Invention Grant
- Patent Title: Compression for sparse data structures utilizing mode search approximation
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Application No.: US18066436Application Date: 2022-12-15
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Publication No.: US12086120B2Publication Date: 2024-09-10
- Inventor: Prasoonkumar Surti , Abhishek R. Appu , Karol Szerszen , Eric Liskay , Karthik Vaidyanathan
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: INTEL CORPORATION
- Current Assignee: INTEL CORPORATION
- Current Assignee Address: US CA Santa Clara
- Agency: JAFFERY WATSON MENDONSA & HAMILTON LLP
- Main IPC: G06F16/22
- IPC: G06F16/22 ; G06N20/00 ; G06T1/20

Abstract:
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.
Public/Granted literature
- US20230252010A1 COMPRESSION FOR SPARSE DATA STRUCTURES UTILIZING MODE SEARCH APPROXIMATION Public/Granted day:2023-08-10
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