Patents by Inventor Chandra Gurram

Chandra Gurram 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: 12670121
    Abstract: Graphics processors and graphics processing units having dot product accumulate instructions for a hybrid floating point format are disclosed. In one embodiment, a graphics multiprocessor comprises an instruction unit to dispatch instructions and a processing resource coupled to the instruction unit. The processing resource is configured to receive a dot product accumulate instruction from the instruction unit and to process the dot product accumulate instruction using a bfloat16 number (BF16) format.
    Type: Grant
    Filed: April 26, 2024
    Date of Patent: June 30, 2026
    Assignee: INTEL CORPORATION
    Inventors: Subramaniam Maiyuran, Shubra Marwaha, Ashutosh Garg, Supratim Pal, Jorge Parra, Chandra Gurram, Varghese George, Darin Starkey, Guei-Yuan Lueh
  • Patent number: 12639398
    Abstract: Described herein is a graphics processor including a plurality of processing clusters coupled with a host interface, each processing cluster comprising a plurality of multiprocessors, the plurality of multiprocessors interconnected via a data interconnect, and each multiprocessor comprising sparse matrix multiply acceleration hardware including a systolic processing array with feedback inputs.
    Type: Grant
    Filed: June 27, 2024
    Date of Patent: May 26, 2026
    Assignee: Intel Corporation
    Inventors: Subramaniam Maiyuran, Jorge Parra, Supratim Pal, Ashutosh Garg, Shubra Marwaha, Chandra Gurram, Darin Starkey, Durgesh Borkar, Varghese George
  • Publication number: 20260093488
    Abstract: An apparatus to facilitate utilizing structured sparsity in systolic arrays is disclosed. The apparatus includes a processor comprising a systolic array to receive data from a plurality of source registers, the data comprising unpacked source data, structured source data that is packed based on sparsity, and metadata corresponding to the structured source data; identify portions of the unpacked source data to multiply with the structured source data, the portions of the unpacked source data identified based on the metadata; and output, to a destination register, a result of multiplication of the portions of the unpacked source data and the structured source data.
    Type: Application
    Filed: July 30, 2025
    Publication date: April 2, 2026
    Applicant: Intel Corporation
    Inventors: Subramaniam Maiyuran, Jorge Parra, Ashutosh Garg, Chandra Gurram, Chunhui Mei, Durgesh Borkar, Shubra Marwaha, Supratim Pal, Varghese George, Wei Xiong, Yan Li, Yongsheng Liu, Dipankar Das, Sasikanth Avancha, Dharma Teja Vooturi, Naveen K. Mellempudi
  • Publication number: 20260037263
    Abstract: An apparatus to facilitate gathering payload from arbitrary registers for send messages in a graphics environment is disclosed. The apparatus includes processing resources comprising execution circuitry to receive a send gather message instruction identifying a number of registers to access for a send message and identifying IDs of a plurality of individual registers corresponding to the number of registers; decode a first phase of the send gather message instruction; based on decoding the first phase, cause a second phase of the send gather message instruction to bypass an instruction decode stage; and dispatch the first phase subsequently followed by dispatch of the second phase to a send pipeline. The apparatus can also perform an immediate move of the IDs of the plurality of individual registers to an architectural register of the execution circuitry and include a pointer to the architectural register in the send gather message instruction.
    Type: Application
    Filed: July 9, 2025
    Publication date: February 5, 2026
    Applicant: Intel Corporation
    Inventors: Supratim Pal, Chandra Gurram, Fan-Yin Tzeng, Subramaniam Maiyuran, Guei-Yuan Lueh, Timothy R. Bauer, Vikranth Vemulapalli, Wei-Yu Chen
  • Publication number: 20260010345
    Abstract: A processing apparatus is described herein that includes a general-purpose parallel processing engine comprising a matrix accelerator including one or more systolic arrays, at least one of the one or more systolic arrays comprising multiple pipeline stages, each pipeline stage of the multiple pipeline stages including multiple processing elements, the multiple processing elements configured to perform processing operations on input matrix elements based on output sparsity metadata. The output sparsity metadata indicates to the multiple processing elements to bypass multiplication for a first row of elements of a second matrix and multiply a second row of elements of the second matrix with a column of matrix elements of a first matrix.
