Patents by Inventor Kamal Sinha

Kamal Sinha 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).

  • Instructions and logic to perform floating-point and integer operations for machine learning
    Patent number: 10474458
    Abstract: One embodiment provides for a machine-learning hardware accelerator comprising a compute unit having an adder and a multiplier that are shared between integer data path and a floating-point datapath, the upper bits of input operands to the multiplier to be gated during floating-point operation.
    Type: Grant
    Filed: October 18, 2017
    Date of Patent: November 12, 2019
    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
  • COMPUTE OPTIMIZATIONS FOR NEURAL NETWORKS
    Publication number: 20190332903
    Abstract: One embodiment provides for a compute apparatus comprising a decode unit to decode a single instruction into a decoded instruction that specifies multiple operands including a multi-bit input value and a bipolar binary weight associated with a neural network and an arithmetic logic unit including a multiplier, an adder, and an accumulator register. To execute the decoded instruction, the multiplier is to perform a multiplication operation on the multi-bit input based on the bipolar binary weight to generate an intermediate product and the adder is to add the intermediate product to a value stored in the accumulator register and update the value stored in the accumulator register.
    Type: Application
    Filed: July 8, 2019
    Publication date: October 31, 2019
    Applicant: Intel Corporation
    Inventors: Kevin Nealis, Anbang Yao, Xiaoming Chen, Elmoustapha Ould-Ahmed-Vall, Sara S. Baghsorkhi, Eriko Nurvitadhi, Balaji Vembu, Nicolas C. Galoppo Von Borries, Rajkishore Barik, Tsung-Han Lin, Kamal Sinha
  • Efficient multi-context thread distribution
    Patent number: 10452397
    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 determine a first number of threads to be scheduled for each context of a plurality of contexts in a multi-context processing system, allocate a second number of streaming multiprocessors (SMs) to the respective plurality of contexts, and dispatch threads from the plurality of contexts only to the streaming multiprocessor(s) allocated to the respective plurality of contexts. Other embodiments are also disclosed and claimed.
    Type: Grant
    Filed: April 1, 2017
    Date of Patent: October 22, 2019
    Assignee: INTEL CORPORATION
    Inventors: Joydeep Ray, Altug Koker, Balaji Vembu, Abhishek R. Appu, Kamal Sinha, Prasoonkumar Surti, Kiran C. Veernapu
  • System, apparatus and method for increasing performance in a processor during a voltage ramp
    Patent number: 10444817
    Abstract: In one embodiment, a processor includes: a graphics processor to execute a workload; and a power controller coupled to the graphics processor. The power controller may include a voltage ramp circuit to receive a request for the graphics processor to operate at a first performance state having a first operating voltage and a first operating frequency and cause an output voltage of a voltage regulator to increase to the first operating voltage. The voltage ramp circuit may be configured to enable the graphics processor to execute the workload at an interim performance state having an interim operating voltage and an interim operating frequency when the output voltage reaches a minimum operating voltage. Other embodiments are described and claimed.
    Type: Grant
    Filed: April 17, 2017
    Date of Patent: October 15, 2019
    Assignee: Intel Corporation
    Inventors: Altug Koker, Abhishek R. Appu, Bhushan M. Borole, Wenyin Fu, Kamal Sinha, Joydeep Ray
  • COORDINATION AND INCREASED UTILIZATION OF GRAPHICS PROCESSORS DURING INFERENCE
    Publication number: 20190295211
    Abstract: A mechanism is described for facilitating inference coordination and processing utilization for machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, at training time, information relating to one or more tasks to be performed according to a training dataset relating to a processor including a graphics processor. The method may further include analyzing the information to determine one or more portions of hardware relating to the processor capable of supporting the one or more tasks, and configuring the hardware to pre-select the one or more portions to perform the one or more tasks, while other portions of the hardware remain available for other tasks.
