Patents by Inventor Wishwesh Anil GANDHI

Wishwesh Anil GANDHI 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).

  • Publication number: 20240069736
    Abstract: Various embodiments include techniques for performing self-synchronizing remote memory operations in a multiprocessor computing system. During a remote memory operation in the multiprocessor computing system, a source processing unit transmits multiple segments of data to a destination processing. For each segment of data, the source processing unit transmits a remote memory operation to the destination processing unit that includes associated metadata that identifies the memory location of a corresponding synchronization object. The remote memory operation along with the metadata is transmitted as a single unit to the destination processing unit. The destination processing unit splits the operation into the remote memory operation and the memory synchronization operation. As a result, the source processing unit avoids the need to perform a separate memory synchronization operation, thereby reducing inter-processor communications and increasing performance of remote memory operations.
    Type: Application
    Filed: August 31, 2022
    Publication date: February 29, 2024
    Inventors: Srinivas Santosh Kumar MADUGULA, Olivier GIROUX, Wishwesh Anil GANDHI, Michael Allen PARKER, Raghuram L, Ivan TANASIC, Manan PATEL, Mark HUMMEL, Alexander L. MINKIN
  • Patent number: 11893423
    Abstract: A parallel processing unit (PPU) can be divided into partitions. Each partition is configured to operate similarly to how the entire PPU operates. A given partition includes a subset of the computational and memory resources associated with the entire PPU. Software that executes on a CPU partitions the PPU for an admin user. A guest user is assigned to a partition and can perform processing tasks within that partition in isolation from any other guest users assigned to any other partitions. Because the PPU can be divided into isolated partitions, multiple CPU processes can efficiently utilize PPU resources.
    Type: Grant
    Filed: September 5, 2019
    Date of Patent: February 6, 2024
    Assignee: NVIDIA CORPORATION
    Inventors: Jerome F. Duluk, Jr., Gregory Scott Palmer, Jonathon Stuart Ramsey Evans, Shailendra Singh, Samuel H. Duncan, Wishwesh Anil Gandhi, Lacky V. Shah, Sonata Gale Wen, Feiqi Su, James Leroy Deming, Alan Menezes, Pranav Vaidya, Praveen Joginipally, Timothy John Purcell, Manas Mandal
  • Publication number: 20230393788
    Abstract: A combined on-package and off-package memory system uses a custom base-layer within which are fabricated one or more dedicated interfaces to off-package memories. An on-package processor and on-package memories are also directly coupled to the custom base-layer. The custom base-layer includes memory management logic between the processor and memories (both off and on package) to steer requests. The memories are exposed as a combined memory space having greater bandwidth and capacity compared with either the off-package memories or the on-package memories alone. The memory management logic services requests while maintaining quality of service (QoS) to satisfy bandwidth requirements for each allocation. An allocation may include any combination of the on and/or off package memories. The memory management logic also manages data migration between the on and off package memories.
    Type: Application
    Filed: August 23, 2023
    Publication date: December 7, 2023
    Inventors: Nilandrish Chatterjee, James Michael O'Connor, Donghyuk Lee, Gaurav Uttreja, Wishwesh Anil Gandhi
  • Publication number: 20230333746
    Abstract: Various embodiments include techniques for performing speculative remote memory operation tracking in a multiprocessor computing system. Conventionally, transfers of data between processors and other components of a computing system require memory synchronization operations to determine that the data is valid and coherent before the data is transferred from a destination to a requesting source. Existing techniques for performing these memory synchronization operations are increasingly inefficient as the number of components in a computing system increases, particularly for remote memory operations. The disclosed techniques track remote memory operations and speculatively perform these memory synchronization operations. As a result, a given memory synchronization operation is often complete prior to the corresponding remote memory operation arrives at the destination, leading to improved efficiency and performance of remote memory operations in complex computing systems.
