indicate a level of aging has been received.
    Type: Application
    Filed: October 3, 2024
    Publication date: March 27, 2025
    Applicant: Intel Corporation
    Inventors: Altug Koker, Joydeep Ray, Elmoustapha Ould-Ahmed-Vall, Abhishek Appu, Aravindh Anantaraman, Valentin Andrei, Durgaprasad Bilagi, Varghese George, Brent Insko, Sanjeev Jahagirdar, Scott Janus, Pattabhiraman K, SungYe Kim, Subramaniam Maiyuran, Vasanth Ranganathan, Lakshminarayanan Striramassarma, Xinmin Tian
  • Publication number: 20250103547
    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: October 4, 2024
    Publication date: March 27, 2025
    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
  • Publication number: 20250103430
    Abstract: Apparatuses including a graphics processing unit, graphics multiprocessor, or graphics processor having an error detection correction logic for cache memory or shared memory are disclosed. In one embodiment, a graphics multiprocessor includes cache or local memory for storing data and error detection correction circuitry integrated with or coupled to the cache or local memory. The error detection correction circuitry is configured to perform a tag read for data of the cache or local memory to check error detection correction information.
    Type: Application
    Filed: October 4, 2024
    Publication date: March 27, 2025
    Applicant: Intel Corporation
    Inventors: Vasanth Ranganathan, Joydeep Ray, Abhishek R. Appu, Nikos Kaburlasos, Lidong Xu, Subramaniam Maiyuran, Altug Koker, Naveen Matam, James Holland, Brent Insko, Sanjeev Jahagirdar, Scott Janus, Durgaprasad Bilagi, Xinmin Tian
  • Patent number: 12254526
    Abstract: Apparatuses including general-purpose graphics processing units having on chip dense memory for temporal buffering are disclosed. In one embodiment, a graphics multiprocessor includes a plurality of compute engines to perform first computations to generate a first set of data, cache for storing data, and a high density memory that is integrated on chip with the plurality of compute engines and the cache. The high density memory to receive the first set of data, to temporarily store the first set of data, and to provide the first set of data to the cache during a first time period that is prior to a second time period when the plurality of compute engines will use the first set of data for second computations.
    Type: Grant
    Filed: March 15, 2019
    Date of Patent: March 18, 2025
    Assignee: Intel Corporation
    Inventors: Varghese George, Altug Koker, Aravindh Anantaraman, Subramaniam Maiyuran, SungYe Kim, Valentin Andrei, Elmoustapha Ould-Ahmed-Vall, Joydeep Ray, Abhishek R. Appu, Nicolas C. Galoppo von Borries, Prasoonkumar Surti, Mike Macpherson
  • Patent number: 12242846
    Abstract: An apparatus to facilitate supporting 8-bit floating point format operands in a computing architecture is disclosed. The apparatus includes a processor comprising: a decoder to decode an instruction fetched for execution into a decoded instruction, wherein the decoded instruction is a matrix instruction that operates on 8-bit floating point operands to cause the processor to perform a parallel dot product operation; a controller to schedule the decoded instruction and provide input data for the 8-bit floating point operands in accordance with an 8-bit floating data format indicated by the decoded instruction; and systolic dot product circuitry to execute the decoded instruction using systolic layers, each systolic layer comprises one or more sets of interconnected multipliers, shifters, and adder, each set of multipliers, shifters, and adders to generate a dot product of the 8-bit floating point operands.
    Type: Grant
    Filed: March 27, 2024
    Date of Patent: March 4, 2025
    Assignee: INTEL CORPORATION
    Inventors: Naveen Mellempudi, Subramaniam Maiyuran, Varghese George, Fangwen Fu, Shuai Mu, Supratim Pal, Wei Xiong
  • Patent number: 12242414
    Abstract: Methods and apparatus relating to data initialization techniques. In an example, an apparatus comprises a processor to read one or more metadata codes which map to one or more cache lines in a cache memory and invoke a random number generator to generate random numerical data for the one or more cache lines in response to a determination that the one more metadata codes indicate that the cache lines are to contain random numerical data. Other embodiments are also disclosed and claimed.
    Type: Grant
    Filed: March 14, 2020
    Date of Patent: March 4, 2025
    Assignee: INTEL CORPORATION
    Inventors: Abhishek R. Appu, Aravindh Anantaraman, Elmoustapha Ould-Ahmed-Vall, Valentin Andrei, Nicolas Galoppo Von Borries, Varghese George, Altug Koker, Mike Macpherson, Subramaniam Maiyuran, Joydeep Ray, Vasanth Ranganathan
  • Publication number: 20250068588
    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: September 3, 2024
    Publication date: February 27, 2025
    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
  • Patent number: 12229581
    Abstract: Graphics processing systems and methods are described. A graphics processing apparatus may comprise one or more graphics processing engines, a memory, a memory management unit (MMU) including a GPU second level page table and GPU dirty bit tracking, and a provisioning agent to receive a request from a virtual machine monitor (VMM) to provision a subcluster of graphics processing apparatuses, the subcluster including a plurality of graphics processing engines from a plurality of graphics processing apparatuses connected using a scale-up fabric, provision the scale-up fabric to route data within the subcluster of graphics processing apparatuses, and provision a plurality of resources on the graphics processing apparatus for the subcluster based on the request from the VMM.
    Type: Grant
    Filed: August 29, 2023
    Date of Patent: February 18, 2025
    Assignee: Intel Corporation
    Inventors: Rajesh Sankaran, Bret Toll, William Rash, Subramaniam Maiyuran, Gang Chen, Varghese George