    Type: Application
    Filed: April 8, 2019
    Publication date: September 26, 2019
    Applicant: Intel Corporation
    Inventors: Abhishek R. Appu, Altug Koker, John C. Weast, Mike B. Macpherson, Linda L. Hurd, Sara S. Baghsorkhi, Justin E. Gottschlich, Prasoonkumar Surti, Chandrasekaran Sakthivel, Liwei Ma, Elmoustapha Ould-Ahmed-Vall, Kamal Sinha, Joydeep Ray, Balaji Vembu, Sanjeev Jahagirdar, Vasanth Ranganathan, Dukhwan Kim
  • Hierarchical general register file (GRF) for execution block
    Patent number: 10423415
    Abstract: Disclosed herein is an apparatus which comprises a plurality of execution units, and a first general register file (GRF) communicatively couple to the plurality of execution units, wherein the first GRF is shared by the plurality of execution units.
    Type: Grant
    Filed: April 1, 2017
    Date of Patent: September 24, 2019
    Assignee: INTEL CORPORATION
    Inventors: Abhishek R. Appu, Altug Koker, Joydeep Ray, Kamal Sinha, Kiran C. Veernapu, Subramaniam Maiyuran, Prasoonkumar Surti, Guei-Yuan Lueh, David Puffer, Supratim Pal, Eric J. Hoekstra, Travis T. Schluessler, Linda L. Hurd
  • Compute optimization mechanism for deep neural networks
    Patent number: 10417734
    Abstract: An apparatus to facilitate compute optimization is disclosed. The apparatus includes a memory device including a first integrated circuit (IC) including a plurality of memory channels and a second IC including a plurality of processing units, each coupled to a memory channel in the plurality of memory channels.
    Type: Grant
    Filed: September 7, 2017
    Date of Patent: September 17, 2019
    Assignee: INTEL CORPORATION
    Inventors: Prasoonkumar Surti, Narayan Srinivasa, Feng Chen, Joydeep Ray, Ben J. Ashbaugh, Nicolas C. Galoppo Von Borries, Eriko Nurvitadhi, Balaji Vembu, Tsung-Han Lin, Kamal Sinha, Rajkishore Barik, Sara S. Baghsorkhi, Justin E. Gottschlich, Altug Koker, Nadathur Rajagopalan Satish, Farshad Akhbari, Dukhwan Kim, Wenyin Fu, Travis T. Schluessler, Josh B. Mastronarde, Linda L. Hurd, John H. Feit, Jeffery S. Boles, Adam T. Lake, Karthik Vaidyanathan, Devan Burke, Subramaniam Maiyuran, Abhishek R. Appu
  • Compute optimization mechanism for deep neural networks
    Patent number: 10417731
    Abstract: An apparatus to facilitate compute optimization is disclosed. The apparatus includes a plurality of processing units each comprising a plurality of execution units (EUs), wherein the plurality of EUs comprise a first EU type and a second EU type.
    Type: Grant
    Filed: April 24, 2017
    Date of Patent: September 17, 2019
    Assignee: INTEL CORPORATION
    Inventors: Prasoonkumar Surti, Narayan Srinivasa, Feng Chen, Joydeep Ray, Ben J. Ashbaugh, Nicolas C. Galoppo Von Borries, Eriko Nurvitadhi, Balaji Vembu, Tsung-Han Lin, Kamal Sinha, Rajkishore Barik, Sara S. Baghsorkhi, Justin E. Gottschlich, Altug Koker, Nadathur Rajagopalan Satish, Farshad Akhbari, Dukhwan Kim, Wenyin Fu, Travis T. Schluessler, Josh B. Mastronarde, Linda L. Hurd, John H. Feit, Jeffery S. Boles, Adam T. Lake, Karthik Vaidyanathan, Devan Burke, Subramaniam Maiyuran, Abhishek R. Appu
  • System, apparatus and method for providing a local clock signal for a memory array
    Patent number: 10409319
    Abstract: In an embodiment, a processor includes at least one processor core and at least one graphics processor. The at least one graphics processor may include a register file having a plurality of entries, where at least a portion of the at least one graphics processor is to operate at a first operating frequency and the register file is to operate at a second operating frequency greater than the first operating frequency, to enable the at least one graphics processor to issue a plurality of write requests to the register file in a single clock cycle at the first operating frequency and receive a plurality of data elements of a plurality of read requests from the register file in the single clock cycle at the first operating frequency. Other embodiments are described and claimed.