    Type: Application
    Filed: November 17, 2022
    Publication date: October 19, 2023
    Inventors: Raymond Hoi Man WONG, Debajit BHATTACHARYA, Michael Allen PARKER, Wishwesh Anil GANDHI
  • Patent number: 11789649
    Abstract: A combined on-package and off-package memory system uses a custom base-layer within which are fabricated one or more dedicated interfaces to off-package memories. An on-package processor and on-package memories are also directly coupled to the custom base-layer. The custom base-layer includes memory management logic between the processor and memories (both off and on package) to steer requests. The memories are exposed as a combined memory space having greater bandwidth and capacity compared with either the off-package memories or the on-package memories alone. The memory management logic services requests while maintaining quality of service (QoS) to satisfy bandwidth requirements for each allocation. An allocation may include any combination of the on and/or off package memories. The memory management logic also manages data migration between the on and off package memories.
    Type: Grant
    Filed: April 22, 2021
    Date of Patent: October 17, 2023
    Assignee: NVIDIA Corporation
    Inventors: Niladrish Chatterjee, James Michael O'Connor, Donghyuk Lee, Gaurav Uttreja, Wishwesh Anil Gandhi
  • Publication number: 20230315328
    Abstract: Various embodiments include techniques for accessing extended memory in a parallel processing system via a high-bandwidth path to extended memory residing on a central processing unit. The disclosed extended memory system extends the directly addressable high-bandwidth memory local to a parallel processing system and avoids the performance penalties associated with low-bandwidth system memory. As a result, execution threads that are highly parallelizable and access a large memory space execute with increased performance on a parallel processing system relative to prior approaches.
    Type: Application
    Filed: March 18, 2022
    Publication date: October 5, 2023
    Inventors: Hemayet HOSSAIN, Steven E. MOLNAR, Jonathon Stuart Ramsay EVANS, Wishwesh Anil GANDHI, Lacky V. SHAH, Vyas VENKATARAMAN, Mark HAIRGROVE, Geoffrey GERFIN, Jeffrey M. SMITH, Terje BERGSTROM, Vikram SETHI, Piyush PATEL
  • Patent number: 11663036
    Abstract: A parallel processing unit (PPU) can be divided into partitions. Each partition is configured to operate similarly to how the entire PPU operates. A given partition includes a subset of the computational and memory resources associated with the entire PPU. Software that executes on a CPU partitions the PPU for an admin user. A guest user is assigned to a partition and can perform processing tasks within that partition in isolation from any other guest users assigned to any other partitions. Because the PPU can be divided into isolated partitions, multiple CPU processes can efficiently utilize PPU resources.
    Type: Grant
    Filed: September 5, 2019
    Date of Patent: May 30, 2023
    Assignee: NVIDIA CORPORATION
    Inventors: Jerome F. Duluk, Jr., Gregory Scott Palmer, Jonathon Stuart Ramsey Evans, Shailendra Singh, Samuel H. Duncan, Wishwesh Anil Gandhi, Lacky V. Shah, Eric Rock, Feiqi Su, James Leroy Deming, Alan Menezes, Pranav Vaidya, Praveen Joginipally, Timothy John Purcell, Manas Mandal
  • Patent number: 11635986
    Abstract: A parallel processing unit (PPU) can be divided into partitions. Each partition is configured to operate similarly to how the entire PPU operates. A given partition includes a subset of the computational and memory resources associated with the entire PPU. Software that executes on a CPU partitions the PPU for an admin user. A guest user is assigned to a partition and can perform processing tasks within that partition in isolation from any other guest users assigned to any other partitions. Because the PPU can be divided into isolated partitions, multiple CPU processes can efficiently utilize PPU resources.