    Type: Application
    Filed: July 16, 2025
    Publication date: January 8, 2026
    Applicant: Intel Corporation
    Inventors: Jorge Parra, Fangwen Fu, Subramaniam Maiyuran, Varghese George, Mike Macpherson, Supratim Pal, Chandra Gurram, Sabareesh Ganapathy, Sasikanth Avancha, Dharma Teja Vooturi, Naveen Mellempudi, Dipankar Das
  • Publication number: 20250390307
    Abstract: A processing apparatus includes a general-purpose parallel processing engine including a set of multiple processing elements including a single precision floating-point unit, a double precision floating point unit, and an integer unit; a matrix accelerator including one or more systolic arrays; a first register file coupled with a first read control circuit, wherein the first read control circuit couples with the set of multiple processing elements and the matrix accelerator to arbitrate read requests to the first register file from the set of multiple processing elements and the matrix accelerator; and a second register file coupled with a second read control circuit, wherein the second read control circuit couples with the matrix accelerator to arbitrate read requests to the second register file from the matrix accelerator and limit access to the second register file by the set of multiple processing elements.
    Type: Application
    Filed: May 29, 2025
    Publication date: December 25, 2025
    Applicant: Intel Corporation
    Inventors: Chandra Gurram, Wei-yu Chen, Fangwen Fu, Sabareesh Ganapathy, Varghese George, Guei-Yuan Lueh, Subramaniam Maiyuran, Mike Macpherson, Supratim Pal, Jorge Parra
  • Patent number: 12405787
    Abstract: An apparatus to facilitate utilizing structured sparsity in systolic arrays is disclosed. The apparatus includes a processor comprising a systolic array to receive data from a plurality of source registers, the data comprising unpacked source data, structured source data that is packed based on sparsity, and metadata corresponding to the structured source data; identify portions of the unpacked source data to multiply with the structured source data, the portions of the unpacked source data identified based on the metadata; and output, to a destination register, a result of multiplication of the portions of the unpacked source data and the structured source data.
    Type: Grant
    Filed: March 29, 2024
    Date of Patent: September 2, 2025
    Assignee: INTEL CORPORATION
    Inventors: Subramaniam Maiyuran, Jorge Parra, Ashutosh Garg, Chandra Gurram, Chunhui Mei, Durgesh Borkar, Shubra Marwaha, Supratim Pal, Varghese George, Wei Xiong, Yan Li, Yongsheng Liu, Dipankar Das, Sasikanth Avancha, Dharma Teja Vooturi, Naveen K. Mellempudi
  • Patent number: 12399685
    Abstract: A processing apparatus is described herein that includes a general-purpose parallel processing engine comprising a matrix accelerator including one or more systolic arrays, at least one of the one or more systolic arrays comprising multiple pipeline stages, each pipeline stage of the multiple pipeline stages including multiple processing elements, the multiple processing elements configured to perform processing operations on input matrix elements based on output sparsity metadata. The output sparsity metadata indicates to the multiple processing elements to bypass multiplication for a first row of elements of a second matrix and multiply a second row of elements of the second matrix with a column of matrix elements of a first matrix.
    Type: Grant
    Filed: June 25, 2021
    Date of Patent: August 26, 2025
    Assignee: Intel Corporation
    Inventors: Jorge Parra, Fangwen Fu, Subramaniam Maiyuran, Varghese George, Mike Macpherson, Supratim Pal, Chandra Gurram, Sabareesh Ganapathy, Sasikanth Avancha, Dharma Teja Vooturi, Naveen Mellempudi, Dipankar Das
  • Patent number: 12386617
    Abstract: An apparatus to facilitate gathering payload from arbitrary registers for send messages in a graphics environment is disclosed. The apparatus includes processing resources comprising execution circuitry to receive a send gather message instruction identifying a number of registers to access for a send message and identifying IDs of a plurality of individual registers corresponding to the number of registers; decode a first phase of the send gather message instruction; based on decoding the first phase, cause a second phase of the send gather message instruction to bypass an instruction decode stage; and dispatch the first phase subsequently followed by dispatch of the second phase to a send pipeline. The apparatus can also perform an immediate move of the IDs of the plurality of individual registers to an architectural register of the execution circuitry and include a pointer to the architectural register in the send gather message instruction.