    Type: Grant
    Filed: April 17, 2017
    Date of Patent: September 10, 2019
    Assignee: Intel Corporation
    Inventors: Iqbal R. Rajwani, Altug Koker, Bhushan M. Borole, Kamal Sinha, Abhishek R. Appu, Anupama A. Thaploo, Sunil Nekkanti, Wenyin Fu
  • Compute optimizations for neural networks
    Patent number: 10410098
    Abstract: One embodiment provides for a compute apparatus to perform machine learning operations, the apparatus comprising a decode unit to decode a single instruction into a decoded instruction that specifies multiple operands including an input value and a quantized weight value associated with a neural network and an arithmetic logic unit including a barrel shifter, an adder, and an accumulator register, wherein to execute the decoded instruction, the barrel shifter is to shift the input value by the quantized weight value to generate a shifted input value and the adder is to add the shifted input value to a value stored in the accumulator register and update the value stored in the accumulator register.
    Type: Grant
    Filed: April 24, 2017
    Date of Patent: September 10, 2019
    Assignee: Intel Corporation
    Inventors: Kevin Nealis, Anbang Yao, Xiaoming Chen, Elmoustapha Ould-Ahmed-Vall, Sara S. Baghsorkhi, Eriko Nurvitadhi, Balaji Vembu, Nicolas C. Galoppo Von Borries, Rajkishore Barik, Tsung-Han Lin, Kamal Sinha
  • Frequent Data Value Compression for Graphics Processing Units
    Publication number: 20190272613
    Abstract: A control surface tracks an individual cacheline in the original surface for frequent data values. If so, control surface bits are set. When reading a cacheline from memory, first the control surface bits are read. If they happen to be set, then the original memory read is skipped altogether and instead the bits from the control surface provide the value for the entire cacheline.
    Type: Application
    Filed: February 19, 2019
    Publication date: September 5, 2019
    Inventors: Saurabh Sharma, Abhishek Venkatesh, Travis T. Schluessler, Prasoonkumar Surti, Altug Koker, Aravindh V. Anantaraman, Pattabhiraman P. K., Abhishek R. Appu, Joydeep Ray, Kamal Sinha, Vasanth Ranganathan, Bhushan M. Borole, Wenyin Fu, Eric J. Hoekstra, Linda L. Hurd
  • Compression mechanism
    Patent number: 10403003
    Abstract: An apparatus to facilitate compute compression is disclosed. The apparatus includes a graphics processing unit including mapping logic to map a first block of integer pixel data to a compression block and compression logic to compress the compression block.
    Type: Grant
    Filed: April 24, 2017
    Date of Patent: September 3, 2019
    Assignee: INTEL CORPORATION
    Inventors: Abhishek R. Appu, Altug Koker, Joydeep Ray, Balaji Vembu, Prasoonkumar Surti, Kamal Sinha, Nadathur Rajagopalan Satish, Narayan Srinivasa, Feng Chen, Dukhwan Kim, Farshad Akhbari
  • Sensory enhanced augmented reality and virtual reality device
    Patent number: 10401954
    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 17, 2017
    Date of Patent: September 3, 2019
    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
  • Frequent Data Value Compression for Graphics Processing Units
    Publication number: 20190251655
    Abstract: A control surface tracks an individual cacheline in the original surface for frequent data values. If so, control surface bits are set. When reading a cacheline from memory, first the control surface bits are read. If they happen to be set, then the original memory read is skipped altogether and instead the bits from the control surface provide the value for the entire cacheline.