    Type: Grant
    Filed: September 5, 2019
    Date of Patent: April 25, 2023
    Assignee: NVIDIA CORPORATION
    Inventors: Jerome F. Duluk, Jr., Gregory Scott Palmer, Jonathon Stuart Ramsey Evans, Shailendra Singh, Samuel H. Duncan, Wishwesh Anil Gandhi, Lacky V. Shah, Eric Rock, Feiqi Su, James Leroy Deming, Alan Menezes, Pranav Vaidya, Praveen Joginipally, Timothy John Purcell, Manas Mandal
  • Patent number: 11579925
    Abstract: A parallel processing unit (PPU) can be divided into partitions. Each partition is configured to operate similarly to how the entire PPU operates. A given partition includes a subset of the computational and memory resources associated with the entire PPU. Software that executes on a CPU partitions the PPU for an admin user. A guest user is assigned to a partition and can perform processing tasks within that partition in isolation from any other guest users assigned to any other partitions. Because the PPU can be divided into isolated partitions, multiple CPU processes can efficiently utilize PPU resources.
    Type: Grant
    Filed: September 5, 2019
    Date of Patent: February 14, 2023
    Assignee: NVIDIA CORPORATION
    Inventors: Jerome F. Duluk, Jr., Gregory Scott Palmer, Jonathon Stuart Ramsey Evans, Shailendra Singh, Samuel H. Duncan, Wishwesh Anil Gandhi, Lacky V. Shah, Eric Rock, Feiqi Su, James Leroy Deming, Alan Menezes, Pranav Vaidya, Praveen Joginipally, Timothy John Purcell, Manas Mandal
  • Publication number: 20230021678
    Abstract: Various embodiments include a parallel processing computer system that provides multiple memory synchronization domains in a single parallel processor to reduce unneeded synchronization operations. During execution, one execution kernel may synchronize with one or more other execution kernels by processing outstanding memory references. The parallel processor tracks memory references for each domain to each portion of local and remote memory. During synchronization, the processor synchronizes the memory references for a specific domain while refraining from synchronizing memory references for other domains. As a result, synchronization operations between kernels complete in a reduced amount of time relative to prior approaches.
    Type: Application
    Filed: July 20, 2021
    Publication date: January 26, 2023
    Inventors: Michael Allen PARKER, Debajit BHATTACHARYA, David FONTAINE, Shirish GADRE, Wishwesh Anil GANDHI, Olivier GIROUX, Hemayet HOSSAIN, Ronny M. KRASHINSKY, Ze LONG, Raymond Hoi Man WONG
  • Patent number: 11513686
    Abstract: Accesses between a processor and its external memory is reduced when the processor internally maintains a compressed version of values stored in the external memory. The processor can then refer to the compressed version rather than access the external memory. One compression technique involves maintaining a dictionary on the processor mapping portions of a memory to values. When all of the values of a portion of memory are uniform (e.g., the same), the value is stored in the dictionary for that portion of memory. Thereafter, when the processor needs to access that portion of memory, the value is retrieved from the dictionary rather than from external memory. Techniques are disclosed herein to extend, for example, the capabilities of such dictionary-based compression so that the amount of accesses between the processor and its external memory are further reduced.
    Type: Grant
    Filed: May 5, 2020
    Date of Patent: November 29, 2022
    Assignee: NVIDIA Corporation
    Inventors: Ram Rangan, Suryakant Patidar, Praveen Krishnamurthy, Wishwesh Anil Gandhi
  • Publication number: 20220342595
    Abstract: A combined on-package and off-package memory system uses a custom base-layer within which are fabricated one or more dedicated interfaces to off-package memories. An on-package processor and on-package memories are also directly coupled to the custom base-layer. The custom base-layer includes memory management logic between the processor and memories (both off and on package) to steer requests. The memories are exposed as a combined memory space having greater bandwidth and capacity compared with either the off-package memories or the on-package memories alone. The memory management logic services requests while maintaining quality of service (QoS) to satisfy bandwidth requirements for each allocation. An allocation may include any combination of the on and/or off package memories. The memory management logic also manages data migration between the on and off package memories.
