Invention Grant
- Patent Title: Method for approximate k-nearest-neighbor search on parallel hardware accelerators
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Application No.: US16715226Application Date: 2019-12-16
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Publication No.: US11244245B2Publication Date: 2022-02-08
- Inventor: Edward Bortnikov , Alexander Libov , Ohad Shacham
- Applicant: VERIZON PATENT AND LICENSING INC.
- Applicant Address: US NJ Basking Ridge
- Assignee: VERIZON PATENT AND LICENSING INC.
- Current Assignee: VERIZON PATENT AND LICENSING INC.
- Current Assignee Address: US NJ Basking Ridge
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06N20/00 ; G06K9/00 ; G06F17/10 ; G06K9/62 ; G06F16/903

Abstract:
In one embodiment, a processor of a computing device receives a query. The computing device may compare a centroid of each of a plurality of clusters to the query such that a subset of the plurality of clusters is selected, each of the plurality of clusters having a set of data points. An assignment of the subset of the plurality of clusters may be communicated to a hardware accelerator of the computing device. A plurality of threads of the hardware accelerator of the computing device may generate one or more distance tables that store results of intermediate computations corresponding to the query and the subset of the plurality of clusters. The distance tables may be stored in shared memory of the hardware accelerator. A plurality of threads of the hardware accelerator may determine a plurality of data points using the distance tables. The processor may provide query results pertaining to at least a portion of the plurality of data points.
Information query