    Type: Application
    Filed: April 18, 2019
    Publication date: August 15, 2019
    Inventors: Saurabh Sharma, Abhishek Venkatesh, Travis T. Schluessler, Prasoonkumar Surti, Altug Koker, Aravindh V. Anantaraman, Pattabhiraman P. K., Abhishek R. Appu, Joydeep Ray, Kamal Sinha, Vasanth Ranganathan, Bhushan M. Borole, Wenyin Fu, Eric J. Hoekstra, Linda L. Hurd
  • AVOID CACHE LOOKUP FOR COLD CACHE
    Publication number: 20190251033
    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 receive, in a read/modify/write (RMW) pipeline, a cache access request from a requestor, wherein the cache request comprises a cache set identifier associated with requested data in the cache set, determine whether the cache set associated with the cache set identifier is in an inaccessible invalid state, and in response to a determination that the cache set is in an inaccessible state or an invalid state, to terminate the cache access request. Other embodiments are also disclosed and claimed.
    Type: Application
    Filed: February 15, 2019
    Publication date: August 15, 2019
    Applicant: Intel Corporation
    Inventors: Abhishek R. Appu, Altug Koker, Joydeep Ray, Prasoonkumar Surti, Kamal Sinha, Kiran C. Veernapu, Balaji Vembu
  • EXTEND GPU/CPU COHERENCY TO MULTI-GPU CORES
    Publication number: 20190243764
    Abstract: In an example, an apparatus comprises a plurality of processing unit cores, a plurality of cache memory modules associated with the plurality of processing unit cores, and a machine learning model communicatively coupled to the plurality of processing unit cores, wherein the plurality of cache memory modules share cache coherency data with the machine learning model. Other embodiments are also disclosed and claimed.
    Type: Application
    Filed: February 15, 2019
    Publication date: August 8, 2019
    Applicant: Intel Corporation
    Inventors: Chandrasekaran Sakthivel, Prasoonkumar Surti, John C. Weast, Sara S. Baghsorkhi, Justin E. Gottschlich, Abhishek R. Appu, Nicolas C. Galoppo Von Borries, Joydeep Ray, Narayan Srinivasa, Feng Chen, Ben J. Ashbaugh, Rajkishore Barik, Tsung-Han Lin, Kamal Sinha, Eriko Nurvitadhi, Balaji Vembu, Altug Koker
  • Instructions and logic to perform floating-point and integer operations for machine learning
    Patent number: 10353706
    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: November 21, 2017
    Date of Patent: July 16, 2019
    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
  • Reducing Aging of Register File Keeper Circuits
    Publication number: 20190213161
    Abstract: By shutting off keeper transistors during pre-charge, the aging on these devices may be reduced. This means that a relatively weaker keeper may be used for noise compared to an overdesigned stronger keeper. Using a relatively weaker keeper circuit results in a faster evaluation stage and improved minimum read voltage in some embodiments.
    Type: Application
    Filed: March 15, 2019
    Publication date: July 11, 2019
    Inventors: Anupama A. Thaploo, Bhushan M. Borole, Bee Ngo, Iqbal R. Rajwani, Altug Koker, Abhishek R. Appu, Kamal Sinha, Wenyin Fu
  • Intelligent thread dispatch and vectorization of atomic operations
    Patent number: 10346166
    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: Grant
    Filed: April 28, 2017
    Date of Patent: July 9, 2019
    Assignee: 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
  • Machine learning sparse computation mechanism
    Patent number: 10346944
    Abstract: An apparatus to facilitate processing of a sparse matrix is disclosed. The apparatus includes a plurality of processing units each comprising one or more processing elements, including logic to read operands, a multiplication unit to multiply two or more operands and a scheduler to identify operands having a zero value and prevent scheduling of the operands having the zero value at the multiplication unit.
    Type: Grant
    Filed: April 9, 2017
    Date of Patent: July 9, 2019
    Assignee: INTEL CORPORATION
    Inventors: Eriko Nurvitadhi, Balaji Vembu, Tsung-Han Lin, Kamal Sinha, Rajkishore Barik, Nicolas C. Galoppo Von Borries