    Type: Application
    Filed: April 22, 2021
    Publication date: October 27, 2022
    Inventors: Niladrish Chatterjee, James Michael O'Connor, Donghyuk Lee, Gaurav Uttreja, Wishwesh Anil Gandhi
  • Patent number: 11372548
    Abstract: Some systems compress data utilized by a user mode software without the user mode software being aware of any compression taking place. To maintain that illusion, such systems prevent user mode software from being aware of and/or accessing the underlying compressed states of the data. While such an approach protects proprietary compression techniques used in such systems from being deciphered, such restrictions limit the ability of user mode software to use the underlying compressed forms of the data in new ways. Disclosed herein are various techniques for allowing user-mode software to access the underlying compressed states of data either directly or indirectly. Such techniques can be used, for example, to allow various user-mode software on a single system or on multiple systems to exchange data in the underlying compression format of the system(s) even when the user mode software is unable to decipher the compression format.
    Type: Grant
    Filed: May 29, 2020
    Date of Patent: June 28, 2022
    Assignee: NVIDIA Corporation
    Inventors: Ram Rangan, Patrick Richard Brown, Wishwesh Anil Gandhi, Steven James Heinrich, Mathias Heyer, Emmett Michael Kilgariff, Praveen Krishnamurthy, Dong Han Ryu
  • Patent number: 11263051
    Abstract: Accesses between a processor and its external memory is reduced when the processor internally maintains a compressed version of values stored in the external memory. The processor can then refer to the compressed version rather than access the external memory. One compression technique involves maintaining a dictionary on the processor mapping portions of a memory to values. When all of the values of a portion of memory are uniform (e.g., the same), the value is stored in the dictionary for that portion of memory. Thereafter, when the processor needs to access that portion of memory, the value is retrieved from the dictionary rather than from external memory. Techniques are disclosed herein to extend, for example, the capabilities of such dictionary-based compression so that the amount of accesses between the processor and its external memory are further reduced.
    Type: Grant
    Filed: May 5, 2020
    Date of Patent: March 1, 2022
    Assignee: NVIDIA Corporation
    Inventors: Ram Rangan, Suryakant Patidar, Praveen Krishnamurthy, Wishwesh Anil Gandhi
  • Patent number: 11249905
    Abstract: A parallel processing unit (PPU) can be divided into partitions. Each partition is configured to operate similarly to how the entire PPU operates. A given partition includes a subset of the computational and memory resources associated with the entire PPU. Software that executes on a CPU partitions the PPU for an admin user. A guest user is assigned to a partition and can perform processing tasks within that partition in isolation from any other guest users assigned to any other partitions. Because the PPU can be divided into isolated partitions, multiple CPU processes can efficiently utilize PPU resources.
    Type: Grant
    Filed: September 5, 2019
    Date of Patent: February 15, 2022
    Assignee: NVIDIA CORPORATION
    Inventors: Jerome F. Duluk, Jr., Gregory Scott Palmer, Jonathon Stuart Ramsey Evans, Shailendra Singh, Samuel H. Duncan, Wishwesh Anil Gandhi, Lacky V. Shah, Eric Rock, Feiqi Su, James Leroy Deming, Alan Menezes, Pranav Vaidya, Praveen Joginipally, Timothy John Purcell, Manas Mandal
  • Publication number: 20210373774
    Abstract: Some systems compress data utilized by a user mode software without the user mode software being aware of any compression taking place. To maintain that illusion, such systems prevent user mode software from being aware of and/or accessing the underlying compressed states of the data. While such an approach protects proprietary compression techniques used in such systems from being deciphered, such restrictions limit the ability of user mode software to use the underlying compressed forms of the data in new ways. Disclosed herein are various techniques for allowing user-mode software to access the underlying compressed states of data either directly or indirectly. Such techniques can be used, for example, to allow various user-mode software on a single system or on multiple systems to exchange data in the underlying compression format of the system(s) even when the user mode software is unable to decipher the compression format.
