Patents by Inventor Varghese George
Varghese George 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).
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Patent number: 12293431Abstract: 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: GrantFiled: May 2, 2023Date of Patent: May 6, 2025Assignee: Intel CorporationInventors: 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
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Publication number: 20250136663Abstract: Provided herein are multi-chain chimeric polypeptides and uses thereof for treating cancer, aging related diseases or conditions, and/or an infectious disease. Further provided, are methods for stimulating an immune cell, inducing or increasing proliferation of an immune cell, and/or inducing differentitation of an immune cell into a memory-like immune cell by contacting the immune cell with the multi-chain chimeric polypeptides disclosed herein.Type: ApplicationFiled: October 31, 2024Publication date: May 1, 2025Inventors: Hing C. Wong, Bai Liu, Xiaoyun Zhu, Varghese George, Pallavi Chaturvedi
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Publication number: 20250120586Abstract: An oral health self-monitoring system includes a portable photo guide that is adapted to cooperate with a smartphone camera to obtain images of the patient's oral cavity. A processor, preferably programmed and operable to execute machine learning algorithms, analyzes the images for cavities and plaque. In some implementations, the portable photo guide includes an onboard camera, and the smart phone is connected to the camera and programmed to manage the camera to obtain images of the patient's oral cavity and to send them to a remote server for analysis.Type: ApplicationFiled: October 11, 2024Publication date: April 17, 2025Inventors: Varghese George, Renjith Menon
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Publication number: 20250117360Abstract: 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: ApplicationFiled: October 30, 2024Publication date: April 10, 2025Applicant: Intel CorporationInventors: Jorge Parra, Wei-yu Chen, Kaiyu Chen, Varghese George, Junjie Gu, Chandra Gurram, Guei-Yuan Lueh, Stephen Junkins, Subramaniam Maiyuran, Supratim Pal
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Publication number: 20250117356Abstract: 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: ApplicationFiled: October 15, 2024Publication date: April 10, 2025Applicant: Intel CorporationInventors: 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
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Publication number: 20250103546Abstract: 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: ApplicationFiled: October 4, 2024Publication date: March 27, 2025Applicant: Intel CorporationInventors: 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
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Publication number: 20250103547Abstract: 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: ApplicationFiled: October 4, 2024Publication date: March 27, 2025Applicant: INTEL CORPORATIONInventors: 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
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Publication number: 20250104179Abstract: A disaggregated processor package can be configured to accept interchangeable chiplets. Interchangeability is enabled by specifying a standard physical interconnect for chiplets that can enable the chiplet to interface with a fabric or bridge interconnect. Chiplets from different IP designers can conform to the common interconnect, enabling such chiplets to be interchangeable during assembly. The fabric and bridge interconnects logic on the chiplet can then be configured to confirm with the actual interconnect layout of the on-board logic of the chiplet. Additionally, data from chiplets can be transmitted across an inter-chiplet fabric using encapsulation, such that the actual data being transferred is opaque to the fabric, further enable interchangeability of the individual chiplets. With such an interchangeable design, cache or DRAM memory can be inserted into memory chiplet slots, while compute or graphics chiplets with a higher or lower core count can be inserted into logic chiplet slots.Type: ApplicationFiled: October 3, 2024Publication date: March 27, 2025Applicant: Intel CorporationInventors: Altug Koker, Lance Cheney, Eric Finley, Varghese George, Sanjeev Jahagirdar, Josh Mastronarde, Naveen Matam, Iqbal Rajwani, Lakshminarayanan Striramassarma, Melaku Teshome, Vikranth Vemulapalli, Binoj Xavier
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Publication number: 20250103511Abstract: 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: ApplicationFiled: October 3, 2024Publication date: March 27, 2025Applicant: Intel CorporationInventors: 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
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Publication number: 20250103548Abstract: 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: ApplicationFiled: November 14, 2024Publication date: March 27, 2025Applicant: Intel CorporationInventors: 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