    Type: Grant
    Filed: September 22, 2021
    Date of Patent: August 12, 2025
    Assignee: INTEL CORPORATION
    Inventors: Supratim Pal, Chandra Gurram, Fan-Yin Tzeng, Subramaniam Maiyuran, Guei-Yuan Lueh, Timothy R. Bauer, Vikranth Vemulapalli, Wei-Yu Chen
  • Patent number: 12346694
    Abstract: A processing apparatus includes a general-purpose parallel processing engine including a set of multiple processing elements including a single precision floating-point unit, a double precision floating point unit, and an integer unit; a matrix accelerator including one or more systolic arrays; a first register file coupled with a first read control circuit, wherein the first read control circuit couples with the set of multiple processing elements and the matrix accelerator to arbitrate read requests to the first register file from the set of multiple processing elements and the matrix accelerator; and a second register file coupled with a second read control circuit, wherein the second read control circuit couples with the matrix accelerator to arbitrate read requests to the second register file from the matrix accelerator and limit access to the second register file by the set of multiple processing elements.
    Type: Grant
    Filed: June 25, 2021
    Date of Patent: July 1, 2025
    Assignee: Intel Corporation
    Inventors: Chandra Gurram, Wei-yu Chen, Fangwen Fu, Sabareesh Ganapathy, Varghese George, Guei-Yuan Lueh, Subramaniam Maiyuran, Mike Macpherson, Supratim Pal, Jorge Parra
  • Publication number: 20250199858
    Abstract: Provision of multiple register allocation sizes for threads is described. An example of a system includes one or more processors including a graphics processor, the graphics processor including at least a first local thread dispatcher (TDL) and multiple processing resources, each processing resource including a plurality of registers; and memory for storage of data for processing, wherein the one or more processors are to determine a register size for a first thread; identify one or more processing resources having sufficient register space for the first thread; select a processing resource of the one or more processing resources having sufficient register space to assign the first thread; select an available thread slot of the selected processing resource for the first thread; and allocate registers of the selected processing resource for the first thread.
    Type: Application
    Filed: November 25, 2024
    Publication date: June 19, 2025
    Applicant: Intel Corporation
    Inventors: Chandra Gurram, Wei-Yu Chen, Vikranth Vemulapalli, Subramaniam Maiyuran, Jorge Eduardo Parra Osorio, Shuai Mu, Guei-Yuan Lueh, Supratim Pal
  • Publication number: 20250199863
    Abstract: A processing apparatus can include a general-purpose parallel processing engine comprising a matrix accelerator including a multi-stage systolic array, where each stage includes multiple processing elements associated with multiple processing channels. The multiple processing elements are configured to receive output sparsity metadata that is independent of input sparsity of input matrix elements and perform processing operations on the input matrix elements based on the output sparsity metadata.
    Type: Application
    Filed: November 25, 2024
    Publication date: June 19, 2025
    Applicant: Intel Corporation
    Inventors: Jorge Parra, Supratim Pal, Jiasheng Chen, Chandra Gurram
  • Publication number: 20250117359
    Abstract: A processing apparatus described herein includes a general-purpose parallel processing engine comprising a systolic array having multiple pipelines, each of the multiple pipelines including multiple pipeline stages, wherein the multiple pipelines include a first pipeline, a second pipeline, and a common input shared between the first pipeline and the second pipeline.
