Predictive model compiler for generating a statically scheduled binary with known resource constraints
US11170307B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 14, 2018 |
| Grant date | Nov 9, 2021 |
| Priority date | — |
| Expiry date | Jun 10, 2040 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02D10/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system receives a predictive model and receives one or more runtime constraints. The system generates a directed acyclic graph (DAG) of the predictive model indicating dependencies. The system compiles the predictive model into first instructions for a first processor based on the one or more runtime constraints and the DAG. The system packages first instructions, the one or more runtime constraints, and the DAG of the predictive model in a first binary. The system recompiles the predictive model into second instructions for a second processor based on the runtime constraints and the DAG stored in the first processor. The system packages the second instructions, the DAG, and the runtime constraints in a second binary.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.