Patents by Inventor Eric Liskay
Eric Liskay 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: 20260079905Abstract: Embodiments are generally directed to compression for compression for sparse data structures utilizing mode search approximation. An embodiment of an apparatus includes one or more processors including a graphics processor to process data; and a memory for storage of data, including compressed data. The one or more processors are to provide for compression of a data structure, including identification of a mode in the data structure, the data structure including a plurality of values and the mode being a most repeated value in a data structure, wherein identification of the mode includes application of a mode approximation operation, and encoding of an output vector to include the identified mode, a significance map to indicate locations at which the mode is present in the data structure, and remaining uncompressed data from the data structure.Type: ApplicationFiled: September 17, 2025Publication date: March 19, 2026Applicant: Intel CorporationInventors: Prasoonkumar Surti, Abhishek R. Appu, Karol Szerszen, Eric Liskay, Karthik Vaidyanathan
-
Patent number: 12450218Abstract: Embodiments are generally directed to compression for compression for sparse data structures utilizing mode search approximation. An embodiment of an apparatus includes one or more processors including a graphics processor to process data; and a memory for storage of data, including compressed data. The one or more processors are to provide for compression of a data structure, including identification of a mode in the data structure, the data structure including a plurality of values and the mode being a most repeated value in a data structure, wherein identification of the mode includes application of a mode approximation operation, and encoding of an output vector to include the identified mode, a significance map to indicate locations at which the mode is present in the data structure, and remaining uncompressed data from the data structure.Type: GrantFiled: August 7, 2024Date of Patent: October 21, 2025Assignee: Intel CorporationInventors: Prasoonkumar Surti, Abhishek R. Appu, Karol Szerszen, Eric Liskay, Karthik Vaidyanathan
-
Publication number: 20250036608Abstract: Embodiments are generally directed to compression for compression for sparse data structures utilizing mode search approximation. An embodiment of an apparatus includes one or more processors including a graphics processor to process data; and a memory for storage of data, including compressed data. The one or more processors are to provide for compression of a data structure, including identification of a mode in the data structure, the data structure including a plurality of values and the mode being a most repeated value in a data structure, wherein identification of the mode includes application of a mode approximation operation, and encoding of an output vector to include the identified mode, a significance map to indicate locations at which the mode is present in the data structure, and remaining uncompressed data from the data structure.Type: ApplicationFiled: August 7, 2024Publication date: January 30, 2025Applicant: Intel CorporationInventors: Prasoonkumar Surti, Abhishek R. Appu, Karol Szerszen, Eric Liskay, Karthik Vaidyanathan
-
Patent number: 12086120Abstract: Embodiments are generally directed to compression for compression for sparse data structures utilizing mode search approximation. An embodiment of an apparatus includes one or more processors including a graphics processor to process data; and a memory for storage of data, including compressed data. The one or more processors are to provide for compression of a data structure, including identification of a mode in the data structure, the data structure including a plurality of values and the mode being a most repeated value in a data structure, wherein identification of the mode includes application of a mode approximation operation, and encoding of an output vector to include the identified mode, a significance map to indicate locations at which the mode is present in the data structure, and remaining uncompressed data from the data structure.Type: GrantFiled: December 15, 2022Date of Patent: September 10, 2024Assignee: INTEL CORPORATIONInventors: Prasoonkumar Surti, Abhishek R. Appu, Karol Szerszen, Eric Liskay, Karthik Vaidyanathan
-
Publication number: 20240281249Abstract: One embodiment provides a graphics processor comprising memory access circuitry configured to receive a message from an instruction execution resource and determine a destination for the message, the destination one of shared function circuitry of a graphics core or a set of memory banks within the graphics core. The memory access circuitry then routes the message to the shared function circuitry in response to a determination that the message is directed to the shared function circuitry or routes the message to a message sequencer associated with the instruction execution resource in response to a determination that the message is directed to the set of memory banks.Type: ApplicationFiled: February 17, 2023Publication date: August 22, 2024Applicant: Intel CorporationInventors: Abhishek R. Appu, Altug Koker, Joydeep Ray, Karthik Vaidyanathan, Sreedhar Chalasani, Eric Liskay, Prathamesh Raghunath Shinde, Vasanth Ranganathan, Michael J. Norris, Rajasekhar Pantangi
-
Publication number: 20240211403Abstract: One embodiment provides a graphics processor comprising memory access circuitry configured to generate a virtual address for pixel data at a pixel coordinate on a surface in memory to facilitate the caching of the pixel data in a cache memory before the actual memory address of the pixel coordinate is able to be determined.Type: ApplicationFiled: December 21, 2022Publication date: June 27, 2024Applicant: Intel CorporationInventors: Abhishek R. Appu, Joydeep Ray, Karthik Vaidyanathan, Sreedhar Chalasani, Eric Liskay, Prathamesh Raghunath Shinde, Vasanth Ranganathan, Michael J. Norris, Rajasekhar Pantangi, Altug Koker
-
Publication number: 20230252010Abstract: Embodiments are generally directed to compression for compression for sparse data structures utilizing mode search approximation. An embodiment of an apparatus includes one or more processors including a graphics processor to process data; and a memory for storage of data, including compressed data. The one or more processors are to provide for compression of a data structure, including identification of a mode in the data structure, the data structure including a plurality of values and the mode being a most repeated value in a data structure, wherein identification of the mode includes application of a mode approximation operation, and encoding of an output vector to include the identified mode, a significance map to indicate locations at which the mode is present in the data structure, and remaining uncompressed data from the data structure.Type: ApplicationFiled: December 15, 2022Publication date: August 10, 2023Applicant: Intel CorporationInventors: Prasoonkumar Surti, Abhishek R. Appu, Karol Szerszen, Eric Liskay, Karthik Vaidyanathan
-
Patent number: 11556511Abstract: Embodiments are generally directed to compression for compression for sparse data structures utilizing mode search approximation. An embodiment of an apparatus includes one or more processors including a graphics processor to process data; and a memory for storage of data, including compressed data. The one or more processors are to provide for compression of a data structure, including identification of a mode in the data structure, the data structure including a plurality of values and the mode being a most repeated value in a data structure, wherein identification of the mode includes application of a mode approximation operation, and encoding of an output vector to include the identified mode, a significance map to indicate locations at which the mode is present in the data structure, and remaining uncompressed data from the data structure.Type: GrantFiled: April 1, 2019Date of Patent: January 17, 2023Assignee: Intel CorporationInventors: Prasoonkumar Surti, Abhishek R. Appu, Karol Szerszen, Eric Liskay, Karthik Vaidyanathan
-
Publication number: 20200311041Abstract: Embodiments are generally directed to compression for compression for sparse data structures utilizing mode search approximation. An embodiment of an apparatus includes one or more processors including a graphics processor to process data; and a memory for storage of data, including compressed data. The one or more processors are to provide for compression of a data structure, including identification of a mode in the data structure, the data structure including a plurality of values and the mode being a most repeated value in a data structure, wherein identification of the mode includes application of a mode approximation operation, and encoding of an output vector to include the identified mode, a significance map to indicate locations at which the mode is present in the data structure, and remaining uncompressed data from the data structure.Type: ApplicationFiled: April 1, 2019Publication date: October 1, 2020Applicant: Intel CorporationInventors: Prasoonkumar Surti, Abhishek R. Appu, Karol Szerszen, Eric Liskay, Karthik Vaidyanathan