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Publication number: 20250104180Abstract: 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: ApplicationFiled: December 3, 2024Publication date: March 27, 2025Applicant: Intel CorporationInventors: Abhishek Appu, Subramaniam Maiyuran, Mike Macpherson, Fangwen Fu, Jiasheng Chen, Varghese George, Vasanth Ranganathan, Ashutosh Garg, Joydeep Ray
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Patent number: 12254526Abstract: 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: GrantFiled: March 15, 2019Date of Patent: March 18, 2025Assignee: Intel CorporationInventors: 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
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Patent number: 12242414Abstract: 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: GrantFiled: March 14, 2020Date of Patent: March 4, 2025Assignee: INTEL CORPORATIONInventors: 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
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Patent number: 12242846Abstract: 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: GrantFiled: March 27, 2024Date of Patent: March 4, 2025Assignee: INTEL CORPORATIONInventors: Naveen Mellempudi, Subramaniam Maiyuran, Varghese George, Fangwen Fu, Shuai Mu, Supratim Pal, Wei Xiong
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Publication number: 20250068588Abstract: 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: ApplicationFiled: September 3, 2024Publication date: February 27, 2025Applicant: Intel CorporationInventors: 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
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Publication number: 20250061535Abstract: Embodiments described herein provide techniques to disaggregate an architecture of a system on a chip integrated circuit into multiple distinct chiplets that can be packaged onto a common chassis. In one embodiment, a graphics processing unit or parallel processor is composed from diverse silicon chiplets that are separately manufactured. A chiplet is an at least partially and distinctly packaged integrated circuit that includes distinct units of logic that can be assembled with other chiplets into a larger package. A diverse set of chiplets with different IP core logic can be assembled into a single device.Type: ApplicationFiled: August 30, 2024Publication date: February 20, 2025Applicant: Intel CorporationInventors: Naveen Matam, Lance Cheney, Eric Finley, Varghese George, Sanjeev Jahagirdar, Altug Koker, Josh Mastronarde, Iqbal Rajwani, Lakshminarayanan Striramassarma, Melaku Teshome, Vikranth Vemulapalli, Binoj Xavier
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Patent number: 12229581Abstract: 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: GrantFiled: August 29, 2023Date of Patent: February 18, 2025Assignee: Intel CorporationInventors: Rajesh Sankaran, Bret Toll, William Rash, Subramaniam Maiyuran, Gang Chen, Varghese George
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Patent number: 12229867Abstract: One embodiment provides a graphics processor comprising a block of execution resources, a cache memory, a cache memory prefetcher, and circuitry including a programmable neural network unit, the programmable neural network unit comprising a network hardware block including circuitry to perform neural network operations and activation operations for a layer of a neural network, the programmable neural network unit addressable by cores within the block of graphics cores and the neural network hardware block configured to perform operations associated with a neural network configured to determine a prefetch pattern for the cache memory prefetcher.Type: GrantFiled: May 1, 2023Date of Patent: February 18, 2025Assignee: Intel CorporationInventors: Hugues Labbe, Darrel Palke, Sherine Abdelhak, Jill Boyce, Varghese George, Scott Janus, Adam Lake, Zhijun Lei, Zhengmin Li, Mike MacPherson, Carl Marshall, Selvakumar Panneer, Prasoonkumar Surti, Karthik Veeramani, Deepak Vembar, Vallabhajosyula Srinivasa Somayazulu
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Patent number: 12223353Abstract: Apparatuses to synchronize lanes that diverge or threads that drift are disclosed. In one embodiment, a graphics multiprocessor includes a queue having an initial state of groups with a first group having threads of first and second instruction types and a second group having threads of the first and second instruction types. A regroup engine (or regroup circuitry) regroups threads into a third group having threads of the first instruction type and a fourth group having threads of the second instruction type.Type: GrantFiled: October 5, 2023Date of Patent: February 11, 2025Assignee: INTEL CORPORATIONInventors: Valentin Andrei, Subramaniam Maiyuran, SungYe Kim, Varghese George, Altug Koker, Aravindh Anantaraman
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Patent number: 12210477Abstract: 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: GrantFiled: March 14, 2020Date of Patent: January 28, 2025Assignee: Intel CorporationInventors: 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