    Type: Application
    Filed: October 11, 2024
    Publication date: April 10, 2025
    Applicant: Intel Corporation
    Inventors: Jorge Parra, Jiasheng Chen, Supratim Pal, Fangwen Fu, Sabareesh Ganapathy, Chandra Gurram, Chunhui Mei, Yue Qi
  • 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
  • Patent number: 12210905
    Abstract: Provision of multiple register allocation sizes for threads is described. An example of a system includes one or more processors including a graphics processor, the graphics processor including at least a first local thread dispatcher (TDL) and multiple processing resources, each processing resource including a plurality of registers; and memory for storage of data for processing, wherein the one or more processors are to determine a register size for a first thread; identify one or more processing resources having sufficient register space for the first thread; select a processing resource of the one or more processing resources having sufficient register space to assign the first thread; select an available thread slot of the selected processing resource for the first thread; and allocate registers of the selected processing resource for the first thread.
    Type: Grant
    Filed: June 25, 2021
    Date of Patent: January 28, 2025
    Assignee: INTEL CORPORATION
    Inventors: Chandra Gurram, Wei-Yu Chen, Vikranth Vemulapalli, Subramaniam Maiyuran, Jorge Eduardo Parra Osorio, Shuai Mu, Guei-Yuan Lueh, Supratim Pal
  • Patent number: 12189571
    Abstract: A processing apparatus described herein includes a general-purpose parallel processing engine comprising a systolic array having multiple pipelines, each of the multiple pipelines including multiple pipeline stages, wherein the multiple pipelines include a first pipeline, a second pipeline, and a common input shared between the first pipeline and the second pipeline.
    Type: Grant
    Filed: June 25, 2021
    Date of Patent: January 7, 2025
    Assignee: Intel Corporation
    Inventors: Jorge Parra, Jiasheng Chen, Supratim Pal, Fangwen Fu, Sabareesh Ganapathy, Chandra Gurram, Chunhui Mei, Yue Qi
  • Patent number: 12190158
    Abstract: A processing apparatus can include a general-purpose parallel processing engine comprising a matrix accelerator including a multi-stage systolic array, where each stage includes multiple processing elements associated with multiple processing channels. The multiple processing elements are configured to receive output sparsity metadata that is independent of input sparsity of input matrix elements and perform processing operations on the input matrix elements based on the output sparsity metadata.
    Type: Grant
    Filed: June 25, 2021
    Date of Patent: January 7, 2025
    Assignee: Intel Corporation
    Inventors: Jorge Parra, Supratim Pal, Jiasheng Chen, Chandra Gurram
  • Publication number: 20240427847
    Abstract: Described herein is a graphics processor including a plurality of processing clusters coupled with a host interface, each processing cluster comprising a plurality of multiprocessors, the plurality of multiprocessors interconnected via a data interconnect, and each multiprocessor comprising sparse matrix multiply acceleration hardware including a systolic processing array with feedback inputs.
    Type: Application
    Filed: June 27, 2024
    Publication date: December 26, 2024
    Applicant: Intel Corporation
    Inventors: SUBRAMANIAM MAIYURAN, JORGE PARRA, SUPRATIM PAL, ASHUTOSH GARG, SHUBRA MARWAHA, CHANDRA GURRAM, DARIN STARKEY, DURGESH BORKAR, VARGHESE GEORGE
  • Patent number: 12174783
    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: Grant
    Filed: June 24, 2021
    Date of Patent: December 24, 2024
    Assignee: 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: 20240362180
    Abstract: Graphics processors and graphics processing units having dot product accumulate instructions for a hybrid floating point format are disclosed. In one embodiment, a graphics multiprocessor comprises an instruction unit to dispatch instructions and a processing resource coupled to the instruction unit. The processing resource is configured to receive a dot product accumulate instruction from the instruction unit and to process the dot product accumulate instruction using a bfloat16 number (BF16) format.
    Type: Application
    Filed: April 26, 2024
    Publication date: October 31, 2024
    Applicant: Intel Corporation
    Inventors: Subramaniam Maiyuran, Shubra Marwaha, Ashutosh Garg, Supratim Pal, Jorge Parra, Chandra Gurram, Varghese George, Darin Starkey, Guei-Yuan Lueh