    Type: Application
    Filed: May 29, 2020
    Publication date: December 2, 2021
    Inventors: Ram Rangan, Patrick Richard Brown, Wishwesh Anil Gandhi, Steven James Heinrich, Mathias Heyer, Emmett Michael Kilgariff, Praveen Krishnamurthy, Dong Han Ryu
  • Publication number: 20210349639
    Abstract: Accesses between a processor and its external memory is reduced when the processor internally maintains a compressed version of values stored in the external memory. The processor can then refer to the compressed version rather than access the external memory. One compression technique involves maintaining a dictionary on the processor mapping portions of a memory to values. When all of the values of a portion of memory are uniform (e.g., the same), the value is stored in the dictionary for that portion of memory. Thereafter, when the processor needs to access that portion of memory, the value is retrieved from the dictionary rather than from external memory. Techniques are disclosed herein to extend, for example, the capabilities of such dictionary-based compression so that the amount of accesses between the processor and its external memory are further reduced.
    Type: Application
    Filed: May 5, 2020
    Publication date: November 11, 2021
    Inventors: Ram Rangan, Suryakant Patidar, Praveen Krishnamurthy, Wishwesh Anil Gandhi
  • Publication number: 20210349761
    Abstract: Accesses between a processor and its external memory is reduced when the processor internally maintains a compressed version of values stored in the external memory. The processor can then refer to the compressed version rather than access the external memory. One compression technique involves maintaining a dictionary on the processor mapping portions of a memory to values. When all of the values of a portion of memory are uniform (e.g., the same), the value is stored in the dictionary for that portion of memory. Thereafter, when the processor needs to access that portion of memory, the value is retrieved from the dictionary rather than from external memory. Techniques are disclosed herein to extend, for example, the capabilities of such dictionary-based compression so that the amount of accesses between the processor and its external memory are further reduced.
    Type: Application
    Filed: May 5, 2020
    Publication date: November 11, 2021
    Inventors: Ram Rangan, Suryakant Patidar, Praveen Krishnamurthy, Wishwesh Anil Gandhi
  • Patent number: 11061571
    Abstract: In various embodiments, a memory interface unit organizes data within a memory tile to facilitate efficient memory accesses. In an embodiment, a memory tile represents a portion of memory that holds multiple chunks of data, where each chunk is stored either in a non-compressed or in a smaller compressed data format. In an embodiment, the tile is organized to pack multiple compressed chunks together so that multiple compressed chunks can be retrieved from memory with a single read access. In another embodiment, the tile is organized to store redundant copies of compressed chunks so that a compressed chunk can be quickly decompressed within a tile without having to relocate other compressed chunks in the tile. Additional embodiments are further disclosed for allowing efficient accesses to both compressed and non-compressed data.
    Type: Grant
    Filed: March 19, 2020
    Date of Patent: July 13, 2021
    Assignee: NVIDIA Corporation
    Inventors: Praveen Krishnamurthy, Wishwesh Anil Gandhi
  • Publication number: 20210157651
    Abstract: A parallel processing unit (PPU), operating in a traditional processing environment or in a virtualized processing environment, can be divided into partitions. Each partition is configured to operate similarly to how the entire PPU operates. A given partition includes a subset of the computational and memory resources associated with the entire PPU. Software that executes on a CPU partitions the PPU for an admin user. A guest user is assigned to a partition and can perform processing tasks within that partition in isolation from any other guest users assigned to any other partitions. Because the PPU can be divided into isolated partitions, multiple CPU processes can efficiently utilize PPU resources.
    Type: Application
    Filed: February 1, 2021
    Publication date: May 27, 2021
    Inventors: Jerome F. DULUK, Jr., Gregory Scott PALMER, Jonathon Stuart Ramsay EVANS, Shailendra SINGH, Samuel H. DUNCAN, Wishwesh Anil GANDHI, Lacky V. SHAH, Eric ROCK, Feiqi SU, James Leroy DEMING, Alan MENEZES, Pranav VAIDYA, Praveen JOGINIPALLY, Timothy John PURCELL, Manas MANDAL