Systems and methods of parallel and distributed processing of datasets for model approximation
US11385901B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 13, 2020 |
| Grant date | Jul 12, 2022 |
| Priority date | — |
| Expiry date | Jan 15, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system including: at least one processor; and at least one memory having stored thereon computer program code that, when executed by the at least one processor, controls the system to: receive a data model identification and a dataset; in response to determining that the data model does not contain a hierarchical structure, perform expectation propagation on the dataset to approximate the data model with a hierarchical structure; divide the dataset into a plurality of channels; for each of the plurality of channels: divide the data into a plurality of microbatches; process each microbatch of the plurality of microbatches through parallel iterators; and process the output of the parallel iterators through single-instruction multiple-data (SIMD) layers; and asynchronously merge results of the SIMD layers.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.